Selection list of July 2022 cohort is announced View List

eMasters in Quantitative Finance
and Risk Management

Learn to Derive Powerful Insights with Risk Management

  • From the Department of Industrial and Management Engineering (IME), Economic Sciences (ECO) and Computer Sciences and Engineering (CSE), IIT Kanpur
  • World-class faculty and
    researchers from IIT Kanpur
  • Flexible executive-friendly with an
    option to complete between 1 - 3 years
  • IIT Kanpur
    Alumni Benefits

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eMasters Highlights

  • Executive Friendly Schedule Learn while you earn, with a flexibility to complete the program between 1 to 3 years.
  • 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.
  • Career Advancement and Networking Access to IIT Kanpur placement cell, incubation cell and alumni network.
  • High Impact Format Weekend-only Live interactive sessions coupled with self-paced learning.
  • GATE score not required Selection will be based on the academic and professional background.

Admission Process

Application Closed

  • Application
    Register with Mobile Number
    Submit Details
    Remit Application Fee
    Upload Documents
  • Selection
    Application Review
    Selection Test
    Interview
  • Admission

About eMasters in Quantitative Finance and Risk Management

The program has a strong focus on the application of Quantitative Finance in improving risk management practices in concerned organizations. It offers an opportunity to work on a maximum of four projects which provide hands-on skills in Quantitative Finance and Risk Management. The program is beneficial for budding traders and finance enthusiasts who are planning to make a visible impact in the alternative investment segments.

Faculty

Learn from the experts working at the forefront of cutting- edge research and technology in finance, economics and risk management.

  • Wasim Ahmad
    Associate Professor, Department of Economic Sciences, IIT Kanpur
    Ph.D., Delhi University
    MA Economics, University of Hyderabad
    BA Economics (H), Aligarh Muslim University, Aligarh

    Commodity Derivatives, Financial Econometrics and Applied Econometrics
  • Suman Saurabh
    Assistant Professor, Industrial Management and Engineering (IME), 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 (IME), 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, Canada Ph.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

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.

Curriculum

A well-researched real-world curriculum by IIT Kanpur’s subject matter experts that fosters hands-on learning and helps you master the desired capabilities by combining deep formal rigor and an intense practical approach.

Modules

eMasters 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

  • Hybrid Classes
  • Examination
  • Campus Visit
  • Weekly access to self-paced content including recorded videos and reading material
  • Weekend-only live interactive sessions by faculty and teaching assistants
  • Interaction and networking with Experienced Professionals
  • Final module-level exams to be conducted across major cities in India
  • IIT Kanpur campus visit (optional) to meet faculty and experience the campus

Outcomes

  • 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

Eligibility

  • 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.

Program Fee

Details Payment Schedule Amount
Application Fee During Application Submission ₹1,500
Program Registration Fee
To Block Your Seat
Within 1 Week of Selection ₹40,000
Program Registration Fee
To Complete Your Registration
As per the Selection Letter ₹1,60,000
Quarter Registration Fee
For 1st Quarter
As per the Selection Letter ₹15,000 Per Quarter
Module Fee
For 1st Quarter Modules
As per the Selection Letter ₹45,000 Per Module

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 among top engineering colleges by NIRF 2021
  • 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 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.