IIT Kanpur's e-Masters Degree Programs For Finance Professionals: Fees and Last Date to Apply

Module Name

Topic

Description

Core Modules

Pricing

This module focuses on different concepts of pricing including cost, demand curves, and how prices affect consumer behavior and business strategies. It also covers topics like monopoly, regulation, and price discrimination. This module provides an introduction to economic analysis tools, with a special emphasis on understanding pricing strategies and their implications.

Economic and Financial Data Analysis

Students will be introduced to statistical methods and their use in analyzing economic and financial data. Basic statistics to more complex concepts like regression analysis and time series are covered in the module with practical training on using statistical software like R for real-world applications.

Introduction to Finance and Accounting

The module helps in gaining a basic understanding of finance and accounting principles, preparing participants for more advanced topics. Key concepts include the time value of money, risk and return analysis, and an overview of financial instruments like fixed income securities and derivatives, alongside financial statement analysis and credit risk assessment.

Game Theory and Strategy

Students learn about strategic decision-making in various scenarios, using game theory as a framework. This module covers different types of games and equilibrium concepts, with applications in business and public policy to understand competitive and cooperative strategies.

Money and Banking

This module offers a comprehensive overview of money market instruments and banking operations. It will cover topics including the role of money, banking management principles, and the impact of interest rates on banking and monetary policy.

Global Economy and International Finance

Students learn about the dynamics of international financial markets and how global factors influence economic models. The module will cover topics including globalization, foreign exchange markets, and the mechanisms of international trade and finance, such as exchange rate determination and interest rate parity.

Specialization Modules

Applied Macroeconomics

The module helps students in learning about macroeconomic analysis tools to understand the impact of various domestic and international economic policies. Topics include inflation, monetary and fiscal policy, and the economic challenges posed by pandemics, providing insights into current macroeconomic conditions.

Applied Corporate Finance

It focuses on the practical application of corporate finance in making investment decisions, covering topics from capital budgeting to stock valuation and the cost of capital, with an emphasis on understanding the perspectives of investors and firms.

Economics of Platforms

The module covers the economic principles underlying digital platforms like Amazon and Netflix. It highlights their significance in today's economy and their impact on public policy and business strategies.

Elective Modules

Machine Learning Applications

Students are introduced to machine learning techniques and their application to economic datasets, providing insights into how computational tools can enhance economic analysis.

Advanced Financial Econometrics

The module covers advanced econometric models and their application in finance, including volatility models and event-study analysis. The aim is to improve investment decisions and policy design.

Probability and Stochastic Systems

Students learn about probability theory and its applications in understanding randomness and uncertainty in various contexts, emphasizing technical problem-solving and real-world applications.

Public Policy

The module provides an overview of government roles in the economy and the tools used to evaluate the effectiveness of public policies, including data analysis and statistical methods.

Contemporary Issues in the Indian Economy

This module covers details of macroeconomic indicators of the Indian economy, analyzing fiscal policies, sectoral contributions, and monetary developments. Students will learn about socio-economic challenges and opportunities.

Program Evaluation

Students will learn about the methodologies to evaluate public policies, focusing on tools and techniques relevant to policymakers and industry professionals involved in policy implementation and assessment.

Topic

Description

Banks and Financial Institutions

The module covers the insights of the operations of banks and financial institutions and their significant role in supporting both global and domestic economies. The module covers the evolution of financial institutions, their functions, the regulatory framework they operate under, an overview of fiscal policies, foreign trade, and a look at financial institutions in India.

Capital Markets and Financial Products

This module helps in gaining a comprehensive understanding of the structure of capital and financial markets along with the various products these markets offer. Topics include the organization of equity, debt, forex, commodities, F&O markets, mutual funds, insurance, and pension funds, with a focus on the Indian capital market landscape.

Financial Big Data Analytics

Students will learn about the importance of data analytics in finance, covering descriptive, predictive, and prescriptive analytics and their role in addressing business challenges. The module also delves into text analytics and big data analytics' applications in banking problem-solving.

Investment Banking

The module focuses on the practical aspects of investment banking, including analytical skills, financial analysis, and valuation methods. It covers the equity, debt, and advisory dimensions of capital markets essential for the investment banking sector.

AI, Machine Learning, and Deep Learning

Complexities of machine learning (ML) and deep learning (DL) models in addressing finance-related issues are covered in the module. Students will gain an in-depth understanding of natural language processing (NLP), reinforcement learning through case studies. 

Blockchain and Distributed Ledger Technologies

The module covers the transformative impact of blockchain technology, focusing on its origins, applications, and distinguishing features of public and private distributed ledger technologies. The module also discusses the roles and risks associated with cryptocurrencies, highlighting blockchain's potential for enhancing transparency, efficiency, and security.

IT Platforms, Cloud Computing, and IoT

Students are introduced to cloud computing and IoT, exploring architectures, virtualization's role in cloud computing, and the delivery and deployment models of cloud services. They will also learn about the selection of appropriate sensors and communication protocols for IoT systems.

Cyber Security

Students will develop a comprehensive understanding of cyber-attack strategies and defence mechanisms, including hands-on experience with various cybersecurity tools. Topics include cryptography, vulnerability analysis, penetration testing, organizational security measures, and the use of network security tools like firewalls, VPNs, and intrusion detection systems.

Open Banking in a Mobile-First, Cloud-First World

The module introduces students to the platforms and operational aspects driving the neo-banking ecosystem, focusing on Open APIs, mobile banking, and recent advancements in FinTech through AR/VR/MR technologies.

Extreme Automation & Programming FinTech Applications

It explores the use of robotic process automation (RPA) / digital process automation (DPA) in banking, including customer onboarding, KYC compliance, and identifying suspicious transactions. The module provides exposure to popular RPA/DPA platforms like UIPath, Pega, and Automation Anywhere, highlighting how automation can enhance productivity and customer engagement by streamlining repetitive tasks with bots.

Module Name

Description

Foundations of Economics and Finance

Through this module, students will gain a comprehensive understanding of principles of Finance and Economics. It emphasizes on the relevance and application in the equity and derivatives markets.

Introduction to Derivative Contracts

Detailed understanding of the mechanisms of pricing and valuing derivative contracts, covering a range of commodities and financial instruments such as Forwards, Futures, and Options.

Quantitative Methods in R and Python

The module will focus on the application of various quantitative methods for data analysis, including Linear Regression and Time Series Analysis, alongside an introduction to R and Python for financial modelling.

Security Analysis and Portfolio Management

Students will learn the fundamentals of Portfolio Management and Asset Pricing Models, including strategies for investment valuation of equities and fixed income securities. The module also covers Security Analysis and Valuation to enhance market efficiency by identifying return anomalies.

ML in Financial Modeling

The module covers the challenges of big data in finance, introducing Machine Learning (ML) models and their application in quantitative finance, with a focus on risk management.

Treasury and Credit Risk Management

It examines the various risks that firms face, delving into advanced risk management practices and the intricacies of credit risk in derivatives products.

Advanced Derivative Contracts and Pricing

Students learn about derivative contracts, focusing on futures and options, and discuss the valuation of forward contracts and futures from the context of price discovery and risk management.

Blockchain Applications in Finance

Students are introduced to blockchain technology and its financial applications. It is supported by practical examples and use-cases to facilitate understanding.

Technical Analysis in Finance

Explores various methods for detecting market trends and developing trading strategies, emphasizing the application of technical analysis.

Advanced Financial Modeling

Offers an overview of financial modelling techniques in the equity and derivatives markets, highlighting the tools and methods required for analyzing financial data of varying frequencies.

Module

Description

Business Environment and Strategy

Through this module, students will learn about Macroeconomics, Open Economy, Business Environment, Strategic Management, Strategy Formulation and Case Analysis.

Foundations of Finance

Time value of Money, Derivatives, Fixed Income Securities, Risk and Return analysis as well as Financial Analysis Techniques will be covered in this module.

Data Analysis in R and Python

Students will be introduced to the fundamentals of Python and R. Along with that, concepts of linear regression, panel data modelling, time series modelling and cross-sectional data modelling will also be covered.

Climate Change Finance and Investment

This module will discuss the political economy of global environment in detail. The role of the government as well as financial institutions in adapting to climate change will also be discussed.

Particulars

Date

Fees

Registration Fee

To be paid within 1 week of selection

₹40,000

Admission Fee

To be paid during enrollment completion

₹1,60,000

Module Fee

To be paid at the beginning of each quarter based on the number of modules selected (There are a total of 12 modules)

₹5,40,000

(₹45,000/module)

Quarter Fee*

To be paid at the beginning of every quarter

₹60,000

(₹15,000/quarter)

Total

₹8,00,000