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 Management 400 4
Accounting and Financial Analysis 400 4
Mathematics for Finance 302 4
Basics of Computer Programming 202 3
Business Communication & Personality Enhancement I 202 3
Statistics for Finance 302 4
IPT 1001 Project 1/ Amalgamator 202/300 3
Total Credits 25

SEM 2

Code Pre-requisite Paper Title L T P per Week Total Credits
Financial Management 400 4
Financial Econometrics 302 4
Optimisation Models and Methods for Financial Engineering 302 4
Financial Economics 300 3
Business Communication & Personality Enhancement I 202 3
Financial Markets and Services 300 3
IPT 1002 Project 2/ Amalgamator 202/300 3
Total Credits 24

SEM 3

Code Pre-requisite Paper Title L T P per Week Total Credits
Financial Derivatives 300 3
Security Analysis & Portfolio Management 400 4
International Financial Management 202 3
Stochastic Models for Financial Engineering 202 3
Advanced Computer Programming for Financial Engineering 202 3
Behavioural Finance 300 3
Summer Training 0016 8
Total Credits 27

SEM 4

Code Pre-requisite Paper Title L T P per Week Total Credits
Advaced Risk Management 302 4
Commodity Derivatives 300 3
Monte Carlo Simulation 302 4
Data Analysis for Financial Engineering 202 3
Artificial Intelligence Techniques in Finance 202 3
Stock and Commodity Market Operations 202 3
IPT 1002 Financial Engineering Project 0016 8
Total Credits 28