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Naveen Jindal School of Management

The Naveen Jindal School of Management offers a Master of Science in Financial Engineering and Risk Management (MS FERM) degree program. This program is a STEM (Science, Technology, Engineering, and Mathematics) cohort degree program that requires a minimum of 36 semester credit hours.

Faculty

The faculty for the MS FERM program includes:

• Professors: Ashiq Ali, William M. Cready, Umit G. Gurun, Stanimir Markov, Suresh Radhakrishnan
• Clinical Professors: John Barden, John Gamino
• Associate Professors: Zhonglan Dai, Rebecca Files, Surya N. Janakiraman, Ningzhong Li, Ramachandran (Ram) Natarajan, Naim Bugra Ozel, Gil Sadka, Jieying Zhang, Yuan Zhang, Yibin Zhou
• Assistant Professors: Ying Huang, Meng Li, Maria Loumioti
• Senior Lecturers: Tiffany A. Bortz, Richard Bowen, Mary Beth Goodrich, Jennifer G. Johnson, Chris Linsteadt, Joseph Mauriello, Steven Solcher, Kathy Zolton

Degree Requirements

The MS FERM 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.

Prerequisites

Students pursuing the MS FERM degree program are required to have completed coursework in:

• Calculus
• Linear algebra
• Probability/statistics
• 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 coursework.

Course Requirements

The program requires a minimum of 36 semester credit hours. The core courses include:

• FERM 6301 Financial Accounting Information and Analysis
• FERM 6302 Financial Forecasting, Planning 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 6334 Financial Applications of Machine Learning
• FERM 6V98 Financial Engineering and Risk Management Internship
• FERM 6V99 Special Topics in Financial Engineering and Risk Management

Admission Criteria

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.