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.
Learn from the experts working at the forefront of cutting- edge research and technology in finance, economics and risk management.
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.
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
Forward and Futures
Pricing of Options
Time Series Analysis
Panel Data Modelling
Limited dependent variable model
Asset Pricing Models
Security Analysis and Valuation
Fundamentals of ML
Regularization and Basics of python
Understanding Model Fit
Ensemble Methods and LSTM
ML in Active Management
ML in Risk Management
Cash and liquidity management
Capital management and financing
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
Evolution and Genesis
Blockchain in Finance
Blockchain in Finance Application – 1
Application – 2
Wholesale P2P Trading
Technical Indicators - Oscillators
Commodity Trading Strategies
Multivariate time-series models
Modelling dynamic volatilities
Application fee ₹1500 (to be paid during application submission)
Fee structure for candidates opting to complete the program in 1 year.
To be paid within 1 week of selection
To be paid to complete enrollment
To be paid at the beginning of every quarter based on no. of modules selected
(Total 12 Modules)
₹45,000 per module
To be paid at the beginning of every quarter
₹15,000 per quarter
*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.
Fee paid are non-refundable and non-transferable
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.
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.
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.