Naveen Jindal School of Management
Master of Science in Financial Engineering and Risk Management
36 semester credit hours minimum
Professors: Ashiq Ali @axa042200, Daniel A. Cohen @dac101000, William M. Cready @wmc041000, Umit G. Gurun @ugg041000, Suresh Radhakrishnan @sradhakr
Clinical Professors: John Barden @jpb063000, John Gamino @jpg140630
Associate Professors: Zhonglan Dai @zxd051000, Rebecca Files @rlf092000, Surya N. Janakiraman @suryaj, Ningzhong Li @nxl124130, Ramachandran (Ram) Natarajan @nataraj, Naim Bugra Ozel @nbo150030, Gil Sadka @gxs143630, Jieying Zhang @jxz146230, Yuan Zhang @yxz122931, Yibin Zhou @yxz066000
Clinical Associate Professor: Lale Guler @lxg152230
Assistant Professors: Nathan Goldman @ncg160030, Ying Huang @yxh124430, Meng Li @mxl120531, Maria Loumioti @mxl175830, Nir Yehuda @nxy130530
Senior Lecturers: Tiffany A. Bortz @tabortz, Richard Bowen @rxb073100, Mary Beth Goodrich @goodrich, Jennifer G. Johnson @jxj091000, Chris Linsteadt @ccl019000, Joseph Mauriello @jam151430, Anindita Roy Bardhan @axb149330, Steven Solcher @sjs107020, Amy L. Troutman @amybass, Kathy Zolton @kxz121730
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. Students learn the quantitative skills required to analyze financial information, engineer financial products, identify risks, and manage risks. 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. Special tuition, fees and admissions requirements apply and the program is supported entirely by participant tuition/fees.
The program provides the student with education and knowlegde to pursue a career in financial data analytics as well as to pass the Financial Risk Manager (FRM) exam, the Enterprise Risk Management Certified Professional (ERMCP) exam, or the RIMS-CRMP exam.
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 aggregate courses 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 and 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
Students take courses from the following set of courses with approval of the program director.
FERM 6301 Financial Accounting Information and Analysis
FERM 6303 Financial Assets and Market
FERM 6305 Introduction to Mathematics in Finance
FERM 6306 Advanced Mathematics in Finance
FERM 6310 Financial Information and Analytics
FERM 6311 Financial Technology
FERM 6320 Statistical Methods for Financial Analytics
FERM 6321 Advanced Statistical Methods for Financial Analytics
FERM 6330 Insurance and Risk Management
FERM 6331 Risk Evaluation and Management
FERM 6332 Financial Risk Management
FERM 6333 Enterprise Risk Management
FERM 6V98 Finance Internship
FERM 6V99 Special Topics in Finance