Start your degree with a single course
Skills that count now - and toward your degree
Every Nexford course is designed to deliver more than academic credit – it delivers practical skills you can put to work right away. From business to technology, each course is built with real-world application in mind, helping you grow your career from day one. And because every course also carries degree credit, you’ll keep your options open: whether you stop at one course or continue all the way to a full degree, nothing you learn goes to waste.
You will receive a certificate for every course you complete successfully.
Why start with an individual course?
Available courses
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Financial Accounting
Course description:
What you will learn:
Record business transactions accurately using the double-entry system.
Build and analyze financial statements to assess a company's health.
Apply international accounting standards (IFRS) for accurate reporting.
Use key financial ratios to gain insight into a company's profitability.
Course counts towards:
- Associate of Applied Science (AAS)
- BBA with specialization in Entrepreneurship
- Bachelor of Business Administration (BBA)
Managerial Accounting and Cost Analysis
Course description:
What you will learn:
Create budgets and forecasts to guide business planning and manage resources.
Analyze business costs to make smart decisions on pricing and production.
Compare planned budgets with actual results to improve performance.
Use cost data to support internal strategy and make better business decisions.
Course counts towards:
- BBA with specialization in Entrepreneurship
- Career Pathway in Professional Sales
- Bachelor of Business Administration (BBA)
Auditing and Assurance Services
Course description:
What you will learn:
Plan and conduct financial statement audits using international standards.
Assess and respond to business risks - including fraud - by testing internal controls.
Analyze audit evidence to form a professional opinion on financial accuracy.
Write and present formal auditor reports to communicate findings to stakeholders.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Accounting and Financial Reporting
Course description:
What you will learn:
Assess an organization's financial performance and the quality of its reports.
Apply analytical tools to financial data to uncover trends and insights.
Consolidate financial transactions to build accurate statements and reports.
Analyze how different accounting treatments affect financial statements.
Course counts towards:
- Master of Business Administration (MBA)
- MS in Data Analytics (MSDA)
- MBA in Entrepreneurship (MBAE)
- Mini MBA Certificate
- Master of Business Administration in Finance (MBAF)
Introduction to AI
Course description:
What you will learn:
Apply AI to solve real-world challenges in industries like healthcare and finance.
Use AI techniques like machine learning and NLP to analyze complex problems.
Develop AI-driven strategies to optimize business processes and create an advantage.
Evaluate the ethical implications of AI to ensure responsible implementation.,
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
- Career Pathway in Professional Sales
- BBA with specialization in AI
- BBA with specialization in Business Analytics
Foundations of Robotics and IoT
Course description:
What you will learn:
Analyze modern cybersecurity models covering people as well as policy and technology.
Evaluate how legal and regulatory policies impact data security requirements.
Analyze network and data architectures to identify security threats.
Implement layered technical defense strategies using modern security tools.
Course counts towards:
- BBA with specialization in AI
- Bachelor of Business Administration (BBA)
Fundamentals of Cybersecurity
Course description:
What you will learn:
Analyze the evolution of cybersecurity from the information security models of 1991 to the modern dynamic and holistic models.
Evaluate how the legal policy and regulatory landscape impacts organizational data classification and risks as well as access control and other cybersecurity requirements.
Analyze typical organizational information network and data storage as well as transmission and processing architectures both on premises and in the cloud including various technology and policy and people threats from both inside and outside the organization. Examine layered technical defense strategies and various technology tools and controls.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in AI
Data Sciences for Decision Making
Course description:
What you will learn:
Build a strong business case for investing in AI technology.
Develop a financial model to assess the costs and benefits of AI projects.
Use different valuation methods to quantify the financial impact of AI.
Communicate the value of AI to senior leaders to secure project funding.
Course counts towards:
- MBA with specialization in AI
- MS in Data Analytics (MSDA)
- MS in Digital Transformation (MSDT)
- Master of Business Administration (MBA)
- MS in AI and Technology Management (MSAI)
- Master of Business Administration in Finance (MBAF)
Artificial Intelligence
Course description:
What you will learn:
Evaluate AI-related risks.
Develop a risk management framework to identify and assess as well as mitigate AI risks.
Implement controls and safeguards to ensure the responsible and ethical use of AI.
Monitor and report on AI risks to leadership and key stakeholders.
Course counts towards:
- MBA with specialization in AI
- MS in Data Analytics (MSDA)
- Master of Business Administration (MBA)
Robotics and Automation
Course description:
What you will learn:
Apply design thinking to identify opportunities for human-centered AI solutions.
Lead an AI project from idea to deployment as well as managing scope and resources.
Build and manage a cross-functional team of AI and business experts.
Navigate the common challenges of AI implementation like data quality and change management.
Course counts towards:
- MS in Digital Transformation (MSDT)
- Master of Business Administration (MBA)
- MS in AI and Technology Management (MSAI)
Data Analytics
Course description:
What you will learn:
Use data analytics to solve business problems and drive strategic decisions.
Apply statistical methods to analyze data and uncover meaningful insights.
Create compelling charts and dashboards to communicate data findings effectively.
Navigate the ethical considerations of data collection and analysis.
Course counts towards:
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
- Career Pathway in Professional Sales
- Bachelor of Business Administration (BBA)
Machine Learning and Predictive Analytics
Course description:
What you will learn:
Use storytelling techniques to communicate data insights in a clear way.
Use data visualization tools to create compelling data stories.
Tailor your data stories to different audiences for maximum impact.
Measure the impact and effectiveness of your data stories.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in AI
- BBA with specialization in Business Analytics
Data Analysis and Visualization
Course description:
What you will learn:
Use business intelligence (BI) to make informed business decisions.
Use BI tools to collect as well as analyze and visualize data.
Build and manage BI dashboards and reports for stakeholders.
Communicate BI insights clearly to decision-makers.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Business Analytics
Business Analytics
Course description:
What you will learn:
Analyze the relationship between business strategy as well as data and knowledge.
Apply data mining methods to solve real-world business problems.
Build and evaluate models that turn raw data into actionable insights.
Present the results of your data analysis to different audiences.
Course counts towards:
- MS in Data Analytics (MSDA)
Programming in R & Python
Course description:
What you will learn:
Use predictive analytics to forecast future trends and events.
Build and evaluate predictive models for accuracy and performance.
Apply predictive analytics to solve problems like customer churn.
Communicate the results of predictive analytics to stakeholders.
Course counts towards:
- MS in Data Analytics (MSDA)
Data Modeling and Mining
Course description:
What you will learn:
Develop a data governance framework to ensure data quality and security.
Implement data governance policies and procedures across an organization.
Monitor and audit data governance processes to ensure compliance.
Communicate the importance of data governance to stakeholders.
Course counts towards:
- MS in Data Analytics (MSDA)
Applied Machine Learning for Business Analytics
Course description:
What you will learn:
Develop and manage a data warehouse to support business analytics.
Design and implement ETL processes to integrate data from different sources.
Use SQL to query and analyze the data stored in a data warehouse.
Build data models and reports to support better business decisions.
Course counts towards:
- MS in Data Analytics (MSDA)
- MS in AI and Technology Management (MSAI)
Information Visualization & Communication
Course description:
What you will learn:
Master how to explain the importance of data visualization for professionals working with data.
Master how to describe the process of designing and implementing interactive visualizations for data discovery and analysis and presentation.
Master how to utilize case studies and workplace resources to demonstrate effective data visualization and communication.
Master how to assess the strengths and weaknesses of different visual encoding methods and their impact on human perception.
Course counts towards:
- MS in Data Analytics (MSDA)
- MS in AI and Technology Management (MSAI)
Roadmap to Success
Course description:
What you will learn:
Demonstrate the use of MS Office software to create documents as well as spreadsheets and presentations for the business environment.
Identify reliable sources for research as well as synthesize information and cite sources.
Define the basic fundamentals of business. Master how to list your personal strengths and attributes and how they would transfer into your professional leadership/management style.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
- Career Pathway in Professional Sales
International Business and Culture
Course description:
What you will learn:
Describe the business environment within the context of globalization.
Master how to examine how organizations operate from an international business perspective.
Master how to interpret the connection between an organization that operates in both global and domestic environments regarding culture and organizational structure.
Master how to identify the connections between international business and culture.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
The World of Business
Course description:
What you will learn:
Describe the role of business in society as well as the core functions within a business and internal and external forces that affect business activities and productivity.
Define ethics and integrity and social responsibility in the context of business.
Master how to identify the advantages and disadvantages of different forms of business and organizational structure.
Master how to assess the functions and interconnectivity that each functional area performs to meet business objectives in small and medium and multinational enterprises including the large number of small-medium enterprises in emerging economies.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
Introduction to Business Law
Course description:
What you will learn:
Describe sources of international law that affect global business transactions and the most common forms of international business operations.
Master how to apply the legal environment to domestic and international business scenarios.
Master how to identify the importance of integrating legal and ethical practices to create effective business practices and procedures.
Master how to explain the importance of the legal environment in domestic and international business applications.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
Business and Culture in China
Course description:
What you will learn:
Describe the business environment in China including its traditions and society.
Master how to apply knowledge of the complexities of contrasting cultures to navigate complex business challenges across national borders.
Master how to identify the micro and macro forces shaping international business between China and other countries both in supporting and resisting globalization.
Master how to analyze current conditions in China and evaluate present and future opportunities and risks for international business activities.
Course counts towards:
- Bachelor of Business Administration (BBA)
Business and Culture in Sub-Saharan Africa
Course description:
What you will learn:
Describe the business environment within Sub-Saharan Africa including its traditions and systems and society.
Identify the micro and macro forces shaping international business between Sub-Saharan Africa and other regions both in supporting and resisting globalization.
Explain how businesses operate in Sub-Saharan Africa from a stakeholder's perspective of market/non-market and internal/external perspectives.
Analyze current conditions in Sub-Saharan Africa for their influence on present and future business opportunities and risks for international business activities.
Business and Culture in India
Course description:
What you will learn:
Key concepts and apply them to practical industry scenarios.
Develop strategic solutions to common business challenges.
Enhance your professional skills in this subject area.
Communicate your findings effectively to stakeholders.
Business and Culture in Southeast Asia
Course description:
What you will learn:
Describe the business environment within Southeast Asia including its traditions and systems and society.
Master how to identify the micro and macro forces shaping international business between Southeast Asia and other countries both in supporting and resisting globalization.
Master how to explain how businesses operate in Southeast Asia from a stakeholders' perspective of market/non-market and internal/external perspectives.
Master how to analyze current conditions in Southeast Asia for their influence on present and future business opportunities and risks for international business activities.
Principles of Management
Course description:
What you will learn:
Develop a personal philosophy of leadership management and membership in the global workplace through a personal inventory and assessment
Master how to evaluate the importance of team dynamics on organizational effectiveness asn well as productivity and communication within an organization.
Master how to develop a leadership plan to manage remote teams.
Master how to identify the stages of team development and the role of the leader and the follower.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
Business Career Branding for Success
Course description:
What you will learn:
Analyze competitive strengths and gaps using core business tools.
Master how to translate NXU academic and business as well as co-curricular experiences into high-demand marketable and transferable skills needed for career or academic planning.
Master how to integrate information and services from a variety of human and print as well as electronic resources to develop and maintain academic and career plans.
Master how to create a plan to enhance the performance of an existing business.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Organizational Relationships
Course description:
What you will learn:
Define the interrelationships among business and government and society and how these relationships evolve over time.
Master how to identify connections in global business between organizations as well as relationships and the environment.
Master how to describe how organizational politics and power as well as motivation and structure together with communication and human dynamics have an impact on how an organization functions.
Master how to analyze organizational culture from an international perspective.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Applied Leadership
Course description:
What you will learn:
Describe the role that leaders play in the success of the organization.
Master how to identify the differences between a leader and a manager.
Master how to compare and contrast concepts of leadership and management.
Master how to identify current challenges faced by leaders and managers.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Strategy and Organizational Planning
Course description:
What you will learn:
Examine the process of strategic analysis and planningas well as implementation and evaluation.
Master how to identify the different types of strategic planning tools and technique.
Master how to delineate the steps in the strategic planning process and the rationale for developing a strategic plan.
Master how to identify internal and external environmental factors key to effective strategy formulation and the constraints that impact strategy execution.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Statistics for Business Analytics
Course description:
What you will learn:
Identify the fundamental concepts of data/data types as well as variables and exploration.
Master how to prepare a sample of representative data from a population through the application of fundamental sampling principles and techniques.
Master how to analyze various hypothesis-testing scenarios.
Master how to apply probability theory to scenarios.
Course counts towards:
- MS in Data Analytics (MSDA)
Leadership and Organizational Development
Course description:
What you will learn:
Assess individual and group behavior in organizations and the influence on culture as well as motivation and performance.
Apply various leadership styles and conflict management strategies as well as change models to organizational situations.
Recommend appropriate organizational development interventions based on diagnostic evaluation of organizational issues.
Analyze organizational diagnostic approaches to determine opportunities for improvement and change.
Course counts towards:
- Master of Business Administration (MBA)
- Mini MBA Certificate
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
Global Business
Course description:
What you will learn:
Analyze the role and interrelationships that culture and politics as well as economics and law and technology play within the context of a boundaryless environment and across multiple regions.
Master how to analyze the costs and benefits to home and host nations and government policy instruments used to influence foreign direct investment (FDI).
Master how to analyze the factors that determine currency exchange rates and the implications of change.
Master how to create a market entry strategy for a business operating in a global
local
or hybrid business environment.
Course counts towards:
- Master of Business Administration (MBA)
- Mini MBA Certificate
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
- Master of Business Administration in Finance (MBAF)
Organizational Strategy
Course description:
What you will learn:
Apply appropriate strategic tools to complex business challenges.
Evaluate the strategic tools needed to create and sustain a competitive advantage.
Develop the appropriate management strategy based on the internal/external environment in which the organization operates.
Analyze the domestic and international market to determine how to shift strategy to respond to shifting market conditions.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
Introduction to Intrapreneurship and Innovation
Course description:
What you will learn:
Analyze intrapreneurial strategies to drive innovation and positive change within an existing organizational context.
Assess the feasibility of internal opportunities identified for innovation for an organization.
Solve challenges in awareness and adoption and implementation of intrapreneurial projects.
Create a communication strategy that addresses relevant internal stakeholders for various innovations.
Course counts towards:
- Master of Business Administration (MBA)
- MS in Digital Transformation (MSDT)
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
Corporate Sustainability
Course description:
What you will learn:
Evaluate corporate culture and social responsibility practices.
Examine how corporations that have made sustainability a core tenant of their strategy are making a significant impact on the environment independent of government regulation while driving strong financial results.
Formulate sustainable practices for the global environment that are informed by current issues.
Examine the exciting opportunities that sustainability challenges present for businesses/entrepreneurs and people engaged in this sector.
Course counts towards:
- Master of Business Administration (MBA)
- MS in Digital Transformation (MSDT)
- MS in Data Analytics (MSDA)
The Laws & Ethics of Information Technology
Course description:
What you will learn:
Analyze a selected company to identify the necessity for business change.
Master how to explore alternative approaches for a business that minimizes the impact of business changes on core structures.
Develop strategies to support employees through transitory times.
Master how to create a communication plan to inform key stakeholders about a business plan.
Course counts towards:
- MS in Data Analytics (MSDA)
- MS in AI and Technology Management (MSAI)
Professional Communication
Course description:
What you will learn:
Develop a strategic understanding of professional communication.
Course concepts to real-world business scenarios.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Career Pathway in Professional Sales
American Institutions and Culture
Course description:
What you will learn:
Describe the early history in forming the united states of america and its defining principles as well as values and structure.
Master how to explain how the U.S. evolved as a nation of immigrants and what different nationalities and ethnicities brought to the emerging nation over the course of American history.
Master how to identify current variations of the U.S. family and household.
Master how to examine U.S. labor and management.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Associate of Applied Science (AAS)
Intercultural Communication
Course description:
What you will learn:
Define major concepts and theories of intercultural communication.
Master how to differentiate between various communication processes unique to cultures and identify the barriers to intercultural communication.
Master how to analyze the roles of culture and language as well as power and communication on the development of personal and social and cultural identities throughout one's life.
Master how to analyze one's own cultural identity.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Associate of Applied Science (AAS)
Cultural Aesthetic Understanding
Course description:
What you will learn:
Describe the origins as well as varieties and meanings of the expressions and artifacts of human experience.
Master how to identify the modes of symbolic expression and aesthetic and/or literary conventions used in these expressions and artifacts.
Master how to reflect on one's own and other cultures and interpret or reinterpret artistic works through the development of skills of analysis and criticism.
Master how to explain the cultural and intellectual and historical contexts of expressions and artifact.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Doing Business in India
Course description:
What you will learn:
Analyze the cultural and socio-political canvas of India and its linkages at multiple levels with businesses.
Master how to analyze financial and business logistical nuances in the indian context as well as agents and institutions.
Master how to assess business opportunities within India inclusive of local regulation and available resources as well as infrastructure and culture.
Master how to explain the current business and economic landscape within India that impacts business and industry and workforce.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in International Business
Doing Business in China
Course description:
What you will learn:
Compare the most prominent and fastest growing industries within China to create a rationale for strategic public and private investments.
Master how to evaluate the key challenges and opportunities for doing business in China.
Master how to design a strategy for talent acquisition as well as retention and business development within China.
Master how to analyze the current business and economic landscape within China including the environmental differences that impact business and industry
and workforce.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in International Business
Doing Business in Sub-Saharan Africa
Course description:
What you will learn:
Compare the most prominent and fastest growing industries within Sub-Saharan Africa and to create a rationale for strategic public and private investments.
Master how to evaluate the key challenges and opportunities for doing business in Sub-Saharan Africa
master how to create a proposal to identify
manage
and plan for mitigating business risks unique to Sub-Saharan Africa.
Master how to analyze the current business and economic landscape within Sub-Saharan Africa including the environmental differences that impact business and industry and workforce.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in International Business
Cloud Computing
Course description:
What you will learn:
Apply a best-fit cloud computing architectural option and hosting model to a designated vertical industry.
Master how to develop a robust migration plan from legacy on-premise infrastructure to cloud computing based on technology economics and service introduction evaluation.
Master how to build a cloud computing offering which considers cybersecurity.
Master how to measure the cost reduction and revenue uptake resulting from the adoption of cloud computing architecture.
Digitizing Customer Experiences
Course description:
What you will learn:
Describe organizational functions within a customer facing unit.
Master how to apply emerging digital technologies related to customer experience.
Master how to evaluate the required people capability in developing a digitally-native customer facing organization.
Master how to apply different methods for flexible and dynamic research approaches for customer journey design.
Digitizing Supply Chain Management
Course description:
What you will learn:
Identify the value proposition of agility in supply chain management.
Master how to evaluate advanced digital transformation tools affecting the supply chain management functions.
Master how to measure the cost reduction and revenue uptake result due to digital transformation across the supply chain management functions.
Master how to develop a roadmap for digital transformation for supply chain management.
Digitizing Finance
Course description:
What you will learn:
Evaluate customer acquisition and retention engendered by digitization of financial services across the financial services sector.
Master how to evaluate the suitability of each digital financial service across emerging markets.
Master how to analyze the cost and revenue implications of digital transformation across various financial services; depending on each market maturity phase.
Master how to develop a roadmap for digital transformation in digital financial services appropriate to each market maturity phase.
Digitizing Product Management
Course description:
What you will learn:
Describe the customer journey touchpoints related to product development.
Master how to analyze the market trends and competitive landscape related to the future product roadmap.
Master how to identify key technology skills required for product management including big data analytics as well as mockup frameworks and partner ecosystems' application program interfaces (APIs).
Master how to develop a product portfolio business strategy including go-to-market direction and implementation performance management.
Fundamentals of Digital Transformation
Course description:
What you will learn:
Describe various modern digital strategy roles and the interrelationships of the roles within various organizational structures.
Master how to examine the alignment of the organizational mission and strategy with the digital strategy.
Master how to interpret principles of measuring as well as monitoring and developing a digital strategy based on a continuous and perennially improving analysis of information related threats and vulnerabilities and risks (both positive and negative).
Master how to identify people and tools and process capability digital transformation requirements.
Course counts towards:
- Bachelor of Business Administration (BBA)
Enabling E-commerce and Digital Strategy
Course description:
What you will learn:
Identify key concepts and components of e-commerce across various domains.
Evaluate the effectiveness of e-commerce infrastructure and security measures.
Describe how governments as well as NGOs and businesses leverage the internet for productivity and visibility.
Judge the significance of consumer dynamics and social marketing in the digital age.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Enabling E-Commerce
- MS in Digital Transformation (MSDT)
Policy and Regulatory Enablement of E-commerce
Course description:
What you will learn:
Assess the technological infrastructure required to facilitate e-commerce on national and global scales.
Master how to evaluate who the digital divide may most effect and what long range impacts on developing nations can result in such areas as education and national growth as well as competitiveness and higher value job creation.
Master how to compare and contrast national policies to assess the impact on innovation and competitiveness as well as new legislation and job creation in both developing and developed nations.
Master how to conduct a cost/benefit analysis of the global initiatives of regional governments to assess the benefits of e-commerce and digital capabilities for regional economies.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Enabling E-Commerce
Operations Digital Transformation
Course description:
What you will learn:
Assess digital transformation required capabilities in multiple verticals.
Master how to create a communication framework that mitigates risk within operations digital transformation projects.
Master how to measure the cost reduction and revenue uptake resulting from digital transformation across various verticals.
Master how to examine the utilization of intelligent process automation to drive process automation in the digital world.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Enabling E-Commerce
Principles of Macroeconomics
Course description:
What you will learn:
Explain the interrelationships between core macroeconomic terms and their impact on economies.
Master how to interpret data related to macroeconomic indicators to understand current economic trends.
Master how to analyze the potential effects of government spending on fiscal and monetary policies.
Use basic macroeconomic models to understand how demand and supply are affected within the economy.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Associate of Applied Science (AAS)
Principles of Microeconomics
Course description:
What you will learn:
Articulate key microeconomic concepts like scarcity and supply & demand as well as revenue & cost and profit.
Master how to apply microeconomic principles to real-world scenarios on market outcomes.
Master how to employ graphical tools and economic reasoning to analyze how supply & demand interact to determine equilibrium prices and quantities.
Master how to analyze the potential benefits and drawbacks of government interventions in the market.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Associate of Applied Science (AAS)
Introduction to Entrepreneurship
Course description:
What you will learn:
Identify the benefits and risks of starting a company especially within regional market conditions and opportunities.
Master how to determine viability of a business idea through conducting a competitive analysis.
Master how to evaluate which customer segments are most appropriate at various stages of development.
Master how to identify the role of a minimum viable product within lean startup and assess various techniques for executing effective prototypes.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Product and Marketing Skills for Founders
Course description:
What you will learn:
Determine the value and purpose of running a design sprint and how it can be used as a tool for brainstorming.
Master how to analyze opportunities where marketing and customer outreach prior to product development can be useful.
Master how to evaluate the difference between user experience and user interface design and the role each has in effective product design.
Master how to identify appropriate communication and language for branding and tone designed to help focus an offering from the customers' perspective.
Course counts towards:
- Bachelor of Business Administration (BBA)
Technical Skills for Non-Technical Founders
Course description:
What you will learn:
Recognize the business strengths and weaknesses of a range of common programming languages.
Master how to evaluate the uses and main providers of cloud services and the way they impact digital business models.
Master how to develop a plan that identifies technical business needs and core technical competencies in order to recruit and onboard technical talent.
Master how to distinguish among common categories of databases and how they are leveraged in a startup business setting.
Course counts towards:
- BBA with specialization in Entrepreneurship
- Bachelor of Business Administration (BBA)
Founders, Financing, and Legal
Course description:
What you will learn:
Determine the most critical components to a successful complementary cofounder team.
Identify the elements to successful co-founder collaboration and support.
Differentiate between the various types of financing paths and structures available to an early stage company.
Analyze the value of various legal structures to an early stage company.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
From Idea to Pitch
Course description:
What you will learn:
Identify and recall key concepts related to the entrepreneurial process such as business concepts and venture launch as well as inputs for business success.
Master how to explain the fundamental steps and processes involved in transitioning from a business idea to the successful launch of a new venture.
Master how to apply entrepreneurial concepts and principles to real-world scenarios.
Master how to analyze the various components and factors that contribute to the success of an entrepreneur including identifying potential challenges and opportunities in the entrepreneurial journey.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Startup Strategy and Development
Course description:
What you will learn:
Design a monetization strategy for your startup that aligns with the why and how of the startup.
Master how to develop a financial roadmap for your startup that covers financial and revenue/expense forecasting.
Justify the key metrics you will use to measure success in your startup.
Analyze business decisions for a start-up by providing a cost-benefit analysis.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Legal Topics for Founders: Navigating the Corporate Landscape
Course description:
What you will learn:
Differentiate between various legal entities and understand their implications for business operations.
Master how to apply knowledge of corporate/constitutional documents in the development of legal documents for the new business.
Master how to explain investor rights and terms/jargon and analyze their business impacts - emphasizing right of first refusal (ROFR) and anti-dilution.
Master how to evaluate the National Venture Capital Association (NVCA) standards focusing on subscription/stock purchase agreements and shareholder agreements and and Simple Agreements for Future Equity (SAFEs).
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Fundamentals of Financial Management
Course description:
What you will learn:
Understand core financial management principles.
Analyze financial statements to assess business performance.
Manage working capital to optimize cash flow.
Leverage capital markets for strategic financial decisions.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Corporate Finance and Investment Analysis
Course description:
What you will learn:
Analyze how a company's balance sheet and income statement as well as statement of cash flows relate to each other.
Master how to evaluate simple and complex corporate financial structures and determine the optimal capital structure for a company.
Master how to analyze cash flows from operations and financing and investing.
Master how to calculate a corporation's cost of debt and cost of equity and weighted cost of capital within a given tax environment.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Corporate Tax Strategies
Course description:
What you will learn:
Describe fundamentals of tax law and tax rate structures for various corporate entities.
Master how to differentiate among economic and accounting and tax concepts of income.
Master how to determine current and future tax liabilities by analyzing financial transactions and calculating realized and recognized gains or losses.
Master how to classify deductions and losses and expenses for business and investment activities.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Financial Decision Making
Course description:
What you will learn:
Apply analytical tools and techniques to manage financial data and generate budgets/balance sheets/income statements and statements of cash flow as well as shareholders' equity or retained earnings and other comprehensive income.
Master how to measure financial risks and opportunities for international firms in order to inform decision-making.
Master how to explore the use of debt/equity (IPO
SEO) and alternative (ICO) financing options to raise capital and make investment decisions to increase the firm's value.
master how to determine the effects of corporate financial decisions on financial statements and ratios.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
- Master of Business Administration in Finance (MBAF)
Funding for Startup Founders
Course description:
What you will learn:
Articulate the various funding options available for startups.
Identify potential investors or lenders for a startup business and effectively pitch a business concept to them.
Formulate a cohesive funding strategy for a startup business demonstrating the ability to prepare accurate financial projections.
Master how to deliver a persuasive pitch that demonstrates a clear understanding of the startup's value proposition and funding needs.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Financial Planning and Analysis
Course description:
What you will learn:
Analyze and interpret financial data for effective decision-making.
Master how to formulate strategic financial decisions in alignment with business goals.
Master how to assess investment and financing alternatives to optimize resource allocation.
Integrate diverse information sources for financial forecasting and planning.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Fintech & Blockchain
- Master of Business Administration in Finance (MBAF)
Blockchain for Finance
Course description:
What you will learn:
Explain the origins of blockchain and how blockchain technology works as well as the applications in finance and other industries.
Master how to identify use cases of various types of blockchain networks in the finance industry.
Master how to analyze blockchain technology's short- and long-term impact on the financial sector.
Master how to analyze the implementation of a financial blockchain network.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Fintech & Blockchain
Machine Learning Technology for Finance
Course description:
What you will learn:
Discuss the importance of financial data preprocessing and their impact on model performance.
Master how to apply appropriate machine learning techniques such as supervised and unsupervised and reinforcement learning to real-world financial problems.
Master how to assess the strengths and weaknesses of different machine learning algorithms in financial applications.
Master how to analyze the potential risks and challenges of using machine learning in finance including regulatory compliance and ethical considerations.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Fintech & Blockchain
- MS in AI and Technology Management (MSAI)
The Art of Communication
Course description:
What you will learn:
Examine the importance of the audience in communications.
Master how to analyze a range of corporate genres to determine how meaning is conveyed to a targeted audience.
Master how to integrate writing process knowledge with collaboration across stakeholders to implement leadership and operational communications.
Master how to produce unique and audience-driven organizational communications that leverage specific audience needs and clear appropriate communication styles.
Course counts towards:
- Master of Business Administration (MBA)
- MBA in Entrepreneurship (MBAE)
- MS in Digital Transformation (MSDT)
- MS in Data Analytics (MSDA)
Managing People Resources
Course description:
What you will learn:
Describe the strategic and operational roles of human resource management.
Master how to identify how the functions and roles of human resources are interconnected.
Master how to determine the expectations/motivators and drivers of success of the multigenerational workforce and the impact on HR strategy.
Master how to outline a plan for changes to an HR function or policy in an organization.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
Staffing and Development
Course description:
What you will learn:
Explain the processes and link between job analysis/staffing/total rewards/performance management/training/career development and continuous learning.
Master how to analyze the impact of staffing and training on management decisions and strategies for organizational growth.
Master how to determine the value and effectiveness of HR staffing and training initiatives using measures of efficiency and effectiveness and impact.
Master how to develop a recruitment and onboarding plan for a position at an organization.
Course counts towards:
- Bachelor of Business Administration (BBA)
Compensation & Benefits
Course description:
What you will learn:
Evaluate the different components of an organization's total reward system.
Master how to describe the legal environment which impacts the development of a compensation system.
Master how to create a total rewards plan for an organization.
Master how to explain how an organization collects and compiles data from various sources and the implications of a strategy of internal equity versus external (market) equity.
Course counts towards:
- Bachelor of Business Administration (BBA)
Strategic People Operations
Course description:
What you will learn:
Examine the interrelationship between HR strategy and organizational strategy.
Master how to evaluate the alignment between HR planning and strategic planning.
Master how to assess how organizations manage workforce changes and maintain a competitive advantage through HR strategies.
Master how to examine HR's role as a business partner to foster organizational intrapreneurship and change.
Course counts towards:
- Bachelor of Business Administration (BBA)
Building and Scaling an Organization
Course description:
What you will learn:
Analyze the critical needs of new businesses and identify the roles required to meet those needs.
Create an organizational chart based on the needs of a start-up business.
Identify tools and assessments to increase the efficiency of candidate screening and hiring.
Master how to identify the basics of an effective benefits package for employees.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Internet of Things
Course description:
What you will learn:
Evaluate IoT operating systems architectures and ecosystems.
Master how to apply best practices for IoT ecosystem while considering device management and cybersecurity.
Master how to develop a commercial value proposition utilizing edge analytics in IoT.
Master how to define IoT data services.
Course counts towards:
- Master of Business Administration (MBA)
- MS in Digital Transformation (MSDT)
- MBA with specialization in Cybersecurity
Cybersecurity Leadership
Course description:
What you will learn:
Compare and contrast concepts of cybersecurity leadership and ethical leadership and their roles in the modern organization.
Master how to assess continuously changing threats/vulnerabilities and positive and negative risks for a given business.
Master how to develop a plan for perpetually improving relations with all stakeholders of an organization including company policy and leadership and communications strategies.
Master how to analyze the unique characteristics of and connections between modern digital strategy roles and their roles in cybersecurity governance to better understand the role of security/ compliance audits and remediation.
Course counts towards:
- Master of Business Administration (MBA)
- MS in Digital Transformation (MSDT)
- MBA with specialization in AI
- MBA with specialization in Cybersecurity
- MS in AI and Technology Management (MSAI)
Product Management with Agile and Lean
Course description:
What you will learn:
Assess the role and competencies of a product manager in the organization.
Master how to define the product vision and feature set both at the outset of a project and within individual sprints.
Master how to examine the process of product management within an organization or team using agile XP and scrum.
Master how to develop solutions to the collection of bad data (e.g. poor use of statistics) or the reliance on vanity metrics and KPIs that are improperly defined or applied.
Course counts towards:
- Master of Business Administration (MBA)
- MS in Digital Transformation (MSDT)
- MBA with specialization in Cybersecurity
Marketing Fundamentals
Course description:
What you will learn:
Describe the role of marketing in advancing business and organizational objectives.
Master how to describe the cycle of consumer purchase behavior and the psychology behind decision making utilizing frameworks such as abcd: affects/backdrops/cognitions and demographics.
Master how to compare and contrast key marketing frameworks and the value in promoting various business objectives.
Master how to examine the issues of privacy/ethics/regulation and social responsibility as they relate to marketing functions.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in Digital Marketing
- BBA with specialization in AI
- BBA with specialization in Business Analytics
- Associate of Applied Science (AAS)
Digital Marketing Fundamentals
Course description:
What you will learn:
Identify how digital and technology trends are impacting the future of work and business.
Explain how to drive a customer through the stages of the path to purchase using different digital marketing channels.
Define the strengths/weaknesses/opportunities and threats (SWOT) of each digital marketing channel and their application to a business problem.
Develop a customer journey map with associated personas in the context of a new service or product.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Content Marketing and Social Media
Course description:
What you will learn:
Describe the components of key social media channels and their role in the customer journey.
Master how to analyze and develop a customer profile/demographic analysis in order to craft the appropriate message to reach the appropriate targeted demographic(s).
Master how to develop a social media strategy and playbook that includes paid/earned and owned media.
Master how to design campaigns that incorporate social media within customer relationship management (CRM).
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Career Pathway in Professional Sales
Branding and Creative Direction
Course description:
What you will learn:
Explain the definition of brand and its effects on consumers/shareholders/employees and third parties.
Master how to define the steps in creating a brand personality including identifying differentiators/initiating ideas via brainstorming tools and forming a mission and vision statement.
Master how to analyze the importance and legal means of protecting intellectual property and trademark rights on a regional/national and global scale.
Master how to evaluate how to measure campaign success and adapt and scale branding campaigns appropriately.
Marketing Strategy and Planning
Course description:
What you will learn:
Identify the components of a current state assessment for a product/service or experience offering including positioning/competitors and industry factors and trends.
Master how to analyze how various components of pricing strategy (e.g. profit margin/break-even/discounting/elasticity) work together to impact a marketing strategy.
Master how to develop channel and communication plans for broadly and narrowly defined target audiences.
Master how to define relevant marketing goals and select appropriate KPIs.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Digital Marketing
Marketing Channels, Tactics and Management
Course description:
What you will learn:
Distinguish between business-to-consumer and business-to-business marketing channels.
Master how to differentiate between above the line
below the line
and through the line marketing channels and the relative value and function of each.
Master how to evaluate the benefits and costs of various opportunities for sponsorship
product placement
and endorsements and propose effective ways to use these strategies for a variety of brands.
Master how to examine legal and ethical issues such as privacy
data usage
and regulatory laws and how they impact marketing strategy.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Digital Marketing
Digital Advertising and Search Engine Optimization
Course description:
What you will learn:
Describe the importance of data and a data-driven marketing strategy in a customer-oriented organization.
Master how to develop an organic search marketing strategy to bring high-quality traffic to a website.
Master how to design.
Set up and optimize ad campaigns across platforms.
Master how to analyze the role and use of different performance marketing channels in a marketing mix.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Digital Marketing
- BBA with specialization in Entrepreneurship
Digital Marketing Analytics
Course description:
What you will learn:
Describe the operational benefits of digital analytics and a data-driven organization.
Evaluate different attribution models for their strengths and weaknesses.
Analyze data sets and provide actionable recommendations.
Identify key metrics used for the measurement and analysis of digital marketing activity.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Digital Marketing
Marketing Strategy
Course description:
What you will learn:
Valuate the importance of customer insights and consumer behavior on marketing strategy and successful brand development.
Examine the role that messaging has in connecting with customers and how targeted communication is critical in today's marketplace.
Master how to compare and contrast a local-only marketing strategy with a global approach.
Master how to examine the role of transformative technologies that impact global marketing strategy.
Course counts towards:
- Master of Business Administration (MBA)
- MBA in Entrepreneurship (MBAE)
- Mini MBA Certificate
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
- MS in AI and Technology Management (MSAI)
Product Go-to-Market
Course description:
What you will learn:
Analyze market needs using relevant market research techniques.
Relate customer segmentation to its role in effective product launch strategies for successful market entry.
Perform market sizing to understand potential opportunities and risks.
Master how to apply product positioning strategies that differentiate the product in the market.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Nutrition and Wellness
Course description:
What you will learn:
Identify the nutrients needed by humans for healthy living.
Master how to examine the dietary sources of nutrients and their benefits to the metabolism.
Master how to create a personal physical fitness plan and self-responsibility checklist.
Master how to develop strategies to minimize adverse effects on nutrition and wellness.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
- Associate of Applied Science (AAS)
Technology & Operations Management
Course description:
What you will learn:
Assess the technology architecture and infrastructure capabilities depending on various operating models.
Master how to evaluate how technology-savvy human capital drives technology adoption in operations management.
Master how to assess the value proposition of integration technology across operating functions including cost reduction and revenue generation.
Master how to create a value-based operational strategy.
Course counts towards:
- MS in Digital Transformation (MSDT)
- Master of Business Administration (MBA)
- MBA with specialization in Fintech & Blockchain
- MBA with specialization in AI
- MBA with specialization in Sustainability
- MBA with specialization in Enabling E-Commerce
- MBA with specialization in International Business
- MBA with specialization in Cybersecurity
- MS in AI and Technology Management (MSAI)
- Master of Business Administration in Finance (MBAF)
Problem Solving & Critical Thinking
Course description:
Problem Solving and Critical Thinking considers how most successful professionals of the 21st century will be able to assess an environment, analyze a situation, design alternative solutions, and assist organizations in creatively overcoming challenges and reaching strategic goals.
This course focuses on the development of reasoning and problem-solving skills by using the scientific method to analyze case studies and controversial topics. Learners consider cultural differences in reasoning, inductive and deductive logic, and how to use positive inquiry and synthesis to solve individual and organizational problems. Emphasis is placed on successful models and proven methods that are transferable within the work environment.
What you will learn:
Explain the central elements of problem solving and decision making.
Master how to develop a strategic approach to individual growth and development and organizational performance.
Master how to identify the human factors that impact the results in problem solving and decision making processes.
Master how to apply problem solving and decision making processes and methods to real-world situations.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Introduction to Agile Product Management
Course description:
What you will learn:
Identify the role of a product manager within the overall organization.
Master how to describe the techniques that product managers use to effectively lead a team.
Master how to determine feature prioritization and how to organize a team.
Master how to identify how to react to unexpected change and guide the team.
Software Skills for Digital Product Managers
Course description:
What you will learn:
Identify basic programming skills and concepts.
Master how to apply knowledge of databases and SQL to answer basic business questions.
Master how to describe basic web
mobile
and cloud technology stacks.
Master how to analyze the role of technical debt and how it impacts feature prioritization and feature build times.
Product Design Skills for Product Managers
Course description:
What you will learn:
Differentiate between the user experience (UX) and the user interface (UI).
master how to conduct a user interview and pinpoint issues.
Master how to describe a user persona and how to create one.
Master how to analyze the purpose of wireframes and how visual ideas impact form and function.
Agile Leadership
Course description:
What you will learn:
Identify logical fallacies used in the workplace and how to use appropriate communication techniques to influence others.
Utilize communication skills to share information effectively.
Demonstrate conflict resolution techniques.
Identify trends and areas requiring attention based on KPI data.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Achieving Product-Market Fit
Course description:
What you will learn:
Identify customer problems using lean and agile product strategy approaches.
Master how to apply design processes to validate product ideas and ensure product-market fit.
Master how to refine product ideas to align with the needs and expectations of the target customer.
Master how to implement a vision for a product that is poised for long-term success in the market.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
Executing a Vision: Product Design & Development for Entrepreneurs
Course description:
What you will learn:
Apply the principles of design thinking to bridge the gap between abstract ideas and sellable products.
Master how to analyze a case study on user-generated idea generation for idea validation.
Master how to create and utilize personas and story maps as part of the design thinking process to enhance user experience.
Master how to develop prototypes as a tangible representation of ideas.
Course counts towards:
- MBA in Entrepreneurship (MBAE)
- MS in AI and Technology Management (MSAI)
Project Management
Course description:
What you will learn:
Differentiate between the user experience (UX) and the user interface (UI).
Master how to conduct a user interview and pinpoint issues.
Master how to describe a user persona
why we need them
and how to create one.
Master how to analyze the purpose of wireframes and how visual ideas impact form and function.
Course counts towards:
- Bachelor of Business Administration (BBA)
Science of Happiness
Course description:
What you will learn:
Identify key theories of positive psychology.
Master how to analyze strategies for leading change in cross-culturally complex situations.
Master how to create a plan outlining strategy that will make the workplace or home environment happier.
Master how to reflect on the importance of setting goals and taking accountability for living a happier life.
Course counts towards:
- Associate of Applied Science (AAS)
- Bachelor of Business Administration (BBA)
Environmental Science
Course description:
What you will learn:
Identify sources and examples of environmental agents.
Master how to employ the processes of risk management and risk assessment to evaluate environmental risks.
Master how to identify emerging environmental health issues and formulate possible solutions.
Master how to identify specific practical measures one can apply at an individual and organizational level to become more environmentally responsible.
Course counts towards:
- Bachelor of Business Administration (BBA)
Introduction to Supply Chain Management
Course description:
What you will learn:
Determine the differences between a traditional versus a non-traditional supply chain.
Master how to describe the value proposition of agility in the supply chain.
Master how to identify the importance of the advanced digital transformation tools affecting the supply chain management function.
Master how to develop a digital transformation roadmap for supply chain based on the organization's value proposition.
Course counts towards:
- Bachelor of Business Administration (BBA)
- BBA with specialization in Entrepreneurship
- BBA with specialization in AI
- BBA with specialization in Digital Marketing
- BBA with specialization in Business Analytics
Impact of E-commerce on the Supply Chain
Course description:
What you will learn:
Evaluate best practices for e-commerce facilitation.
Master how to examine supply chain practices and principles connected to e-commerce.
Master how to determine the skills and competencies required by the professional workforce participating in e-commerce activities.
Master how to analyze the principles and practices of e-commerce management as they relate to the supply chain.
Integrated Supply Chain Management and Sustainable Operations
Course description:
What you will learn:
Analyze sustainable operations within an integrated supply chain process.
Master how to describe the triple bottom line as it relates to the supply chain.
Master how to examine effective managerial approaches to the integrated supply chain process and the triple bottom line.
Master how to evaluate the implications of operational decisions that support the global long-term sustainability of the organization.
Statistics
Course description:
What you will learn:
Apply the fundamental logic of hypothesis testing used to interpret data.
Master how to identify various sampling methods used in scientific research.
Master how to explain positive and negative and skewed correlations.
Master how to formulate graphs and charts from statistical data.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
Food and Agribusiness
Course description:
What you will learn:
Examine the root causes of current food and agribusiness issues with specific focus on how these issues will impact our societies and environment in the future.
Master how to apply appropriate quantitative and analytical techniques to create a proposal tailored to the target audience.
Master how to apply knowledge of food and agribusiness practices through the evaluation of market opportunities to develop an agribusiness plan.
Master how to evaluate quantitative and analytical techniques appropriate for assessing emerging food and agribusiness challenges and technologies.
Course counts towards:
- MBA with specialization in Sustainability
- Master of Business Administration (MBA)
Renewable Energy
Course description:
What you will learn:
Examine the terminology and concepts and technical and economic components of viable and emerging renewable energy technologies including energy avoidance practices.
Master how to apply appropriate interdisciplinary collaborations to optimize economic and technical applications of renewable energy for a given business use or purpose.
Master how to develop a renewable energy strategy which aligns with corporate social responsibility policies.
Master how to evaluate renewable/avoidant energy options within the entire business value continuum from product and service innovation to consumer use.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Sustainability
Managing Healthcare
Course description:
What you will learn:
Examine a health organization's ability to offer technology-based solutions to inform a plan for community-based wellness using analytical techniques and mind mapping.
Master how to forecast the influence of reimbursement and payment systems when assessing alternatives for performance improvement.
Master how to evaluate the value of leadership coaching to healthcare and for its impact on the performance and retention of high-quality talent.
Master how to develop a plan for addressing future health and wellness programs that recognize ethnic and cultural differences and challenges with current and future technology initiatives and healthcare occupational shortages.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Sustainability
Introduction to Spreadsheets and Modeling
Course description:
What you will learn:
Identify and compare popular spreadsheet applications including customization options.
Master how to employ effective techniques for accurate and clear data entry and formatting including cell referencing and data validation.
Master how to apply basic mathematical and logical functions to both perform calculations and automate decision-making.
Master how to create compelling charts and graphs to visually represent and communicate your data analysis.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Associate of Applied Science (AAS)
- Career Pathway in Operations Management
- Career Pathway in Professional Sales
Decoding the Digital Consumer
Course description:
What you will learn:
Explain the fundamental concepts of consumer psychology and their relevance to sales/marketing and product design.
Analyze the impact of technology on consumer behaviour and the role of mobile devices in the purchase journey.
Apply persuasion techniques and principles of influence to craft compelling sales messages and presentations.
Evaluate how choice architecture and framing effects and heuristics impact consumer decision-making in tech-enabled sales environments.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Career Pathway in Professional Sales
Professional Selling and Relationship Management
Course description:
What you will learn:
Identify customer buying behaviors and decision-making processes.
Apply prospecting techniques to generate leads and qualify customers.
Develop effective sales pitches tailored to customer needs.
Implement strategies for building rapport and trust with clients.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Career Pathway in Professional Sales
Digital Selling and E-commerce Strategies
Course description:
What you will learn:
Describe various modern digital strategy roles and the interrelationships of the roles within various organizational structures.
Master how to examine the alignment of the organizational mission and strategy with the digital strategy.
Master how to interpret principles of measuring and developing a digital strategy based on a continuous and perennially improving analysis of information related threats and risks (both positive and negative).
Master how to identify people and tools and process capability digital transformation requirements.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Career Pathway in Professional Sales
Process & Quality Management
Course description:
What you will learn:
Explain the fundamental concepts of business process improvement including key methodologies and tools for process analysis and optimization.
Master how to apply techniques to define project scope and collect and analyze process data and interpret key performance indicators (KPIs) to identify areas for improvement.
Master how to analyze business processes to identify root causes of problems and evaluate potential solutions to improve efficiency and effectiveness.
Master how to develop control plans to monitor process performance and manage change effectively.
Course counts towards:
- Bachelor of Business Administration (BBA)
- Career Pathway in Operations Management
Strategic Healthcare Management and Innovation
Course description:
What you will learn:
Develop strategic plans that navigate the complex regulatory and ethical landscape of healthcare.
Leverage emerging technologies like AI and telehealth to drive organizational growth and improve patient care.
Conduct competitive analysis to build and sustain a market advantage in the healthcare industry.
Lead change initiatives and build effective teams to create sustainable healthcare operations.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Healthcare Management
Healthcare Finance and Reimbursement
Course description:
What you will learn:
Navigate complex reimbursement models from Medicare
Medicaid
and private insurers.
Create and manage budgets to ensure departmental and organizational financial health.
Negotiate favorable contracts with payers and vendors to improve the bottom line.
Use financial analysis to assess the performance of a healthcare organization and model scenarios for strategic growth.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Healthcare Management
Digital Transformation and Health Informatics
Course description:
What you will learn:
Leverage electronic health records (EHRs) and data analytics to optimize healthcare delivery.
Implement and manage successful telehealth programs while navigating the complex legal and ethical landscape.
Use AI and health informatics to design innovative solutions that improve patient care and operational efficiency.
Analyze the strategic impact of emerging technologies like robotics and automation on the future of healthcare.
Course counts towards:
- Master of Business Administration (MBA)
- MBA with specialization in Healthcare Management
- MS in AI and Technology Management (MSAI)
Macroeconomics and Financial Markets
Course description:
This course provides a comprehensive understanding of the interplay between macroeconomic forces and financial markets. Students will learn how to apply economic theory to analyze the functioning of financial markets, assess the impact of government policies, and understand key macroeconomic indicators. The course delves into the determinants of national income, employment, investment, interest rates, money supply, inflation, and exchange rates.
What you will learn:
Use macroeconomic indicators to forecast market trends and economic performance.
Analyze the impact of monetary policy and interest rate changes on financial markets.
Model how financial markets react to policy changes and global economic events.
Evaluate global capital flows and exchange rates to inform international financial strategy.
Course counts towards:
- Master of Business Administration in Finance (MBAF)
FinTech and Financial Innovation
Course description:
This course provides a comprehensive exploration of the rapidly evolving landscape of financial technology (Fintech) and its transformative impact on the financial services industry. Learners will delve into the core technologies driving Fintech innovation, including artificial intelligence (AI), machine learning (ML), distributed ledger technology (DLT), cryptography, digital identity solutions, SaaS platforms, chatbots, robotic process automation (RPA), and augmented reality (AR). The course examines how these technologies are reshaping traditional financial services verticals such as payments, deposits and retail banking, lending, capital raising, wealth management, insurance, financial infrastructure, and regulation. Learners will analyze real-world case studies, evaluate emerging business models, and assess the challenges and opportunities presented by Fintech disruption. The course emphasizes the strategic implications of Fintech for both established financial institutions and disruptive startups, preparing learners to lead and innovate in the finance of tomorrow.
What you will learn:
Analyze how technologies like AI and blockchain are disrupting the financial industry.
Apply Fintech solutions to innovate in core financial services like payments
lending
and wealth management.
Evaluate emerging business models and the strategic challenges of Fintech for both startups and established firms.
Assess the societal and ethical impact of Fintech on financial inclusion
consumer protection
and regulation.
Course counts towards:
- Master of Business Administration in Finance (MBAF)
Investment Analysis and Portfolio Management
Course description:
What you will learn:
Use fundamental and technical analysis to evaluate securities and identify investment opportunities.
Construct and manage diversified investment portfolios tailored to specific financial goals and risk tolerance.
Apply modern portfolio theory to optimize asset allocation and manage investment risk.
Evaluate portfolio performance and analyze alternative investments to enhance returns.
Course counts towards:
- Master of Business Administration in Finance (MBAF)
ESG Reporting and Sustainable Finance
Course description:
This course provides a comprehensive understanding of Environmental, Social, and Governance (ESG) factors and their growing importance in the financial industry. You will analyze corporate sustainability reports, identify material ESG issues relevant to different industries, evaluate the methodologies used by ESG rating agencies, and integrate ESG considerations into traditional financial analysis and valuation. The course will equip you with the skills to make informed ESG-integrated investment decisions and understand the evolving landscape of sustainable finance.
What you will learn:
Analyze corporate sustainability reports and identify material ESG issues.,Evaluate the methodologies of ESG rating agencies to inform investment decisions.
Integrate ESG factors into financial analysis and company valuation.
Construct and justify ESG-integrated investment portfolios.
Course counts towards:
- Master of Business Administration in Finance (MBAF)
Ethical Leadership in Finance
Course description:
What you will learn:
Apply ethical frameworks to navigate complex financial decisions.
Balance fiduciary duty to shareholders with the interests of all stakeholders.
Resolve conflicts of interest and common ethical dilemmas in the finance industry.
Foster a culture of integrity and promote ethical leadership within financial organizations.
Course counts towards:
- Master of Business Administration in Finance (MBAF)
Corporate Finance
Course description:
What you will learn:
Analyze financial statements to assess a company's performance and financial health
Determine a company's optimal capital structure by evaluating the trade-offs between debt and equity
Apply sophisticated valuation models to accurately assess the value of companies and assets
Develop fundraising and risk management strategies to support corporate goals and mitigate financial risk
Course counts towards:
- Master of Business Administration in Finance (MBAF)
AI Strategy for Business Transformation
Course description:
This course provides a comprehensive and strategic perspective on the Artificial Intelligence (AI) landscape, tailored specifically for managers seeking to drive business transformation. Learners will explore the diverse facets of AI technologies, ranging from foundational pattern analysis and predictive analytics to advanced neural networks and emerging large language models (LLMs). The course emphasizes the transition from technical understanding to tangible business value, guiding students in formulating robust strategies for adoption, initiative prioritization, and resource allocation.
A critical component of the curriculum is the focus on responsible innovation; students will learn to design governance frameworks to address the ethical implications and regulatory considerations inherent in AI development and deployment. Through the evaluation of strategic applications across the value chain, learners will develop the essential skills to lead cross-functional initiatives, communicate complex technical concepts to diverse stakeholders, and manage the successful implementation of AI solutions to ensure measurable organizational impact.
What you will learn:
Evaluate the diverse facets of the AI landscape
from machine learning to generative AI
to create tangible business value and drive organizational outcomes
Assess the critical ethical implications and regulatory considerations inherent in responsible AI development and deployment
Formulate comprehensive strategies to manage AI adoption and implementation across the entire value chain
Lead cross-functional initiatives to strategically apply AI solutions that ensure measurable impact and responsible innovation.
Course counts towards:
- MS in AI and Technology Management (MSAI)
Leading AI-Driven Transformation
Course description:
This course offers a comprehensive strategic framework for leading operational transformation through the power of Artificial Intelligence. Learners will dive deep into how AI reshapes the entire operational landscape, from customer-facing functions and product management to core business processes and administrative support. The curriculum emphasizes the critical alignment of people, processes, and technology, guiding students in designing AI-augmented workflows, implementing intelligent automation, and leveraging low-code/no-code solutions to drive efficiency.
Beyond the technology, the course focuses on the managerial imperatives of transformation. Students will explore how to integrate AI with enabling technologies like cloud computing and IoT, while developing robust data strategies to support these initiatives. Key modules cover the essential skills of change management, helping leaders navigate the cultural shifts required for AI adoption. Learners will conclude by constructing agile transformation roadmaps and building data-driven business cases that quantify value, mitigate risk, and ensure ethical standards in AI-driven automation are met.
What you will learn:
Explore how AI reshapes customer-facing functions
product management
and core business processes across various industry verticals
Determine the critical people
process
and technology capabilities required to design AI-augmented workflows and implement intelligent automation
Develop robust data strategies and agile transformation roadmaps to integrate AI with enabling technologies like cloud and IoT
Master the change management and risk mitigation strategies needed to build compelling business cases for responsible AI adoption.
Course counts towards:
- MS in AI and Technology Management (MSAI)
Tech Enabled Product Management
Course description:
This course provides a comprehensive framework for product management in the era of Artificial Intelligence and large-scale Digital Transformation. Learners will bridge the gap between foundational product principles and complex, technology-driven execution, adapting Agile and Lean methodologies specifically for AI-powered development. The curriculum emphasizes a user-centric approach, guiding students through Design Thinking to create transformative solutions and utilizing low-code/no-code platforms for rapid prototyping and validation.
Beyond development mechanics, the course focuses on the strategic application of AI for decision-making. Students will learn to formulate data-driven strategies using AI-powered analytics and construct outcome-based roadmaps. Key modules also address the leadership challenges of managing product teams through organizational change and navigating the ethical implications of data and AI, ensuring learners are prepared to manage the entire product lifecycle responsibly and effectively.
What you will learn:
Master foundational product management principles to align strategies with large-scale digital transformation objectives
Apply Agile
Lean
and user-centric design methodologies to create transformative AI-powered solutions
Leverage low-code platforms and AI-driven analytics to accelerate prototyping and validate data-driven decisions
Lead product teams through significant organizational change while managing the ethical implications of the entire product lifecycle.
Course counts towards:
- MS in AI and Technology Management (MSAI)
Intelligent Process Automation
Course description:
What you will learn:
Analyze modern cybersecurity models covering people as well as policy and technology.
Evaluate how legal and regulatory policies impact data security requirements.
Analyze network and data architectures to identify security threats.
Implement layered technical defense strategies using modern security tools.
AI Innovator's Roadmap
Course description:
This course is the launchpad for an undergraduate degree built for the AI-shaped economy. It gives learners a strategic overview of the artificial intelligence landscape — defining the core terminology, tracing how the field evolved, and establishing why hybrid skillsets carry real business value. Rather than treating AI as a purely technical subject, the course centers the role of the AI Translator: the person who can sit in a strategy meeting and a Python notebook in the same afternoon, and who knows the difference between a technical problem domain and a strategic one. Learners build the vocabulary and judgment to frame an AI problem correctly before a single line of code is written.
Beyond the landscape, the course tackles the questions that decide whether an AI deployment succeeds or backfires. Learners examine the fundamental ethical dilemmas and governance frameworks that shape data usage and responsible deployment, developing the kind of decision-making employers expect from anyone directing AI work. The course also includes the essential scaffolding for academic success — strategies for managing time, resources, and self-directed learning across the program — and closes with a personal career roadmap that aligns individual competencies with target roles in the applied AI field. By the end, learners leave with both the foundation and the direction to move through the rest of the degree with intent.
What you will learn:
Map the AI landscape with confidence — core terminology
how the field evolved
and where real business value gets created
Identify the high-value hybrid roles defining the modern workplace and pinpoint what makes an AI Translator valuable
Distinguish technical problem domains from strategic ones so you frame AI problems correctly before any work begins
Evaluate the ethical dilemmas and governance frameworks behind responsible data usage and AI deployment
Build the self-directed learning habits that carry you through a flexible degree
Outline a personal career roadmap that aligns your competencies with target roles in applied AI.
Course counts towards:
- Bachelor of Science in AI for Business
Cloud Computing for AI & Business
Course description:
This course provides a conceptual and applied understanding of the cloud computing services, architecture, and deployment models that power modern business and AI solutions. Learners start with the building blocks — core cloud architecture and the difference between IaaS, PaaS, and SaaS — then move quickly into the decisions that matter: how to read the non-functional requirements behind a business need, and how to evaluate a cloud solution against security, privacy, compliance, and data governance realities. Rather than memorizing one vendor's product menu, learners develop transferable judgment for assessing cloud-based options on their merits, building the kind of strategic literacy that holds up regardless of which platform an employer runs on.
From there, the course turns hands-on and outcome-focused. Learners practice accessing and applying cloud-based cognitive services and pre-trained AI models to solve straightforward problems, then learn to formulate a basic business case — cost justification included — for migrating a legacy application or service to the cloud. The course closes on the skill that often separates a technical contributor from a strategic one: communicating the technical and business benefits of cloud adoption clearly to management and stakeholders. By the end, learners can connect cloud capability to business value and defend that connection in front of the people who sign off on it.
What you will learn:
Analyze core cloud architecture
deployment models
and service types (IaaS
PaaS
SaaS) and know when each one fits
Assess the security
privacy
and compliance implications of storing and processing data in the cloud
Apply cloud-based cognitive services and pre-trained AI models to solve real problems
Formulate a cost-justified business case for migrating a legacy application or service to the cloud
Communicate the technical and strategic benefits of cloud adoption to management and business stakeholders — in language they act on.
Course counts towards:
- Bachelor of Science in AI for Business
Digital Solutions Architecture
Course description:
This course teaches the conceptual and architectural thinking required to design and integrate complex digital solutions for modern business problems. Learners begin where every sound system starts — with the problem itself — mastering techniques for framing business challenges and gathering requirements before reaching for a solution. From there, the course moves into the core craft of architecture: selecting appropriate infrastructure across cloud, API, and platform options, choosing data architectures that fit the need, and designing conceptual solutions that pull multiple services, data sources, and external platforms into one cohesive functional model. Throughout, the emphasis is on bridging strategic business goals with technical feasibility, so design decisions are defensible on both fronts.
The second half turns architecture into something actionable and communicable. Learners evaluate architectural patterns, tools, and platforms against non-functional requirements such as cost, security, and scalability, then model the flow of data and logic using standardized documentation and diagramming techniques. They practice translating a conceptual design into technical requirements and user stories that an implementation team can actually build from, and close on the skill that defines a strong solutions architect: communicating the rationale and risk assessment behind a proposed architecture to technical and executive stakeholders alike. By the end, learners can carry a digital solution from a vague business problem all the way to a clear, justified design — and bring decision-makers along with them.
What you will learn:
Analyze a business problem to determine the right system architecture for a digital solution
Design conceptual solutions that integrate multiple services
data sources
and external platforms into one cohesive model
Evaluate architectural patterns
tools
and platforms against non-functional requirements like cost
security
and scalability
Model the flow of data and logic using standardized documentation and diagramming techniques
Formulate technical requirements and user stories that turn a concept into an actionable build plan
Communicate the rationale and risk assessment of a proposed architecture to both technical and executive stakeholders.
Course counts towards:
- Bachelor of Science in AI for Business
Low-Code Development
Course description:
This course is a practical guide to rapidly building and deploying functional digital applications using low-code tools. It picks up where architectural design leaves off, assuming that foundation and shifting the focus entirely to hands-on implementation. Learners set up their platform and start building immediately — designing usable, accessible user interfaces and experiences, implementing core application features, and constructing the business logic and multi-step workflows that turn a static screen into a working tool. The emphasis throughout is on doing the work: every concept lands as something the learner builds, not something they read about.
From there, the course covers what real-world delivery actually demands. Learners execute API calls and integration routines to connect their applications to external data sources and services, then test functionality against defined business requirements and quality assurance standards. They develop the troubleshooting instincts that separate a finished build from a fragile one — diagnosing API connection errors, data flow problems, and runtime performance issues — before deploying a finalized application and generating the documentation needed for user enablement and ongoing maintenance. By the end, learners have moved a complete application from setup to deployment, with the practical fluency to do it again on the job.
What you will learn:
Implement core application features
business logic
and multi-step workflows on a low-code development platform
Execute API calls and integration routines to connect your application with external data sources and services
Design usable
accessible UI and UX within the real constraints of low-code tools
Test application functionality against defined business requirements and quality assurance standards
Troubleshoot common API connection errors
data flow issues
and runtime performance problems
Deploy a finished application and generate the documentation that enables users and supports maintenance.
Course counts towards:
- Bachelor of Science in AI for Business
Data Storytelling & Visualization
Course description:
This course is a practical guide to transforming complex data analysis into clear, actionable business communication. It moves beyond generating charts to the harder, higher-value skill: data storytelling — building a compelling narrative arc around analytical insights so they actually change what an organization does. Learners start with the questions most analysts skip, defining the audience, the business context, and the objective of a data-driven narrative before a single visualization is built. From there, they evaluate visualization types and tools against the structure of the data and the specific communication goal, and learn to design visuals that represent complex insights accurately and effectively for non-technical stakeholders — clarity and integrity treated as equal priorities.
The second half is where analysis becomes influence. Learners formulate narrative structures that frame their findings and lead to a clear, actionable conclusion, and develop a critical eye for the ways visualizations can mislead — whether by accident or design — so they can defend the integrity of their own work and challenge weak data when they see it. The course closes on delivery: communicating persuasive, data-driven recommendations through both oral and written presentations. By the end, learners can carry an insight from raw analysis all the way to a decision, with the storytelling skill to make sure it lands.
What you will learn:
Analyze your audience and business context to define the objective and scope of a data-driven narrative
Evaluate visualization types and tools based on data structure and your specific communication goal
Design visualizations that represent complex insights accurately and effectively for non-technical stakeholders
Formulate a clear
compelling narrative structure that frames the analysis and leads to actionable insights
Critique visualizations and presentations for clarity
integrity
and potential to mislead
Communicate persuasive data-driven recommendations through both oral and written presentations.
Course counts towards:
- Bachelor of Science in AI for Business
Programming Fundamentals for Business
Course description:
This foundational course introduces the core concepts of programming, data structuring, and automation that underpin informed business decision-making — built for people who need to work with data, not necessarily become engineers. Learners start with the fundamental logic and syntax shared across common programming languages, then build practical proficiency in the two tools that do the most work in a modern business context: SQL for retrieving and filtering data from relational databases, and Python for cleaning, manipulating, and analyzing it. Along the way, they learn to differentiate the data structures and types used to store and analyze business information, so the skills connect to real decisions rather than abstract exercises.
From there, the course extends from writing code to working smarter with it. Learners identify the business processes and workflows best suited for optimization through low-code automation, and apply fundamental security and ethical practices for handling data and writing code responsibly — a non-negotiable in any environment where data carries real weight. The emphasis throughout is hands-on and applied: every concept lands as a query written, a script run, or a process mapped. By the end, learners have the working fluency to retrieve their own data, clean it, analyze it, and automate the repetitive parts — the practical foundation an AI Translator builds everything else on.
What you will learn:
Define the fundamental logic
concepts
and syntax shared across common programming languages
Construct basic SQL queries to retrieve and filter data from relational databases
Write simple Python scripts to perform data cleaning and manipulation tasks
Differentiate the data structures and types used to store and analyze business information
Identify business processes and workflows suitable for optimization with low-code automation tools
Apply fundamental security and ethical practices when handling data and writing code.
Course counts towards:
- Bachelor of Science in AI for Business
Design Thinking & Human-Centered Innovation
Course description:
This course grounds innovation where it belongs — in real human needs and ethical creativity. Fulfilling the program's Humanities requirement, it explores the aesthetic and philosophical dimensions of design and invention, then puts them to practical use through the Design Thinking methodology. Learners work through the full arc — empathy, problem definition, ideation, prototyping, and testing — to develop solutions that are both technically feasible and genuinely centered on the people who'll use them. They begin with empathy and user research to frame authentic human-centered problems, then examine the aesthetic and functional aspects of design that shape how people interact with a product and experience it.
From there, the course builds the creative and critical muscles that separate real innovation from guesswork. Learners use divergent and convergent thinking to generate and sharpen ideas, develop low-fidelity prototypes and test plans to validate feasibility and user acceptance, and evaluate the ethical and societal implications of design choices across diverse user populations — because in a technology-driven world, who a solution serves and who it overlooks is a design decision in itself. The course closes on communication: presenting insights, validated prototypes, and the reasoning behind them to stakeholders. By the end, learners have a repeatable framework for developing products and strategies that hold up to both human and ethical scrutiny.
What you will learn:
Apply empathy and user research to define and frame genuine human-centered problems
Analyze the aesthetic and functional aspects of design that influence user interaction and product experience
Formulate creative solutions using divergent and convergent thinking techniques
Develop low-fidelity prototypes and test plans to validate feasibility and user acceptance
Evaluate the ethical and societal implications of design choices across diverse user populations
Communicate the results of the design process — insights and validated prototypes — clearly to stakeholders.
Course counts towards:
- Bachelor of Science in AI for Business
Physical Science of Artificial Systems
Course description:
This course grounds the study of intelligence in core physical science principles — because every AI model, no matter how abstract it feels, runs on real hardware bound by real physical laws. Learners explore the relationship between the physical limits of computation, the energy demands of processing, and the biological systems that inspired modern machine learning in the first place. They start with the thermodynamics and hard physical limits of computation — how fundamental laws cap processing speed and what that means for system design — then examine how biological neural structures and brain functions became the architectural blueprint for artificial neural networks and deep learning. The result is a scientific lens on AI that most business-focused programs skip entirely.
From there, the course connects physical science to the decisions shaping AI's future. Learners evaluate the energy consumption, heat generation, and sustainability challenges of deploying large-scale models — an increasingly business-critical concern — and survey emerging physical technologies like quantum computing that stand to redefine what's computationally possible. They relate physical system science to the performance and scalability of interconnected intelligent devices (IoT), and close by weighing the physical, safety, and ethical consequences of increasingly autonomous systems operating in the real world. By the end, learners understand not just what AI can do, but the physical realities, costs, and limits that govern what it can do responsibly — context that sharpens every downstream design and strategy decision.
What you will learn:
Analyze the relationship between fundamental physical laws and the theoretical limits of digital computation and processing speed
Explain how biological neural structures and brain functions serve as the architectural inspiration for artificial neural networks and deep learning
Evaluate the energy consumption
heat generation
and sustainability challenges of deploying large-scale AI models
Describe the basic principles of emerging physical technologies
such as quantum computing
poised to redefine computational power
Relate physical system science to the performance and scalability of interconnected intelligent devices (IoT)
Evaluate the physical
safety
and ethical consequences of increasingly autonomous systems operating in real-world environments.
Course counts towards:
- Bachelor of Science in AI for Business
AI in Logistics and Reverse Supply Chain
Course description:
This course provides a data-driven examination of global logistics, focusing on how AI, predictive analytics, and automation optimize transportation networks and strengthen supply chain resilience. Learners begin with the networks themselves — applying predictive models and optimization techniques to global transportation and supply chains — then move into the operational core: using AI and automation to sharpen warehouse management, facility location, and route efficiency. From there, they learn to read modern supply chains the way a resilience-minded operator does, analyzing key risks and vulnerabilities through data-driven metrics and forecasting so disruption can be anticipated rather than absorbed.
The course then turns to the territory traditional logistics training tends to overlook. Learners apply best practices in reverse logistics and waste management to optimize asset recovery and product circularity, and evaluate the data architectures and digital systems that make supply chains visible, traceable, and governed ethically. It closes by zooming out: integrating data-informed logistics strategy and technological solutions into the organization's broader international strategic direction. By the end, learners can connect AI-driven logistics decisions to organizational outcomes — and defend the trade-offs behind them.
What you will learn:
Analyze global transportation and supply chain networks using predictive models and optimization techniques
Apply AI and automation to enhance warehouse management
facility location
and route efficiency
Analyze operational risks and vulnerabilities using data-driven resilience metrics and forecasting
Apply best practices in reverse logistics and waste management to optimize asset recovery and product circularity
Evaluate supply chain data architectures and digital systems for visibility
traceability
and ethical data governance
Integrate data-informed logistics strategy and technology into the organization's international strategic direction.
Course counts towards:
- Bachelor of Science in AI for Business
Digital Supply Chain & Automation Strategy
Course description:
This course explores the strategic digital transformation of modern supply chains, focusing on how automation and AI technologies get planned, implemented, and governed across core functions. Learners start with the "why" — framing agility and resilience as the real value drivers behind transformation, not technology for its own sake — then move into the functional core. They apply predictive analytics and machine learning to demand planning, inventory, and procurement, and deploy Robotic Process Automation (RPA) and intelligent automation to optimize the repetitive, high-volume work in procurement, billing, and order management. Throughout, the focus stays on outcomes: which technologies earn their place, and where.
From there, the course builds the strategic and analytical judgment that separates an adopter from a leader. Learners evaluate the role of blockchain and other digital ledger technologies in strengthening visibility, traceability, and governance, then learn to analyze the cost reduction and return on investment behind automation initiatives — making the financial case as rigorously as the technical one. The course culminates in a comprehensive digital transformation roadmap for an end-to-end supply chain function, with every technology choice justified on value. By the end, learners can plan and defend a real transformation strategy, not just describe the tools.
What you will learn:
Integrate agility and resilience as core drivers of digital transformation across the supply chain
Analyze demand planning
inventory
and procurement using predictive analytics and machine learning
Apply Robotic Process Automation (RPA) and intelligent automation to optimize procurement
billing
and order management
Evaluate the role of blockchain and digital ledger technologies in supply chain visibility
traceability
and governance
Analyze the cost reduction and ROI of automation and digital transformation initiatives
Formulate a strategic digital transformation roadmap for an end-to-end supply chain
justifying technology choices on value.
Course counts towards:
- Bachelor of Science in AI for Business
FinTech and AI in Financial Services
Course description:
This course provides a deep dive into the modern financial services landscape, focusing on FinTech innovation, digital assets, and the strategic application of AI and machine learning. Learners begin by analyzing the structural changes FinTech platforms have triggered in traditional financial services — the new competitive dynamics, the shifting power, the gaps. From there, they get specific about AI itself: evaluating both the efficacy and the real risks of machine learning models in lending, credit scoring, and algorithmic trading, where a model's blind spots carry direct financial and ethical consequences. The result is a clear-eyed view of AI in finance that holds the upside and the danger in the same frame.
The course then broadens into the wider digital finance ecosystem. Learners examine the foundational technology, use cases, and market impact of digital assets, blockchain, and decentralized finance (DeFi), and learn to integrate financial analysis with technological judgment to shape capital allocation and investment strategies. Compliance is treated as core, not afterthought: learners evaluate the regulatory and ethical challenges of data governance and digital asset management before the course culminates in designing an innovation strategy for a financial service or FinTech product — technology stack and market opportunity justified together. By the end, learners can think like both a financier and a technologist, which is exactly what the sector now demands.
What you will learn:
Analyze the structural changes and competitive dynamics FinTech platforms create in traditional financial services
Evaluate the efficacy and risks of AI and machine learning in lending
credit scoring
and algorithmic trading
Describe the technology
use cases
and market impact of digital assets
blockchain
and decentralized finance (DeFi)
Integrate financial analysis with technology to develop capital allocation and investment strategies in digital finance
Evaluate the compliance
regulatory
and ethical challenges of data governance and digital asset management
Design an innovation strategy for a financial service or FinTech product
justifying the technology stack and market opportunity.
Course counts towards:
- Bachelor of Science in AI for Business
Product Design
Course description:
This advanced course focuses on synthesizing human-centered design principles with technical feasibility to create compelling digital products. Learners begin where strong product work begins — pulling together insights from user research, design thinking, and strategic requirements into a coherent product vision and feature set. From there, they move into the craft itself: designing low- and high-fidelity wireframes and functional prototypes for technology solutions, including the increasingly common case of AI-driven user experiences. A dedicated focus on tool selection ensures learners can match design and prototyping tools to the complexity and technical constraints of a given project, rather than defaulting to whatever's familiar.
The second half is about rigor and accountability. Learners analyze user testing data and feedback to iterate their designs and optimize usability, and confront the UX challenges specific to AI systems — how to design for trust, how to build feedback loops that keep a model honest and a user confident. They determine and document the ethical, accessibility, and legal standards a product must meet before deployment, then learn to communicate a final design and its rationale to a leadership audience. By the end, learners can carry a product from strategic vision to a defensible, deployable design — and make the case for it in the room where decisions get made.
What you will learn:
Synthesize user research
design thinking
and strategic requirements into a clear product vision and feature set
Design low- and high-fidelity wireframes and functional prototypes for technology solutions
including AI-driven experiences
Select appropriate design and prototyping tools based on project complexity and technical constraints
Analyze user testing data and feedback to iterate designs and optimize usability
Determine and document the ethical
accessibility
and legal standards required to deploy a new product
Communicate a final product design and the rationale behind your UX choices to a leadership audience.
Course counts towards:
- Bachelor of Science in AI for Business
AI-Powered Customer Experience
Course description:
This course provides a strategic deep dive into designing and optimizing the customer experience (CX) using AI and automation. Learners start by mapping the end-to-end customer journey across omnichannel touchpoints, learning to spot friction and identify where automation creates genuine value rather than noise. From there, they evaluate the AI tools reshaping CX — virtual assistants, sentiment analysis engines, personalization systems — not as a shopping list, but against specific experience goals and strategic fit. The emphasis is on judgment: knowing which tool earns its place against which objective.
The course then moves from evaluation to design and accountability. Learners design intelligent, data-driven interaction flows that proactively predict customer needs and surface churn risk early, and apply sentiment analysis and natural language processing to extract meaningful insight from unstructured customer data. Because personalization and automation raise real stakes, learners integrate ethical standards and data governance directly into deployment rather than bolting them on later. The course culminates in a comprehensive AI-powered CX transformation roadmap, with every technology choice justified on organizational ROI and customer value. By the end, learners can lead a CX strategy that's both genuinely intelligent and genuinely trustworthy.
What you will learn:
Analyze the end-to-end customer journey across omnichannel touchpoints to find friction and automation opportunities
Evaluate the performance and strategic fit of AI-powered tools against specific CX goals
Design intelligent
data-driven interaction flows that proactively predict customer needs and potential churn
Apply sentiment analysis and natural language processing to extract insight from unstructured customer data
Integrate ethical standards and data governance into the deployment of personalized
automated CX systems
Formulate an AI-powered CX transformation roadmap
justifying technology choices on ROI and customer value.
Course counts towards:
- Bachelor of Science in AI for Business
Data Modeling and Database Systems
Course description:
This course provides an advanced understanding of data architecture, modeling, and management in modern business systems. Learners master the principles of relational database design — conceptual and logical data models, normalization, schema design — alongside the query optimization techniques that keep data structures performant in both analytic and operational environments. The grounding is practical: these are the skills that determine whether a system runs smoothly or buckles under load, and learners build them through applied design work rather than abstract theory.
The course then scales up to the realities of modern data. Learners analyze non-relational databases and data lake architectures, evaluating storage technologies against data structure and application needs, and confront the modeling requirements and architectural challenges of scaling data for machine learning and Big Data platforms. Governance runs throughout: learners determine the security, access control, and data governance policies required to manage sensitive information responsibly. The course closes by connecting craft to strategy — integrating data modeling practice with business needs so the architecture serves organizational goals, not just technical ones. By the end, learners can design scalable, secure, business-aligned data architecture that holds up under real analytics and ML workloads.
What you will learn:
Design relational database schemas using conceptual and logical data models
Analyze data storage technologies based on data structure and application requirements
Optimize database queries and data structures for performance in analytic and operational environments
Evaluate the data modeling requirements and architectural challenges of scaling data for machine learning and Big Data platforms
Determine the data governance
security
and access control policies needed to manage sensitive information
Integrate data modeling practice with strategic business needs so architecture aligns with organizational goals.
Course counts towards:
- Bachelor of Science in AI for Business
Governance and Law for Intelligent Systems
Course description:
This course provides an advanced, analytical examination of the legal and policy frameworks governing digital businesses and technology deployment. It moves beyond foundational contracts into the areas where modern technology actually creates exposure: data ownership, intellectual property, and regulatory compliance built around real frameworks like GDPR and CCPA. Learners analyze the legal implications of developing and deploying automated and AI-driven systems in a business context, then dig into the thorny questions of digital intellectual property — including the unsettled territory of rights over software, data, and generative AI content. The orientation is practical and strategic throughout: not law as abstraction, but law as a business risk to be managed.
From there, the course builds the judgment to turn regulation into strategy. Learners interpret global data privacy regulations and governance standards to formulate organizational compliance strategies, and examine the contractual and legal risks that come with cloud services, API usage, and third-party data reliance. A dedicated focus on algorithmic bias and data discrimination pushes learners to formulate governance policies that mitigate genuine legal and ethical risk — not just check a compliance box. Working through real legal case studies and precedents, learners learn to evaluate how law and governance actually apply in the digital economy. By the end, they can build governance and compliance strategies robust enough to stand behind a real technology initiative.
What you will learn:
Analyze the legal implications of developing and deploying automated and AI-driven systems in business
Evaluate digital intellectual property rights across software
data
and generative AI content
Interpret global data privacy regulations and governance standards to formulate compliance strategies
Examine the contractual and legal risks of cloud services
API usage
and third-party data reliance
Formulate governance policies that mitigate legal and ethical risks tied to algorithmic bias and data discrimination
Analyze legal case studies and precedents to evaluate how law and governance apply in the digital economy.
Course counts towards:
- Bachelor of Science in AI for Business
How it works
Admission requirements
The only document you need to enroll in a course is a government issued identification like a passport or a driver's license. Upload your ID and a passport-style photo or “selfie”, pay your course fees and start learning.
What’s it like to learn at Nexford?
Build skills by doing. Every course includes hands-on projects that mirror real workplace challenges like building financial models plans, data dashboards, or marketing strategies. You won’t just learn about it - you’ll practice doing it. And projects are often curated from the world's largest organizations.
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Hear from our alumni and their employers
Thank you so much for the opportunity to be part of Nexford University. My education there significantly helped me advance my career. Additionally, my MBA has been successfully recognized as equivalent in my home country, Indonesia.
As a current MBA student at Nexford University, i like the flexile modality of study especially for full time employees, also the project-based learning approach with updated syllabuses, real case studies with top tech companies like Amazon, Tesla , Toyota, Apple...etc. and affordable at the same time for low middle income countries students.
Frequently Asked Questions
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Meet your future faculty
Meet your future faculty
Learn from faculty who are also experienced business leaders, entrepreneurs, and subject-matter experts. Their real-world experience helps ensure what you’re learning is practical, career-relevant, and aligned with what employers actually need. Join live group sessions or book 1:1 time when you need support.