The curriculum to be delivered is designed to be at par with some of best programs of this nature available across the globe. The aim is to make students market-ready for investment finance jobs.

Semester 1
Introduction to Financial Engineering
Financial Computing - I (Excel VBA)
Introduction to Financial Mathematics
Introduction to Financial Statistics
Probability Theory - I
Corporate Finance and Financial Modelling
Semester 2
Probability Theory - II
Financial Computing - II (R, MATLAB)
Statistical Analysis of Financial Data
Introduction to Stochastic Calculus
Stochastic Calculus for Finance
The Bourse Game and Currency Markets
Semester 3
Numerical Computations For Finance
Computational Finance - I (Equity Derivatives)
Computational Finance - II (Fixed Income)
Computational Finance - III (Currency Derivatives)
Computational Finance - IV (Credit Derivatives)
Risk Management - I
Semester 4 (2 Mandatory + any 4 Optionals)
Case Studies in Financial Markets - I (Mandatory)
Case Studies in Financial Markets - II (Mandatory)
Financial Computing - III (Python, C++)
Financial Computing - IV (RDBMS)
Financial Computing - V (SAS)
Financial Computing - VI (Big Data in Finance)
Risk Management - II
Quantitative Trading
Portfolio Management and Analytics