Ph.D. in Financial Services Analytics (FSAN)
The financial services analytics (FSAN) doctoral program at the University of Delaware (UD) is the first of its kind, developing fundamental data science theories and models, and creating data-driven decision-making tools applicable to the financial services industry and other technology industries. It is an interdisciplinary STEM-designated program – a joint effort between UD’s Alfred Lerner College of Business and Economics and College of Engineering.
FSAN students have very diverse academic backgrounds; they have B.S. and/or M.S. degrees in areas such as math, statistics, computer science and many related business and engineering disciplines.
Our state-of-the-art facilities are designed to foster collaboration among students, faculty and industry; these include the JPMorgan Chase Innovation Center, the Geltzeiler Trading Center and the Harker Interdisciplinary Science and Engineering Laboratory.
Through a significant grant from JPMorgan Chase and Co, top candidates are provided with financial support – including tuition and a competitive stipend.
The small student cohort provides ample opportunities for close interaction with thought-leading faculty from multiple disciplines including business, engineering and computer science.
To be granted a doctorate in FSAN, you must successfully complete all FSAN coursework with a 3.0 cumulative GPA. Most students complete all degree requirements within 4 to 6 years.
BUAD 640 – Ethical Issues in Domestic and Global Business Environments
FSAN 815/ELEG 815 – Analytics I: Statistical Learning*
FSAN 820 – Foundation of Optimization
FSAN 830 – Business Process Management Innovation
CISC 683 – Introduction to Data Mining
FINC 841/FSAN 841 – Financial Services Markets*
FINC 842/FSAN 842 – Financial Services Risk Analytics*
FSAN 850 – Financial Services Analytics Seminar (6 credits)
FSAN 860 – Current Research Topics (0-9 credits)
FSAN 969 – Doctoral Dissertation (9 credits)
Examinations and Dissertation
A qualifying exam and research paper are required at the end of the first year. A dissertation proposal and oral defense must be completed by the start of the third year. The dissertation requirement includes the approval of both your written dissertation and oral defense. Full exam and dissertation details can be found on myLerner.
A Look Into the Program
Student Research Topics
FSAN students work closely with their supervisors to identify cutting-edge research topics related to modern data science theory, algorithms and applications in banking and the financial and tech industries. Sample dissertation topics include:
- Bayesian causal inference
- predictive analytics
- bank systemic risk
- malware detection and classification
- credit card fraud detection
- NLP & chat-bots
- link recommendation
- text-based industry classification
- loan process optimization
- customer targeting
- active learning on graphs
Our program generates excellent internship opportunities and industry and academic job prospects.
Corporate-sponsored internships offer you the opportunity to apply analytics tools to real-world challenges on teams in wealth management, machine learning, data architecture, investment banking, global finance and business management. Most students gain internship experience while pursuing their Ph.D. degrees.
FSAN graduates are researchers and professionals who play key roles in teams that bridge the financial services industry and data and operational sciences. They are now employed as data scientists in major banks, fintech companies and technology companies. The FSAN program works closely with Lerner Career Services to provide personalized, high quality career assistance.
Where Our Students Intern
- JP Morgan Chase & Co
- Sallie Mae
Where Our Graduates Work
- Shanghai University of Finance & Economics
- University of Delaware
- Virginia Tech
- JP Morgan Chase & Co
- Bank of America
- Thomas Jefferson University Hospital
– FSAN student Leonardo De La Rosa Angarita
- What is a STEM Degree - What are the advantages of STEM degrees? What are STEM-designated degrees? And, how can foreign students harness them to optimize their education and professional experiences in the U.S.?
- Lifelong Lerner: Mingxing Gong - Mingxing Gong, a member of UD’s Lerner Class of 2022, shared his favorite UD memories, how he has grown during his time at UD and his plans following graduation.
- Outstanding Lifelong Lerner: Minghui He - Minghui He, who earned a doctorate in financial services analytics in 2016 and works as a research scientist at Amazon, spoke with Lerner about her journey to the FSAN program and what she learned through the program.
- Outstanding Lifelong Lerner: Disen Wang - Disen Wang earned a doctorate in financial services analytics (FSAN) in 2021 and currently works as a quantitative research analyst at Morningstar in Jersey City, New Jersey. Wang spoke with Lerner about his journey to the FSAN program and what he learned through the program at Lerner.
- Outstanding Lifelong Lerner: Negin Faraji - Negin Faraji earned a doctorate in financial services analytics (FSAN) in 2016 and currently works as a data scientist at Virginia Tech. Faraji spoke with Lerner about her journey to the FSAN program and what she learned through the program at Lerner.
Contact Dr. Bintong Chen
We accept students every other year, in the even-numbered years. The application deadline for the next cohort (beginning fall semester 2024) is May 1, 2024. Students seeking financial aid should submit their applications by February 1, 2024, but late applications will be considered if funds are available. Highly-qualified students may receive research scholarships as well as a generous stipend to cover all educational expenses.
Learn more about the financial services analytics Ph.D. admissions requirements, deadlines, tuition and financial aid available to you.