M.Sc in Financial Economics

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


  • 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