Financial Services Analytics (M.S.)
The M.S. in Financial Services Analytics (FSAN) program is a joint initiative between the Alfred Lerner College of Business and Economics and the College of Engineering. It provides rigorous training in financial theory, practical knowledge of the financial services industry, and advanced data science techniques, including artificial intelligence and machine learning.
The curriculum is built around three core areas: financial risk management, financial operations and financial management. This interdisciplinary STEM program offers the flexibility to accommodate students’ diverse backgrounds, interests and career goals, while also aligning with employer needs. Graduates are well-prepared for roles in fintech and the broader financial services industry, or may choose to pursue further study in UD’s Ph.D. in FSAN program.
Flexible Format Options
This on campus program is 30 credits and can be completed in as little as one calendar year or within three years.
Program Highlights
- Learn and use advanced data science tools, such as R, Python, SAS, SQL, Gurobi, CVX, PyTorc
- This rigorous program shares core classes with the Ph.D. program
- Our interdisciplinary faculty are leaders in research and publication
- Gain access to Lerner Career Services Center’s top-notch graduate internship and mentorship programs
- Delaware is a nationwide leader in fintech, business and financial services
- You may seamlessly transition to the Ph.D. in FSAN
Program Requirements
To earn the M.S. degree, you are required to complete a minimum of 30 credits of coursework specified in the FSAN program curriculum. Throughout the coursework, you must maintain a 3.0 cumulative GPA. All courses are 3 credits unless stated otherwise.
Courses (30 credits)
ELEG 815 – Foundations of Statistical Learning
FSAN 820 – Foundations of Optimization
FSAN 830 – Business Process Management, Innovation and Analysis
CISC 683 – Introduction to Data Mining
FINC 841 – Financial Services Markets
FINC 842 – Financial Services Risk Analytics
Required course
BUAD 640 – Ethical Issues in Domestic and Global Business Environments
Electives; choose 3 from:
FSAN 817/ELEG 817 – Large Scale Machine Learning
MISY 831/FSAN 831 – Enterprise Information Systems
ELEG 636 – Statistical Signal Processing
ACCT 604 – Database Design and Implementation
ACCT 806 – Systems Analysis, Design and Implementation
ACCT 817 – Information Technologies Audit
ACCT 625 – Financial Statement Analysis
CISC 686 – Introduction to Multi-Agent Systems
CISC 684 – Introduction to Machine Learning
CISC 681 – Artificial Intelligence
ELEG 630 – Information Theory
APEC 801 – Microeconomic Theory and Behavior
FSAN 860 – Current Research Topics
FSAN 850 – Financial Services Analytics Seminar
ECON 622 – Applied Econometrics I
ECON 861 – Industrial Organization and Regulation
FSAN 964 – Pre-Candidacy Study
FINC 612 – Capital Markets and Financial Institutions
FINC 616 – Derivative Securities and Risk Management
FINC 670 – Theory of Financial Decision Making
FINC 671 – Workshop in Finance: Seminar
MATH 612 – Computational Methods for Equation Solving and Function Minimization
MATH 630 – Probability Theory and Applications
MATH 631 – Introduction to Stochastic Processes
MATH 672 – Vector Spaces
MATH 829 – Topics in Mathematics
STAT 601 – Probability Theory for Operations Research and Statistics
STAT 602 – Mathematical Statistics
STAT 611 – Regression Analysis
STAT 615 – Design and Analysis of Experiments
STAT 620 – Nonparametric Statistics
STAT 674 – Applied Data Base Management
STAT 675 – Logistic Regression
FSAN 817/ELEG 817 – Large Scale Machine Learning
Up to three elective classes can be replaced by independent studies if you choose to do a practical project.
STEM OPT Program
This STEM-designated degree program provides international students 24 months of OPT (Optional Practical Training) in addition to the original 12 months.
Graduate & MBA Success
After graduation in 2023, 97% of students were employed (earning an average salary of $96,234). The Career Outcomes website reports what our graduates do, where they work and the salaries they make.
Contact
Dr. Bintong Chen
Professor of Operations Management, Director – Institute for Financial Services Analytics, Faculty Director – Financial Services Analytics Ph.D. Program
(302) 831-2756
Kelly Chan
Academic Coordinator
(302) 831-6526
Admissions Information
Learn more about master of science in financial services analytics admissions requirements, deadlines and tuition.
STEM-Designated Program
This STEM-designated program provides international students 24 months of OPT (Optional Practical Training) in addition to the original 12 months.
Institute for Financial Services Analytics (IFSA)
IFSA offers research seminars and conferences that connect education and industry in the emerging field of financial services analytics.