M.Sc. – Financial Engineering

Programme Overview

Duration: 2 Years | Programme Code: 010302

The Masters in Science in Financial Engineering is a full time post graduate level qualification targeting the students from diverse backgrounds. Financial Engineering is a multi-disciplinary field involving theory of finance and economics, methods of engineering, tools and techniques of statistics and mathematics and use of computer programming. It empowers the students to succeed as a dynamic finance professional in a highly technologically advanced world. The programme enables the students to develop and implement solutions in various areas such as Product Structuring, Risk Management, Quantitative Research, Quantitative Trading and Financial Information Technology.

Programme Educational Objectives

  • Understanding of the current financial practices used to engineer synthetic financial instruments.
  • Identify and manage financial risks in various financial instruments.
  • Apply derivative strategies to engineer risk-return patterns that meet the needs of investors.
  • Develop the students to become effective managers and leaders in the business

Programme Outcomes

At the end of the programme, students will be able to:

  • develop a detailed understanding of various theories and models of finance and economics and their use in measurement and management of risk.
  • apply relevant statistical and mathematical tools to diverse financial problems.
  • understand and use various programming tools to develop financial models and implement these models in practice.
  • apply financial econometric theory to analyse and evaluate investment decisions

Programme Highlights

The programme is multi-disciplinary in nature that combines finance, mathematics, statistics and computer science. Teaching will be done through interactive sessions along with software application. Real life scenarios and situations will be shared through cases, tutorials, videos and group tasks. Emphasis will be laid on practical learning through real life projects.

Some of the major areas that will be covered

Risk Management, Portfolio Selection and Management, Optimization and Stochastic Models, Financial Derivatives, Monte Carlo Simulation, Corporate Finance, Asset Allocation, Big Data Finance, Algorithmic Trading, Quantitative Finance, Mat Lab and Management. Accounting as offered by CIMA (Chartered Institute of Management Accountant of UK).

Career Avenues

Develop a career in various sectors such as Quantitative Analysis, Risk Management, Investment Analysis, Trading, Banking etc.

Entry Requirements

An undergraduate degree in any discipline from UGC approved University. In addition, candidates will also have to successfully complete Goenka Aptitude Test for Admission (GATA) and appear for a personal interview.

Course Structure

SEM 1

Code Pre-requisite Paper Title L T P per Week Total Credits
Principles of Management4004
Accounting and Financial Analysis4004
Mathematics for Finance3024
Basics of Computer Programming2023
Business Communication & Personality Enhancement I2023
Statistics for Finance3024
IPT 1001Project 1/ Amalgamator202/3003
Total Credits25

SEM 2

Code Pre-requisite Paper Title L T P per Week Total Credits
Financial Management4004
Financial Econometrics3024
Optimisation Models and Methods for Financial Engineering3024
Financial Economics3003
Business Communication & Personality Enhancement I2023
Financial Markets and Services3003
IPT 1002Project 2/ Amalgamator202/3003
Total Credits24

SEM 3

Code Pre-requisite Paper Title L T P per Week Total Credits
Financial Derivatives3003
Security Analysis & Portfolio Management4004
International Financial Management2023
Stochastic Models for Financial Engineering2023
Advanced Computer Programming for Financial Engineering2023
Behavioural Finance3003
Summer Training00168
Total Credits27

SEM 4

Code Pre-requisite Paper Title L T P per Week Total Credits
Advaced Risk Management3024
Commodity Derivatives3003
Monte Carlo Simulation3024
Data Analysis for Financial Engineering2023
Artificial Intelligence Techniques in Finance2023
Stock and Commodity Market Operations2023
IPT 1002Financial Engineering Project00168
Total Credits28