The demand for highly skilled experts in financial economics continues to increase rapidly in the modern economy. This demand exists in the public sector (central banks, international organizations, academic institutions) as well as in the private sector (commercial banks and insurance companies).The MSc Financial Economics programme at Dr. B.R. Ambedkar School of Economics University is designed to meet this demand, for those who seek a quantitative degree in Financial Economics, by combining a solid training in finance and macroeconomic principles, as well as the quantitative methods required for the analysis of financial markets. In the first year, students will be given rigorous training in core papers like Advanced Macroeconomics, Microeconomics, Advanced Econometrics, Quantitative methods, etc., along with an introductory course in Financial Economics. In the second year, students shall be trained in specialized papers in finance, particularly in the areas of risk management, financial modelling, security analysis, valuation, stochastic processes, operations research, actuarial economics, etc. More importantly, hands-on data analysis modules with applications relevant to Financial Economics using tools like R/Python/ MatLab are to be a part of the curriculum, which would equip students to analyze market trends and work on big data. Internships with industry, banks, and financial institutions would be an integral part of the programme.
Core Subjects*
- Financial Economics
- Fundamentals of Financial Management
- Advanced Microeconomics
- Advanced Macroeconomics
- Advanced Econometrics I
- Advanced Econometrics II
- Quantitative Methods
- Research Methodology
- Programming with R
- Programming with Python
- Game Theory
- Asset Pricing
- Applied Corporate Finance
- Fixed Income Securities
- Options and Derivative
Electives*
- Financial Risk Management
- Fundamentals of Financial Statement and Analysis
- Financial Econometrics
- Economics of Banking and Finance
- Economics of Insurance Investment Analysis & Portfolio Management
- Empirical Finance
- Finance & Private Equity
- Behavioral Finance
- Business Valuation
- Financial Modeling
- Financial Engineering
- Advanced Operations Research
- Artificial Intelligence and Machine Learning
- Forecasting Financial Markets
- Contemporary issues in finance
*Proposed Structure