Lead research and practice in the area of financial services analytics.

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 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.

Program Highlights

Facilities

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.

Financial Support

Through a significant grant from JPMorgan Chase and Co, top candidates are provided with financial support – including tuition and a competitive stipend.

Student Experience

The small student cohort provides ample opportunities for close interaction with thought-leading faculty from multiple disciplines including business, engineering and computer science.

Program Requirements

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.

Courses (45-54 credits)
Courses in bold are core curriculum classes. The courses marked with an asterisk (*) below are listed by two departments. In addition to the courses listed below, FSAN students must also take three additional electives. For a complete list of acceptable electives, please refer to the FSAN Advising page on myLerner.
 
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, and active learning on graphs, among others.

Career Opportunities

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
  • Barclays
  • Sallie Mae
  • Amazon
  • LinkedIn
  • HP

Where Our Graduates Work

Academic Institutions:
  • Shanghai University of Finance & Economics
  • University of Delaware
  • Virginia Tech
Banking and Financial Services:
  • JP Morgan Chase & Co
  • Bank of America
  • Morningstar
  • USAA
Industry:
  • Amazon
  • LinkedIn
  • Microsoft
  • Thomas Jefferson University Hospital
“UD was able to merge finance, data mining, statistics and other areas to create the FSAN program. This is also reflected in the diversity of the students. We come from different fields, and it is wonderful how we are able to complement each other in so many different ways.”

– FSAN student Leonardo De La Rosa Angarita

News

  • Lerner Remote Resources - The Lerner College is committed to supporting our community during this uncertain time. Please refer to this page for important resources and contact information.
  • JPMorgan Chase Employees Earn UD Certificate - JPMorgan Chase & Co. has collaborated with the Lerner College to offer employees a certification in data analytics.
  • Exploring Machine Learning in Financial Services - UD's Institute for Financial Services Analytics 2019 Conference brought together industry and academia to discuss machine learning’s impact on financial services.
  • Best Data Science Paper - UD’s Xiao Fang, Jing He and Xiaohang Zhao have won the 2019 INFORMS Workshop on Data Science best paper award for their research on using deep learning technology to classify financial firms.
  • The Odd Couple: STEM and Business - STEM-designated master’s degrees from the Lerner College equip today’s business graduates to drive change, creativity and advancements in any field and industry.

Learn More

Contact Dr. Bintong Chen
302-831-2756
about-FSAN@udel.edu

Explore the doctorate in FSAN by viewing a recent FSAN information session.


Admissions Information

The application deadline for the next cohort (beginning fall semester 2022) is February 1, 2022. We accept students every other year (in the even-numbered years). 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.

Applying to the Program