e-Masters in Quantitative Finance
and Risk Management

Transform Your Career with IIT Kanpur Pioneering Masters Degree in Quantitative Finance and Risk Management

No GATE Score required | Support for placement and facilitation of incubation at Startup Incubation and Innovation Centre, IIT Kanpur | Earn Masters Degree without leaving your job | Top Faculty from Department of Management Sciences (DoMS)

Applications closed

Please fill the form below for more information

Key Highlights of IIT Kanpur e-Masters Degree


Based on academic and professional background and test, interview where necessary. No GATE required.

High Impact Format

Weekend-only Live interactive sessions coupled with self-paced learning.

Executive Friendly Schedule

Learn while you earn, with the flexibility to complete the program between 1 - 3 years.

Career Advancement and Networking

Support for placement and facilitation of incubation at IIT Kanpur's Incubation Centre.

IIT Kanpur Alumni Status

Become an IIT Kanpur alumni with access to all the alumni privileges.

Credits Transfer

Waiver of upto 60 credits for higher education (MTech/PhD) at IIT Kanpur.

Admission Process


  • Register with Mobile Number
  • Submit Details
  • Remit Application Fee
  • Upload Documents


  • Application Review
  • Selection Test
  • Interview


Class start – January 2024

* Selection test differs for every programme

Course Overview

The e-Masters in Quantitative Finance and Risk Management program at IIT Kanpur is designed to equip students with the practical skills necessary to improve risk management practices in organizations. The course places a strong emphasis on the application of quantitative finance and provides hands-on experience through up to four projects. This program is ideal for aspiring traders and finance professionals looking to make a noticeable impact in alternative investment fields.

By earning a Masters in Quantitative Finance, working professionals will have the foundation they need for a successful career in this field. The program provides a unique opportunity to gain hands-on experience and develop the skills necessary to succeed in a rapidly changing industry.


  • Get e-Masters Degree from IIT Kanpur
  • Gain an in-depth understanding of the quantitative finance
  • Learn from the leading research faculty
  • Receive mentorship and career support from the IIT Kanpur placement cell
  • Incubation support for promising startup initiatives
  • Become a part of IIT Kanpur’s alumni network

Why Do Participants Choose The e-Masters Degree?

"I want to learn how financial decisions are made using quantitative research. I believe decisions have to be backed by numbers for accuracy and prudence. This e-Masters degree will help me develop the right skills in this direction."

"The program will help me upskill and update my knowledge as a Risk professional. In addition, it will enhance my domain knowledge and help me contribute to the risk management fraternity, financial organizations and the system at large."

Graduation Ceremony At
IIT Kanpur Campus

Meet Our Faculty Team

Maximize Your Potential in the Financial Markets with IIT Kanpur's World-Class Masters in Quantitative Finance and Risk Management

Suman Saurabh

FPM (Ph.D.), IIM Ahmedabad, Master of Business Economics, University of Delhi Bachelor of Technology, Electrical Engineering, IIT (BHU), Varanasi

Assistant Professor, Industrial Management and Engineering (IME), IIT Kanpur

Research Expertise: Corporate Finance, Payout Policy, Investments, Derivative Pricing

B.V. Phani

Ph.D., IIM Calcutta, BE (Mech), MVSR Engineering College, Osmania University

Head, Industrial Management and Engineering (IME), IIT Kanpur

Research Expertise: Head, Industrial Management and Engineering (IME), IIT Kanpur

Prabina Rajib

Ph.D. (Accounting and Finance), Vinod Gupta School of Management, MBA (Finance), Indian Institute of Technology, Kharagpur Master's Degree (Applied Economics), Utkal University

Professor and Former Dean, Vinod Gupta School of Management, IIT Kharagpur

Research Expertise: Commodity Derivative and Financial Markets

Shantanu Dutta

Ph.D. (Carleton), MBA (AIT), MEM, Indian Institute of Technology (IIT), Bachelor of Technology, Indian Institute of Technology (IIT)

Vice-Dean (Research). Telfer Fellow in Global Finance. Telfer School of Management, University of Ottawa, Canada

Research Expertise: Entrepreneurial Finance, M&A, International Financial Management, and Advanced Corporate Finance Applications

Amey Karkare

Ph.D. (CSE), IIT Bombay B.Tech. (CSE), IIT Kanpur

Associate Professor, Computer Science & Engineering, IIT Kanpur

Research Expertise: Blockchain and AI and Machine Learning

Piyush Pandey

Ph.D. (Finance), Department of Financial Studies, Delhi University Masters in Finance & Control (MFC), Department of Financial Studies, Delhi University, Delhi B.Tech Computer Engineering, IP University, Delhi

Assistant Professor, Shailesh J. Mehta School of Management, IIT Bombay, Mumbai

Research Expertise: Financial Derivatives, Investment Management, Market Microstructure, Banking

M. Thenmozhi

Ph.D. (Commerce), Department of Commerce, University of Madras M.Phil. (Commerce), Department of Commerce, University of Madras M. Com, Ethiraj College For Women, Chennai

Professor, Finance Department of Management Studies, IIT Madras

Research Expertise: Corporate Finance and Strategy, Financial Markets, Derivatives, Financial Time Series Modeling

Guest faculty from Industry

Amit Pathak

PGDM, IIM Calcutta B.Tech. IIT Kharagpur

Amit Pathak, an IIT Kharagpur, and IIM Calcutta alumnus is a senior financial markets professional with more than 10 years of experience in front office roles across global investment banks and indexing companies providing Smart Beta, Risk Premia and ESG solutions.

Vipin Chaudhary

PGDM, IIM Indore B.Tech., IIT Kanpur

Vipin Chaudhary, an IIT Kanpur, and IIM Indore alumnus has 15 years of Investment Banking experience in Derivatives Trading and Exotic Structuring, Data Analytics, Risk Management, Portfolio Valuations. His current area of interest is leveraging Machine Learning for solutions in risk, with a key focus on sustainability investment. He has been a visiting faculty with several IITs covering courses in Risk Management and Derivatives.

Prashant Gupta

PGDM, IIM Lucknow B.Tech., IIT Kanpur

Prashant Gupta, an IIT Kanpur and IIM Lucknow alumnus, has worked in multiple sectors for more than a decade, has also spent more than a decade in the startup sector - in the capacity of a founder, as an advisor, and as an investor. Prashant has spent a lot of time in Investing and Trading in Indian Stock Markets. In the last 3 years, he has also been sharing knowledge on Trading & Investing with friends, family, and with institutes.

Dr. Preet Deep Singh

FPM (Ph.D.), IIM Ahmedabad Professional Qualification: Company Secretary (CS) B.A. Economics and Political Science, Hindu College, Delhi University

Dr Preet Deep Singh is a Gold Medalist Finance PhD from IIM Ahmedabad. His research on trust in financial markets through government intervention led him to government consulting. He led the Startup India Programme for Government of India before leading the One District One Product initiative. He is currently the Chief Analytics Officer at Invest India.


Maximize Your Potential in the Financial Markets with IIT Kanpur's World-Class Masters in Quantitative Finance and Risk Management


e-Masters in Quantitative Finance and Risk Management has modules that are divided into Core (C) and Projects (P). The Programme has 10C+2P structure

Foundations of Economics and Finance

  • Overview of economics and finance
  • Monetary and Fiscal Policies
  • Understanding the open economy
  • Measuring the time value of money
  • Risk and return analysis
  • Fixed income securities

Introduction to Derivative Contracts

  • Overview
  • Forward and Futures
  • Risk Management
  • Options
  • Trading Strategies
  • Pricing of Options

Quantitative Methods in R and Python

  • Introduction
  • Linear regression
  • Time Series Analysis
  • Panel Data Modelling
  • Limited dependent variable model
  • Simulation methods

Security Analysis and Portfolio Management

  • Overview
  • Portfolio analysis
  • Asset Pricing Models
  • Market efficiency
  • Security Analysis and Valuation
  • Investment strategies

ML in Financial Modeling

  • Fundamentals of ML
  • Regularization and Basics of python
  • Understanding Model Fit
  • Ensemble Methods and LSTM
  • ML in Active Management
  • ML in Risk Management

Treasury and Credit Risk Management

  • Overview
  • Cash and liquidity management
  • Capital management and financing
  • Risk management
  • Credit risk in derivatives products
  • Settlement, netting and margins

Advanced Derivative Contracts and Pricing

  • Pricing and valuations of commodity futures
  • Pricing and valuations of non-storable commodities
  • Pricing and Valuations of Weather Derivatives
  • Pricing and Valuations of Carbon Derivatives
  • Pricing and Valuations of Freight, Property, and Payroll
  • Hedging and speculation with futures

Blockchain Applications in Finance

  • Introduction
  • Evolution and Genesis
  • Blockchain in Finance
  • Blockchain in Finance Application – 1
  • Application – 2
  • Wholesale P2P Trading

Technical Analysis in Finance

  • Introduction
  • Trend Recognition
  • Chart
  • Technical Indicators
  • Technical Indicators – Oscillators
  • Commodity Trading Strategies

Advanced Financial Modeling

  • Overview
  • Multivariate time-series models
  • Non-stationary time-series
  • Modelling dynamic volatilities
  • Switching models
  • Event-study analysis

Immersive Learning Format

Live Interactive Sessions

Online LIVE and self-paced sessions are delivered through AI-powered iPearl.ai as per the faculty availability


Apply learnings through projects while working in teams and establish a peer network

Online Examination

Final module-level exams will be conducted online

Campus Visit

Opportunity to meet experts and experience the IITK campus during campus visits


  • Bachelor’s Degree (4 years program) or a Masters Degree in the relevant discipline (Engineering/Science/Economics/MBA/CA etc.) with at least 55% marks or 5.5/10 CPI.
  • Minimum of 2 years of work experience (You need not be currently employed to be eligible).
  • Candidates with relevant experience will be preferred.

Fees Structure

Application fee ₹1500 (to be paid during application submission)

Fee structure for candidates opting to complete the program in 1 year.


Registration Fee

To be paid within 1 week of selection

₹ 40,000

Admission Fee

To be paid to complete enrollment

₹ 1,60,000

Module Fee

To be paid at the beginning of every quarter based on no. of modules selected (Total 12 Modules)

₹ 5,40,000

₹45,000 per module

Quarter Fee*

To be paid at the beginning of every quarter


₹15,000 per quarter

Total Fee₹ 8,00,000

*For every additional quarter, fees of Rs 15,000 will be applicable. For Example

  • Candidates opting to complete the program in 5 quarters need to pay an additional fee of ₹15,000
  • Candidates opting to complete the program in 11 quarters need to pay an additional fee of ₹1,05,000
  • All other fees remain the same.
  • Fee paid are non-refundable and non-transferable

Education loan avail from leading banks and NBFCs

EMI Option available

Frequently Asked Questions

The program curriculum spans 10 Core Modules and 2 Projects.

Module 1: Foundations of Economics and Finance

Develop a firm theoretical understanding of economic and finance concepts, their significance and their application in equity and derivatives markets.

Module 2: Introduction to Derivative Contracts

Gain an in-depth insight into the pricing and valuation of derivative contracts and the different commodities and financial instruments – Forward, Futures, and Options.

Module 3: Quantitative Methods in R and Python

Learn to analyze data using different quantitative methods – Linear Regression, Time Series Analysis, Panel Data Modelling, Limited Dependent Variable Model, and Simulation Methods. In addition, learn about R and Python concepts and their application in implementing financial models.

Module 4: Security Analysis and Portfolio Management

Understand the concept of Portfolio Management and Asset Pricing Models. Learn about formulating investment strategies, including valuation of equity and fixed income securities. In addition, know about Security Analysis and Valuation, assessing return anomalies to timely boost market efficiency.

Module 5: ML in Financial Modeling

Understand the big data problems in finance. Learn about Machine Learning (ML) and the different models used for applying ML in quantitative finance. Also, get introduced to ML applications in risk management.

Module 6: Treasury and Credit Risk Management

Identify different types of risks faced by firms. Learn about the advanced treatments of varying risk management practices and credit risk in derivatives products.

Module 7: Advanced Derivative Contracts and Pricing

Gain a detailed understanding of derivatives contracts with a balanced exposure to futures and options. Besides, learning about the valuations of forwards and futures from the perspectives of price discovery and risk management.

Module 8: Blockchain Applications in Finance

An introductory module that provides an overview of blockchain technology and its applications. Supported by illustrations and use-cases for effective learnings.

Module 9: Technical Analysis in Finance

Learn about various methods of detecting and identifying the trends and develop trading strategies.

Module 10: Advanced Financial Modeling

Get an overview of financial modeling in equity and derivatives markets. Explore the tools and techniques required for analyzing the financial data of different frequencies.

A tentative schedule will be shared closer to the program start date.

About IIT Kanpur

Established in 1959 by the Government of India, Indian Institute of Technology Kanpur (IIT Kanpur) is a globally acclaimed university for world-class education and research in science, engineering, management and humanities. We aim to provide leadership in technological innovation for the growth of India.

  • Ranked 4th by NIRF in the Engineering category, 2023
  • Built on world-class academic research culture
  • Offers various undergraduate, post-graduate, integrated, and research programs in the field of engineering, science, management, and design

State-of-the-Art Digital Learning Platform

The e-Masters Program by IIT Kanpur will be delivered on iPearl.ai, a State-of-the-Art digital learning platform powered by TalentSprint. iPearl.ai, highly rated for its user experience, is a direct-to-device platform that works seamlessly on any internet-connected device and provides a single sign-on experience for all your learning needs, including recorded videos, reading material, live interactive sessions, assignments, quizzes, discussion forums, virtual lounges and more.

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