Nexford programs are flexibly paced—not self-paced. Study when it works for you, and stay on track with weekly deadlines. Live sessions are optional. Expect to be challenged: and plan to invest at least 10 hours per week. That’s what it takes to build real skills that deliver real career value.
Skills you will learn - and add to your résumé
The Master of Science in Digital Transformation prepares you to lead digital change. Gain skills in digital strategy, AI, cybersecurity, and innovation management to drive organizational transformation across industries.
Drive Change Management
Plan and guide change initiatives to support successful digital transformation.
Lead Digital Teams
Build and align cross-functional teams to drive tech-enabled change in organizations.
Transform Operations with Tech
Redesign processes using digital tools to boost efficiency, agility, and innovation.
Apply Cybersecurity Strategy
Assess risk and lead cybersecurity initiatives that protect digital assets.
Drive Innovation Initiatives
Launch transformation projects using agile, intrapreneurial, and data-driven approaches.
Use Data for Decisions
Apply data science tools to inform strategic planning and performance tracking.
Drive Change Management
Plan and guide change initiatives to support successful digital transformation.
Lead Digital Teams
Build and align cross-functional teams to drive tech-enabled change in organizations.
Transform Operations with Tech
Redesign processes using digital tools to boost efficiency, agility, and innovation.
Apply Cybersecurity Strategy
Assess risk and lead cybersecurity initiatives that protect digital assets.
Drive Innovation Initiatives
Launch transformation projects using agile, intrapreneurial, and data-driven approaches.
Use Data for Decisions
Apply data science tools to inform strategic planning and performance tracking.
Courses in the MS in Digital Transformation
The MSDT includes 12 required courses. Courses are designed to take two months, but you can finish in just one. You’ll begin with one course at a time and can increase your course load as you progress - at no extra cost.
Program Courses
Program Structure
You need 12 courses to complete your MS in Digital Transformation
11 core courses
1 capstone project
Core Courses (11 required)
Internet of Things
Internet of Things engages learners in examining IoT operating systems architectures, standards, and ecosystems. Learners delve into industrial automation value proposition for IoT, device management, cybersecurity analysis, best practices in IoT ecosystem design, and monetizing IoT under different commercial models and across the value chain.
Product Management with Agile and Lean
Product Management with Agile and Lean explores the techniques that product managers apply to minimize execution risk for a team. Learners examine two main types of execution risk: technical risk, which is the risk that the product fails because the team utilizes bad software management practices, and product risk, which is the risk that the product fails because it is not what the customers or market want. Learn how to apply the Agile framework to minimize technical execution risk and the Lean framework to minimize product risk.
The Art of Communication
What is the number one job skill American and global employees are lacking, according to LinkedIn CEO, Jeff Weiner? Communications. The Art of Communication is designed to strengthen and promote a leadership-driven communications model that extends from an audience-centered communications approach. How do leaders persuade shareholders? How do leaders negotiate with clients and business partners across cultures? How are the psychology and cognitive principles of negotiation influenced by audience awareness? This course introduces learners to a foundation in rhetorical awareness that will transfer through a variety of contexts, including corporate communications, public speaking, negotiation, and a range of executive leadership scenarios. Coursework includes genre analysis, professional writing, presentation design and delivery, and negotiation workshops. Learners interested in developing leadership communications skills in both public and private sectors should attend.
Technology & Operations Management
Technology plays a pivotal role in shaping and optimizing modern business operations. This comprehensive course delves into the intricate relationship between technology and operations management within organizations. It equips learners with the knowledge and skills necessary to assess technology architecture, evaluate human capital implications, analyze integration technology, and develop strategic approaches for embedding technology solutions. Through a blend of theoretical concepts, case studies, and practical applications, you will gain a deep understanding of how technology drives efficiency, innovation, and competitive advantage across various operating models.
Artificial Intelligence
Artificial Intelligence (AI) considers the business applications of machine learning (ML), and how AI supports the discovery of meaningful patterns in data and adds insights into predicting performance as well as increasing productivity. Learners explore advanced concepts in machine learning, including details of decision tree algorithms, the QUEST algorithm and how it handles nominal variables, ordinal and continuous variables, and missing data. They also explore the C5.0 algorithm and review some of its key features, such as global pruning and winnowing, and dive into advanced topics that apply to all decision trees, such as boosting and bagging. The course covers four major topics. First, machine learning and neural networks. Second, value creation across the value chain phases (project, produce, promote, and provide) and various industry verticals (retail, electric utilities, manufacturing, healthcare, and education). Third, elements of successful artificial intelligence transformation. Fourth, artificial intelligence use cases across retail, electric utilities, manufacturing, healthcare, and education.
Cybersecurity Leadership
Explore how our hyperconnected world, comprised of a myriad of networks – both machine and human – has brought us to the precipice of a fundamental revolution and redefinition of the human experience and our socio-political and military world order. Crime, news, and even warfare is digital today. Examine cybersecurity goals, cybersecurity tools, cybersecurity strategies, and how cybersecurity leadership underpins every aspect of cybersecurity strategy.
Introduction to Intrapreneurship and Innovation
Introduction to Intrapreneurship and Innovation provides a framework for how employees with an entrepreneurial mindset can navigate the complex and challenging environments within existing organizations to bring about a meaningful, practical, and effective change. This course focuses on the need for an innovative mindset and explores the concept of intrapreneurship and how it can take place from within an organization. Learners identify and navigate radical and incremental innovation. This course provides a roadmap for how individuals can plan, present, and execute innovative and entrepreneurial approaches. Learners explore how supporting this kind of entrepreneurial culture within the workplace environment can help attract and retain employees who are entrepreneurial-minded but not yet ready or able to start or join a new venture, or who desire to drive innovation within existing firms or institutions.
Robotics and Automation
Robotics and Automation engages learners in examining the Intelligent Process Automation (IPA) five core technologies. These are the following: robotic process automation (RPA), smart workflow, machine learning/ advanced analytics, natural-language generation (NLG) and cognitive agents. Learners will explore the inner workings of each of these five technologies during the course. RPA is a software automation tool that automates routine tasks. Smart workflow is a process-management software tool that integrates tasks performed by groups of humans and machines. Machine learning/advanced analytics includes algorithms that identify patterns in structured data, such as daily performance data. Natural-language generation (NLG) is a software engine that creates seamless interactions between humans and technology. Cognitive agents are technologies that combine machine learning and natural-language generation to build a completely virtual workforce.
Data Sciences for Decision Making
Data Sciences for Decision Making provides a foundation for learners to apply advanced analytics skills to complex data analysis and modes. Learners build an understanding of design, data analytics tools, and advanced analytics translators to communicate complex data-related requirements between data engineers, business, and IT stakeholders. Learners examine four major areas. First, there are momentum gains in the data and analytics revolution. Advances in data collection, machine learning, and computational power have fueled progress due to an exponential growth in the volume of data, continual advances in algorithms, and greater computational power and storage. Second, there are five elements of successful data analytics transformation: cases/sources of value, data ecosystems, modeling insights, workflow integration, and adoption. Third, the mapping value in data ecosystems includes data generation and collection, data aggregation, and data analysis. Fourth, models of distribution are fueled by big data analytics as business models are enabled by orthogonal data, hyper scale, real- time matching, radical personalization, massive data integration capabilities, data-driven discovery, and enhanced decision making.
Enabling E-commerce and Digital Strategy
Enabling E-Commerce and Digital Strategy immerses learners in the dynamic world of electronic commerce, dissecting its multifaceted nature across Business to Business (B2B), Business to Consumer (B2C), Business to Government (B2G), and Consumer to Consumer (C2C) domains. Delving beyond the surface, the course delves into the intricacies of e-commerce infrastructure, dissecting the core components and applications within B2B, B2G, and B2C markets, including diverse business and product models.
Corporate Sustainability
Before the start of the 21st Century, environmental management for a business was typically driven by the need to respond to restrictions imposed by environmental regulation; however, at the dawn of the new millennium, leading businesses began to change their concept of environmental management to look beyond simply meeting governmental dictates. In today's rapidly changing world, the need for corporate sustainability has never been more crucial. Companies that prioritize sustainability as a core tenet of their strategy are not only positively impacting the environment but also driving strong financial results. In the course "Corporate Sustainability," you will dive deep into the world of sustainable business practices and explore how corporations are making a significant impact on the environment. Through case studies and real-world examples, you will examine the strategies employed by successful businesses that have integrated sustainability into their DNA. Discover the exciting opportunities that sustainability challenges present for businesses, entrepreneurs, and individuals. By exploring emerging trends and technologies, you will be equipped with the knowledge to identify and seize these opportunities.
Capstone project (1 required)
Digital Transformation Capstone
Digital Transformation focuses on the digital transformation journey for an organization. The concepts in the transformation process apply to any organization that seeks to take advantage of digital technologies in improving business process efficiencies and customer satisfaction. This course focuses on the strategies and evaluation mechanisms in digital change, addressing the valuation of the transformation journey, management, integration, and emerging technologies. Learners will apply the concepts in evaluating digital transformation change value in various verticals, including healthcare, finance, and marketing, as they seek new digital and efficient ways of doing business.
You need 12 courses to complete your MS in Digital Transformation
11 core courses
1 capstone project
Internet of Things
Internet of Things engages learners in examining IoT operating systems architectures, standards, and ecosystems. Learners delve into industrial automation value proposition for IoT, device management, cybersecurity analysis, best practices in IoT ecosystem design, and monetizing IoT under different commercial models and across the value chain.
Product Management with Agile and Lean
Product Management with Agile and Lean explores the techniques that product managers apply to minimize execution risk for a team. Learners examine two main types of execution risk: technical risk, which is the risk that the product fails because the team utilizes bad software management practices, and product risk, which is the risk that the product fails because it is not what the customers or market want. Learn how to apply the Agile framework to minimize technical execution risk and the Lean framework to minimize product risk.
The Art of Communication
What is the number one job skill American and global employees are lacking, according to LinkedIn CEO, Jeff Weiner? Communications. The Art of Communication is designed to strengthen and promote a leadership-driven communications model that extends from an audience-centered communications approach. How do leaders persuade shareholders? How do leaders negotiate with clients and business partners across cultures? How are the psychology and cognitive principles of negotiation influenced by audience awareness? This course introduces learners to a foundation in rhetorical awareness that will transfer through a variety of contexts, including corporate communications, public speaking, negotiation, and a range of executive leadership scenarios. Coursework includes genre analysis, professional writing, presentation design and delivery, and negotiation workshops. Learners interested in developing leadership communications skills in both public and private sectors should attend.
Technology & Operations Management
Technology plays a pivotal role in shaping and optimizing modern business operations. This comprehensive course delves into the intricate relationship between technology and operations management within organizations. It equips learners with the knowledge and skills necessary to assess technology architecture, evaluate human capital implications, analyze integration technology, and develop strategic approaches for embedding technology solutions. Through a blend of theoretical concepts, case studies, and practical applications, you will gain a deep understanding of how technology drives efficiency, innovation, and competitive advantage across various operating models.
Artificial Intelligence
Artificial Intelligence (AI) considers the business applications of machine learning (ML), and how AI supports the discovery of meaningful patterns in data and adds insights into predicting performance as well as increasing productivity. Learners explore advanced concepts in machine learning, including details of decision tree algorithms, the QUEST algorithm and how it handles nominal variables, ordinal and continuous variables, and missing data. They also explore the C5.0 algorithm and review some of its key features, such as global pruning and winnowing, and dive into advanced topics that apply to all decision trees, such as boosting and bagging. The course covers four major topics. First, machine learning and neural networks. Second, value creation across the value chain phases (project, produce, promote, and provide) and various industry verticals (retail, electric utilities, manufacturing, healthcare, and education). Third, elements of successful artificial intelligence transformation. Fourth, artificial intelligence use cases across retail, electric utilities, manufacturing, healthcare, and education.
Cybersecurity Leadership
Explore how our hyperconnected world, comprised of a myriad of networks – both machine and human – has brought us to the precipice of a fundamental revolution and redefinition of the human experience and our socio-political and military world order. Crime, news, and even warfare is digital today. Examine cybersecurity goals, cybersecurity tools, cybersecurity strategies, and how cybersecurity leadership underpins every aspect of cybersecurity strategy.
Introduction to Intrapreneurship and Innovation
Introduction to Intrapreneurship and Innovation provides a framework for how employees with an entrepreneurial mindset can navigate the complex and challenging environments within existing organizations to bring about a meaningful, practical, and effective change. This course focuses on the need for an innovative mindset and explores the concept of intrapreneurship and how it can take place from within an organization. Learners identify and navigate radical and incremental innovation. This course provides a roadmap for how individuals can plan, present, and execute innovative and entrepreneurial approaches. Learners explore how supporting this kind of entrepreneurial culture within the workplace environment can help attract and retain employees who are entrepreneurial-minded but not yet ready or able to start or join a new venture, or who desire to drive innovation within existing firms or institutions.
Robotics and Automation
Robotics and Automation engages learners in examining the Intelligent Process Automation (IPA) five core technologies. These are the following: robotic process automation (RPA), smart workflow, machine learning/ advanced analytics, natural-language generation (NLG) and cognitive agents. Learners will explore the inner workings of each of these five technologies during the course. RPA is a software automation tool that automates routine tasks. Smart workflow is a process-management software tool that integrates tasks performed by groups of humans and machines. Machine learning/advanced analytics includes algorithms that identify patterns in structured data, such as daily performance data. Natural-language generation (NLG) is a software engine that creates seamless interactions between humans and technology. Cognitive agents are technologies that combine machine learning and natural-language generation to build a completely virtual workforce.
Data Sciences for Decision Making
Data Sciences for Decision Making provides a foundation for learners to apply advanced analytics skills to complex data analysis and modes. Learners build an understanding of design, data analytics tools, and advanced analytics translators to communicate complex data-related requirements between data engineers, business, and IT stakeholders. Learners examine four major areas. First, there are momentum gains in the data and analytics revolution. Advances in data collection, machine learning, and computational power have fueled progress due to an exponential growth in the volume of data, continual advances in algorithms, and greater computational power and storage. Second, there are five elements of successful data analytics transformation: cases/sources of value, data ecosystems, modeling insights, workflow integration, and adoption. Third, the mapping value in data ecosystems includes data generation and collection, data aggregation, and data analysis. Fourth, models of distribution are fueled by big data analytics as business models are enabled by orthogonal data, hyper scale, real- time matching, radical personalization, massive data integration capabilities, data-driven discovery, and enhanced decision making.
Enabling E-commerce and Digital Strategy
Enabling E-Commerce and Digital Strategy immerses learners in the dynamic world of electronic commerce, dissecting its multifaceted nature across Business to Business (B2B), Business to Consumer (B2C), Business to Government (B2G), and Consumer to Consumer (C2C) domains. Delving beyond the surface, the course delves into the intricacies of e-commerce infrastructure, dissecting the core components and applications within B2B, B2G, and B2C markets, including diverse business and product models.
Corporate Sustainability
Before the start of the 21st Century, environmental management for a business was typically driven by the need to respond to restrictions imposed by environmental regulation; however, at the dawn of the new millennium, leading businesses began to change their concept of environmental management to look beyond simply meeting governmental dictates. In today's rapidly changing world, the need for corporate sustainability has never been more crucial. Companies that prioritize sustainability as a core tenet of their strategy are not only positively impacting the environment but also driving strong financial results. In the course "Corporate Sustainability," you will dive deep into the world of sustainable business practices and explore how corporations are making a significant impact on the environment. Through case studies and real-world examples, you will examine the strategies employed by successful businesses that have integrated sustainability into their DNA. Discover the exciting opportunities that sustainability challenges present for businesses, entrepreneurs, and individuals. By exploring emerging trends and technologies, you will be equipped with the knowledge to identify and seize these opportunities.
Digital Transformation Capstone
Digital Transformation focuses on the digital transformation journey for an organization. The concepts in the transformation process apply to any organization that seeks to take advantage of digital technologies in improving business process efficiencies and customer satisfaction. This course focuses on the strategies and evaluation mechanisms in digital change, addressing the valuation of the transformation journey, management, integration, and emerging technologies. Learners will apply the concepts in evaluating digital transformation change value in various verticals, including healthcare, finance, and marketing, as they seek new digital and efficient ways of doing business.
What’s it like to learn at Nexford?
Real-world projects
Real-world projects
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.
Flexible
Flexible
Collaborative learning
Collaborative learning
Work with peers from around the world on discussions that reflect global workplace dynamics. You won’t learn in a vacuum. Share ideas, get feedback, build a network - and be part of a global community that sharpens how you think.
Rewarding learning
Rewarding learning
Earn certificates and digital badges for the skills you build - long before you finish your degree. Every project moves you forward and every milestone counts. Progress isn’t hidden, its rewarded and you get to share that progress as you grow.
Personalized support
Personalized support
You’re online but never alone. Book 1:1 time with faculty or advisors, join group sessions, or reach out anytime by chat, email, or online calls. Whether it’s academics or career advice, real humans are here - or bots if you prefer.
Technology enabled
Technology enabled
Expect a modern, fully online experience that just works - including on mobile. All required tools are included, and you’ll never pay extra for textbooks or software. No clunky systems or boring PDFs. Just online learning, made simple.
MSDT Admission requirements
You can upload your documents 100% online today
Proof of Identity
Proof of Identity
As part of the admissions process, applicants are asked to provide a photo or scan of a government-issued form of identification and a passport-style photo or selfie.
Undergraduate degree transcript
Undergraduate degree transcript
Graduate level applicants will need to have completed a bachelor’s degree at an accredited institution in business or a IT-related field.
Proof of English Proficiency
Proof of English Proficiency
If your previous education was in English, your transcript will serve as proof of English proficiency. You can also provide scores from an approved qualification exam.
Where our learners work
Join us for a free virtual tour
Join us live to see how learning at Nexford works, hear from alumni, and get your questions answered by current learners, faculty, and staff.
Free online webinar
Get a live preview of Nexford courses and the tools our learners use. Hear from our team dedicated to your success.
Free online webinar
Get a live preview of Nexford courses and the tools our learners use. Hear from our team dedicated to your success.
Your dedicated career success platform
Your dedicated career success platform
Personalized Career Recommendations
Discover your strengths and uncover your personalized career paths with AI-powered personality and job-fit assessments.
Smart Resume & Interview Tools
Build standout resumes and get real-time interview feedback to ace your next interview.
1:1 Career Coaching
Book time with expert coaches for personalized guidance on job searches, networking, and long-term planning.
Access thousands of additional courses
Access thousands of additional optional courses & certifications to help you level-up at no additional cost.
Real projects you'll complete in your MS in Digital Transformation
Machine Learning in BCG
Tata: Big Data for Decisions
Citi: Scalable Fintech Build
Machine Learning in BCG
Tata: Big Data for Decisions
Citi: Scalable Fintech Build
Your career outlook as an MSDT graduate
This program is built for those driving digital change – leading transformation projects, managing innovation, or working in tech-forward roles across industries, startups, or consultancies. These are real examples of roles held by our 4,000+ graduates.
Digital Strategy & Innovation
- Digital Transformation Manager
- Tech Strategy Consultant
- Chief Innovation Officer
- Change Management Specialist
Tech Strategy & Governance
- Technology Strategy Consultant
- IT Governance Manager
- Tech Project Lead
- Digital Product Manager
Cybersecurity & Risk
- Cybersecurity Analyst
- Information Security Manager
- Risk Manager
- Compliance Officer
Data & Analytics
- Data Analyst
- Business Intelligence Analyst
- Data Engineer
- Business Analyst
40%
Expected growth in digital transformation roles over the next 5 years
$115,000
Median salary for Digital Transformation Managers
70%
of organizations report talent shortages in analytics & data science
Sources: Earnest, GMAC (Graduate Management Admission Council), LinkedIn Insights / Emerging Jobs Report, World Economic Forum, Deloitte Insights, PwC CEO Survey, Gartner, IDC (International Data Corporation), Statista, eMarketer, Kauffman Foundation, Crunchbase, OECD, World Bank, UNESCO Graduate Outcomes Survey, IBM Research, Harvard Business Review, National Association of Colleges and Employers, International Labour Organization, HubSpot & LinkedIn Marketing Report, Glassdoor Salary Insights
Hear from our alumni and their employers
Nexford is accredited.
Accredited by DEAC
The International Accreditation Council for Business Education (IACBE)
Accredited by DEAC
The International Accreditation Council for Business Education (IACBE)