Naveen Jindal School of Management
Master of Science in Financial Engineering and Risk Management
36 semester credit hours minimum
Professors: Ashiq Ali @axa042200, Alain Bensoussan @axb046100, Theodore E. Day @tday, Vikram Nanda @vkn150030, Suresh Radhakrishnan @sradhakr, Michael J. Rebello @mjr071000, Harold Zhang @hxz054000, Zhiqiang (Eric) Zheng @zxz062000
Associate Professors: Nina Baranchuk @nxb043000, Zhonglan Dai @zxd051000, Robert L. Kieschnick Jr. @rkiesch, Kelsey D. Wei @kdw061000, Han (Victor) Xia @hxx110930, Yexiao Xu @yexiaoxu, Yuan Zhang @yxz122931
Assistant Professor: Xiaoxiao Tang @xxt180003
Clinical Professors: John Barden @jpb063000, Randall S. Guttery @rxg112530, Jeffrey Manzi @jxm158130
Clinical Associate Professor: Carolyn Reichert @carolyn
Clinical Assistant Professor: Liping Ma @lxm133730
Senior Lecturer: Debra Richardson @dlr150330
The Master of Science in Financial Engineering and Risk Management (MS FERM) at the Naveen Jindal School of Management is a STEM (Science, Technology, Engineering and Mathematics) cohort degree program that requires a minimum of 36 semester credit hours. This Fintech program provides students with the practical and theoretical knowledge needed to pursue careers involving financial data analytics, financial technology, or risk management. The program is designed for students with or without previous educational background in finance, but with a proclivity toward more quantitative approaches to managerial issues.
Students completing this program will have the knowledge necessary to take the Certified Corporate Financial Planning & Analysis Professional exam, the RMA Credit Risk Certification, the Financial Risk Manager (FRM) exam, the Enterprise Risk Management Certified Professional (ERMCP) exam, or similar finance related certifications. While the full-time program is a cohort program, a part-time program for working professionals is also offered. Both programs only begin each fall. Special tuition, fees and admissions requirements apply and the program is supported entirely by participant tuition/fees.
To apply for this degree program, an undergraduate degree is required (all majors are considered). Students must maintain a 3.0 grade-point average (GPA) in both core courses and in all graduate courses taken in the degree program, excluding program prerequisites to qualify for the MS degree.
Students pursuing the Master of Science in Financial Engineering and Risk Management degree program are required to have completed course work in calculus, linear algebra, probability/statistics, and programming with a grade of "B" or better. Applicants who have not satisfied these requirements will need to satisfy these requirements prior to beginning their program of course work. The program director will work with such candidates on different ways to satisfy these requirements. Degree credit is not earned for program prerequisites, however, the grade achieved in prerequisites will count toward the student's grade-point average (GPA).
Core Courses: 36 semester credit hours
Program director develops a program of study for students each term based on courses listed below.
FTEC 6002 Financial Engineering and Risk Management Internship
FTEC 6301 Financial Accounting Information and Analysis
FTEC 6302 Financial Markets and Institutions
FTEC 6303 Asset Pricing and Management
FTEC 6304 Corporate Finance and Risk Management
FTEC 6305 Introduction to Mathematics in Finance
FTEC 6306 Advanced Mathematics in Finance
FTEC 6310 Financial Information and Analytics
FTEC 6311 Financial Technology I
FTEC 6312 Financial Technology II
FTEC 6313 Cloud Computing and Cyber Security
FTEC 6319 Mathematics for Financial Analytics
FTEC 6320 Statistical Methods for Financial Analytics
FTEC 6321 Advanced Statistical Methods for Financial Analytics
FTEC 6331 Risk Evaluation and Management
FTEC 6334 Financial Applications of Machine Learning
FTEC 6V98 Financial Technology and Analytics Internship
FTEC 6V99 Special Topics in Financial Technology and Analytics