Executive-Friendly Program | High Impact Format

Key Highlights of IIT Kanpur Masters Degree

  • SelectionBased 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

  • Application
    Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection
    Selection Test Starts March 30th
    Application Review
    Selection Test*
  • Admission

Class Start - July 2024

* Selection test differs for every programme

e-Masters in Quantitative Finance and Risk Management Overview

The e-Masters in Quantitative Finance and Risk Management program at IIT Kanpur is from the Department of Management Sciences (DoMS), formerly known as Department of Industrial and Management Engineering (IME). It 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.

Graduation Ceremony at IIT Kanpur Campus


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

Why do participants choose the eMasters 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 eMasters degree will help me develop the right skills in this direction."
    Pranjal, Working in a Startup with 2 years of experience
  • "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."
    Dhiraj, AGM at a National Bank with 18 years of experience

Hear from our Program Alumni


  • Suman Saurabh
    Assistant Professor, Industrial Management and Engineering (DoMS), IIT Kanpur FPM (Ph.D.), IIM Ahmedabad, Master of Business Economics, University of Delhi
    Bachelor of Technology, Electrical Engineering, IIT (BHU), Varanasi

    Corporate Finance, Payout Policy, Investments, Derivative Pricing
  • B.V. Phani
    Head, Industrial Management and
    Engineering (DoMS), IIT Kanpur
    Ph.D., IIM Calcutta, BE (Mech), MVSR Engineering College, Osmania University

    Finance, Innovation and Entrepreneurship
  • Prabina Rajib
    Professor and Former Dean, Vinod Gupta School of Management, IIT Kharagpur Ph.D. (Accounting and Finance), Vinod Gupta School of Management, MBA (Finance), Indian Institute of Technology, Kharagpur
    Master's Degree (Applied Economics), Utkal University

    Commodity Derivative and Financial Markets

  • Shantanu Dutta
    Vice-Dean (Research). Telfer Fellow in Global Finance. Telfer School of Management, University of Ottawa, CanadaPh.D. (Carleton), MBA (AIT), MEM, Indian Institute of Technology (IIT), Bachelor of Technology, Indian Institute of Technology (IIT)

    Entrepreneurial Finance, M&A, International Financial Management, and Advanced Corporate Finance Applications
  • Amey Karkare
    Associate Professor, Computer Science & Engineering, IIT Kanpur Ph.D. (CSE), IIT Bombay
    B.Tech. (CSE), IIT Kanpur

    Blockchain and AI and Machine Learning
  • Piyush Pandey
    Assistant Professor, Shailesh J. Mehta School of Management, IIT Bombay, Mumbai 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

    Financial Derivatives, Investment Management, Market Microstructure, Banking
  • M. Thenmozhi
    Professor, Finance Department of Management Studies, IIT Madras 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

    Corporate Finance and Strategy, Financial Markets, Derivatives, Financial Time Series Modeling
  • Parvati Neelakantan
    Ph.D. (UCD Michael Smurfit Graduate Business School, Dublin)
    Assistant Professor, Department of Management Sciences

    Research Expertise: Financial Econometrics and Machine Learning
  • Harshal Rajan Mulay
    PhD in Finance and Control, IIM Calcutta
    Assistant Professor of Finance, Department of Management Sciences

    Research Expertise: Law and Finance, Culture and Finance, Creditor Rights, Banking, Corporate Finance
  • Abhinava Tripathi
    Ph.D., Finance and Accounting, IIM Lucknow
    Assistant Professor, By Department of Management Sciences (DoMS)

    Research Expertise: Financial Markets, Market microstructure, Liquidity, Market Efficiency, Banking, Corporate Banking, Credit risk management in Banking, Project Finance, Investment Management, Derivatives, Security Analysis and Portfolio Management, Corporate Finance, Financial Management, Corporate Valuation and Restructuring, R programming: Quantitative applications in Finance with R, Accounting, Financial Accounting, Management Accounting
  • Raghu Nandan Sengupta
    Fellow in Management (IIM Calcutta, INDIA)
    Professor, Department of Management Sciences

    Research Expertise: Sequential Estimation, Statistical and Mathematical Reliability Theory, Risk Analysis, Optimization Techniques in Finance, Meta Heuristic Techniques, Reliability based Optimization, Robust Optimization

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


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

  • 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

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

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

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

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

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

  • 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

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

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

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

  • Project - 1
  • Project - 2

Detailed Curriculum

Immersive Learning Format

  • Live Interactive Sessions
  • Projects
  • Online Examination
  • Campus Visit
  • Online LIVE and self-paced sessions are delivered
    through AI-powered iPearl.ai
  • Live interaction as per the
    faculty availability
  • Apply learnings through projects while working in teams and
    establish a peer network
  • Final module-level exams will be
    conducted online
  • Opportunity to meet experts and experience the IITK campus
    during campus visits


  • Bachelor's Degree (3/4 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.

e-Masters in Quantitative Finance and Risk Management: Fees

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

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

Details Amount
Registration Fee
To be paid within 1 week of selection
Admission Fee
To be paid to complete enrollment
Module Fee
To be paid at the beginning of every quarter based on no. of modules selected
(Total 12 Modules)
₹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.

Fees paid are non-refundable(after a certain time period) and non-transferable.

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 1st in Innovation, 4th in Engineering and 5th in Overall Category by NIRF 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
IIT Kanpur Online Masters Degree Courses

State-of-the-Art Digital Learning Platform

The eMasters 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.

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.


Project -1

Project -2

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