Average Duration
1-2 months
Monthly Tuition
$500.00
Next Start Date
August 1, 2025
About This Course
This course aims to provide learners with a deep understanding of the application of machine learning techniques in the financial industry. The course will cover essential concepts, algorithms, and tools used in machine learning for finance, enabling learners to develop and implement innovative financial models and solutions. Learners will gain practical experience in applying machine learning techniques to real-world financial problems through content, interactive activities, multimedia, and case studies. Key topics that will be covered in this course includes financial data preprocessing and feature engineering, supervised learning algorithms for finance, unsupervised learning algorithms for finance, reinforcement learning for algorithmic trading, natural language processing for finance, portfolio optimization and risk management, regulatory compliance and ethical considerations.

How learning happens at Nexford
Here, learning is designed around you. Experience a flexible and engaging path to mastering new skills and knowledge.
Learning Outcomes
Deliberate financial data preprocessing and feature engineering.
Assess machine learning algorithms for financial applications.
Apply machine learning techniques to solve real-world financial problems.
Analyze risks and ethical considerations of machine learning in finance.
Frequently Asked Questions
What support is available for learners?
Nexford offers learners support from our Success Advisors, who can advise on academic planning, enrollment, time management, and other issues related to life as a student and working adult. Nexford also offers other types of academic support, such as a writing resource center, research assistance from our online Librarian, and learning support within courses from the course instructor and the course facilitator. Nexford also offers opportunities for learners to connect with each other to get support from their peers, include a Peer Mentor program and alumni communities.
What time commitment do I need to make?
Learners should expect to commit a minimum of 15-20 hours per week, per course. The max duration to complete a course is 8 weeks, but learners can move at a quicker pace if they like.
What's the deadline to enroll?
You may enroll at any time, but we recommend you enroll at least one week before your first course. This gives you enough time to complete your orientation and explore the learning environment before you start.
I missed the application deadline. Can I still apply?
You can! We accept new learners on the first of each month. So even though you missed one deadline, there's another start date around the corner.
Take the first step by talking to us.
Get started by speaking with one of our Admissions Specialists. Fill out this form and we'll get in touch.