Financial Services Analytics (M.S.)

Create solutions in the innovative banking, fintech and tech industries.

Apply modern data science techniques, such as artificial intelligence (AI) and machine learning, to analyze and solve real world problems that arise in the financial services industry. UD’s M.S. in Financial Services Analytics (FSAN) program is a joint effort of UD’s Alfred Lerner College of Business and Economics and the College of Engineering, designed in response to the growing needs of the industry and the popularity of UD’s Ph.D. in FSAN program.

The rigorous curriculum is designed around three core areas of study: financial risk management, financial operations and financial management. It is an inter-disciplinary STEM program with sufficient flexibility to best address students’ diverse backgrounds, interests and career goals as well as employer demands. Graduates will find placement in the fintech and financial services industries. They may also continue into the Ph.D. in FSAN.

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

  • Delaware is a nationwide leader in fintech, business and financial services
  • You may earn internships with major banking institutions
  • You will enter the workforce with a credential others lack: an M.S. in FSAN
  • Our interdisciplinary faculty are leaders in research and publication
  • You may seamlessly transition to the Ph.D. in FSAN
  • The rigorous program shares some classes with the Ph.D. program

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)
Core courses
FSAN 815/ELEG 815 Analytics I – Foundations of Statistical Learning
FSAN 820 Analytics II – Foundations of Optimization
FSAN 830 – Business Process Management, Innovation, and Analysis
CISC 683 – Introduction to Data Mining
FINC 841/FSAN 841 – Financial Services Firms and Markets
FINC 842/FSAN 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

The M.S. in FSAN degree is a STEM-designated degree program and provides international students 24 months of OPT (Optional Practical Training) in addition to the original 12 months.


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.