Learn to navigate through Disruptive Financial Markets
e-Masters in Quantitative Finance and Risk Management
Transform Your Career with IIT Kanpur Pioneering Masters Degree in Quantitative Finance and Risk Management
Eligibility
- Bachelor's Degree with min 5.5/10 CPI
- Min. 2 years of total work-ex
- Candidates with relevant experience will be preferred.
Outcomes
- Degree from IIT Kanpur
- Quantitative Finance in Depth
- Leading Industrial Faculty
- Placements from IIT Kanpur
- Incubation support for Startups
- Access to IIT Kanpur's Alumni Network
Admission Process
Final Round of Applications Closing on April 30th
Application
- Register with Mobile Number
- Submit Details
- Remit Application Fee
- Upload Documents
Selection
- Application Review
- Selection Test
- Interview
Admission
Class Start – July 2024
* Selection test differs for every programme
e-Masters in Quantitative Finance and Risk Management: Fees
- Application Fee = ₹1500
| Details | Amount |
|---|---|
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 | ₹60,000 (₹15,000 per quarter) |
| Total Fee | ₹ 8,00,000 |
*For every additional quarter, fees of Rs 15,000 will be applicable.
- 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.
- Education Loan from Leading Banks at low Interest Rates
- EMI Options Available
- Partial Fee-waiver available
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
Abhishek Kumar
Sr. Software Developer
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
Key Highlights of IIT Kanpur e-Masters Degree
- IIT Kanpur Alumni Status
- Waiver of credits for higher degree education at IITK
- Executive Friendly Schedule
- Career Advancement and Networking
- No GATE Score required
- Less effort, More Impact
Meet Our Faculty Team
Maximize Your Potential in the Financial Markets with IIT Kanpur’s World-Class Masters in Quantitative Finance and Risk Management
Guest faculty from Industry
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.
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
State-of-the-Art Digital Learning Platform
Curriculum
Maximize Your Potential in the Financial Markets with IIT Kanpur's World-Class Masters in Quantitative Finance and Risk Management
Module
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
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
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.