When will I have access to the lectures and assignments?

You will have access to your onboarding course and all available self-paced content for this Certificate immediately after you enroll and pay. Once the first course officially begins, you’ll be able to ask questions to the teaching team, get feedback on your projects, and work with other peers on group assignments.

What will I get if I pay for this programme?

You will get access to all Certificate courses. You will also get feedback from the teaching team on your projects. You’ll be working with an elite network of peers towards your goals.

Can I take this programme for free?

No. The Certificate is available only to learners who have paid for the programme.

What is the refund policy?

You will have 2 weeks after the start of the first course session to secure a refund.

Is financial assistance available?

Financial assistance is not available at this time for Certificates.

When are the classes starting?

Classes have started on 30 July, 2022. However you can still enrol and start learning today!

Will the certificate be issued by IIT Roorkee?

Yes! The certificate will be directly issued by Indian Institute of Technology Roorkee.

What are the available payment modes?‎

Applicants from India can pay using debit or credit card, net banking, or through EMI. Applicants from outside of India, can pay through debit or credit cards and Paypal.

Does the programme offer a global curriculum?

Yes, the programme is designed to cater to the needs of global employment opportunities. It covers some of the most advanced and sought-after topics in machine learning applications in the domain of finance.

Will this programme be useful for senior professionals in the field of finance?

Yes. Senior professioanls can leverage this programme to upgrade to the current state of knowledge and enrich their professional experience.

What software will I need for this programme?

All software will be either provided or will be open source for ex. R Studio and Python.

Certificate

Post Graduate Certificate in Machine Learning for Finance

Learn to apply machine learning algorithms in the field of finance to leverage computational models and drive better analyses and decision-making. Advance your career by learning in-demand financial risk management skills and hands-on application of machine learning algorithms with Python and R to increase efficiency, drive organisational growth, and make a positive business impact.

Enrolments closing shortly.

6 months

8-10 hours per week. May vary by student.

Rs. 90,000 / $1,200

Explore flexible payment options.

100% online

+Live classes and feedback from faculty

No application required

Reputation for excellence

Learn from IIT Roorkee, ranked as a leading university in higher technological education, basic and applied research, and engineering.

Emphasis on in-demand skills

Build a unique skill set focused on applying machine learning and AI to the finance domain.

Live and interactive learning experience

Interact with instructors and peers to build new skills, share knowledge, and grow your professional network.

Program description

Learn to apply machine learning and artificial intelligence models in the finance domain.

Required background

No prior coding experience is required to successfully complete this programme. You should, however, have basic knowledge of mathematics. The course contains reading material and lectures on selected topics which bridge the gap between high school mathematics and the minimum level required to understand and use machine learning algorithms. Knowledge of basic linear algebra, calculus, and statistics will be helpful, and some experience with spreadsheets is recommended.

Webinars

Attend live webinar sessions to learn more about this programme with IIT Roorkee's faculty.

In case you missed it, the Q&A session with the faculty on July 23 is now available to watch. Learn more about the certificate,the curriculum, and learning outcomes directly from the faculty in this video.

Skills you will gain

Python and R Programming
Machine Learning
Wealth Management
Financial Risk Management
Algorithmic Portfolio Management
Trading Strategies
Security Market Prediction

Overview

This programme is ideal for analysts, traders, brokers, consultants and other industry professionals who are seeking the adoption of artificial intelligence, machine learning, and data science in their work environments, and want to learn the essential skills to keep pace with these technological advances.

This programme aims to demonstrate the applications of AI-based models in the finance domain. This includes the application of Python programming in solving real-life wealth management problems to improve investment decisions with AI.

In this programme, you’ll build a solid practical foundation in the finance domain and learn how to deploy AI and machine learning-based models to solve a variety of problems in the finance domain, including wealth-management, algorithmic trading, investment banking, and more.

As you advance through the programme, you’ll learn:

Fundamentals of financial risk management and tackle financial problems
Basics of Python and R programming
Application of artificial intelligence and machine learning-based models to the finance domain.
Application of these skills in the fields of financial risk management, investments, algorithmic trading, wealth management, sentiment analysis and more, through a hands-on, project based approach.

6 month programme with 5 courses and 5 projects

Course 1 of 5

Programming for AI and Data Analytics

What you will learn

Python & R
Data exploration tasks with Pandas and R
Basic inferential statistics results
Visualisation using Matplotlib, Pandas, Seaborn, and R

Project(s)

Basic visual and statistical analysis of a dataset

In this project, you will learn how to apply Python and R to work with datasets and produce descriptive statistics and relevant plots, as well as charts and other tabular results.

Overview

In this course, you will build essential Python and R skills, the most important programming languages in artificial intelligence and data science. You’ll gain familiarity with the coding environments, the basic syntax and semantics of the languages, and different libraries of Python and R. You’ll also learn to perform data exploration tasks and interpret basic inferential statistics results using Python and R. Finally, you’ll be able to work on datasets and represent data using different types of charts and plots.

Course 2 of 5

Corporate Finance and Risk Management

What you will learn

Cash flow discounting
Risk and return framework
Cost of capital
Market efficiency of financial markets
Fundamentals of valuation

Project(s)

Fundamental valuation of a company

After completing this project, you will be able to understand and explain the concept of risk-return framework in corporate finance, explain the concept of cash flow discounting and cost of capital, carry out the fundamental valuation from cash flows using a spreadsheet, and understand the concept of market efficiency and its implication for stakeholders (e.g. investors, regulators, policy makers).

Overview

In this course, you will learn and develop the necessary knowledge and skills on the basic and advanced topics related to corporate finance and risk management. You will learn the basics of cash flow discounting and will be able to conduct the valuation of a set of given cash flows using MS Excel. You will be able to understand and apply the concept of risk in estimating the cost of capital for risky projects. You will be able to compare the profitability of different projects using criteria such as NPV, IRR, Payback period, etc. Lastly, you will gain a comprehensive understanding of the concept of market efficiency and its implications for financial markets.

Course 3 of 5

Wealth Management and Portfolio Investing

What you will learn

Risk-return framework in financial markets
Portfolio optimization with two securities and multiple securities
Single index and multi-index models
Capital asset pricing models and arbitrage pricing theory
Portfolio performance evaluation

Project(s)

Analysis of the securities selected from any one of the major financial markets and construction of an efficient portfolio

In this project, you will learn how to understand and explain the fundamentals of portfolio optimization and risk diversification, compute expected returns, covariance, correlation, and various measures of risk using a spreadsheet, conduct hands-on portfolio modelling using a spreadsheet, conduct portfolio performance evaluation and compare across portfolios using MS Excel.

Overview

In this course, you will learn the basic and advanced concepts related to wealth management and portfolio investing. Through hands-on practice, you’ll expand your knowledge of essential topics such as portfolio optimization, asset pricing models, and portfolio performance evaluation. You will also be able to conduct portfolio analysis and optimization using MS Excel, and compare the portfolios for their risk-adjusted performance.

Course 4 of 5

Machine Learning and AI

What you will learn

Machine learning concepts and lifecycle of an ML project
Linear & logistic regressions
Linear & kernel support vector machines (SVM)
Clustering: K-means
Decision trees & random forests
Neural networks

Project(s)

Your first AI model prototype for an investment problem

In this project, you will learn how to apply AI and ML concepts related to linear regression, logistic regression, SVM, Decision Trees and Random Forests, and Neural Networks, as well as modelling of various AI and ML algorithms using Python.

Overview

In this course, you will learn machine learning concepts and algorithms. This course will cover applications of machine learning concepts and popular supervised and unsupervised learning techniques.

Course 5 of 5

Algorithmic Portfolio Management

What you will learn

Technical Trading Strategies
Basics of algorithmic trading
Introduction to time-series modelling
Application of AI and ML in security price prediction
Application of of AI & ML in portfolio optimization
Security market prediction using advanced AI & ML algorithms

Project(s)

Predicting volatility of securities

In this project, you will learn how to apply Financial Markets concepts to real-world data and apply AI and ML concepts to portfolio management. You will apply the time-series concepts in modelling security prices and construction of portfolios.

Overview

In this course, you will learn the basics of algorithmic portfolio management and technical trading strategies. You will be introduced to the concepts related to time-series modelling. You’ll gain hands-on experience and working knowledge on topics related to security price forecasting and volatility prediction. You will be able to apply the selected ML algorithms to construct high-performance portfolios.

Instructors

Frequently asked questions

If you need further assistance, please email mlfin@iitr.ac.in with any questions.

Post Graduate Certificate in Machine Learning for Finance

Enrolments closing shortly.

6 months

Rs. 90,000 / $1,200

100% online

No application required

Reputation for excellence

Emphasis on in-demand skills

Live and interactive learning experience

Program description

Required background

Webinars

Skills you will gain

Overview

6 month programme with 5 courses and 5 projects

Programming for AI and Data Analytics

What you will learn

Project(s)

Overview

Corporate Finance and Risk Management

What you will learn

Project(s)

Overview

Wealth Management and Portfolio Investing

What you will learn

Project(s)

Overview

Machine Learning and AI

What you will learn

Project(s)

Overview

Algorithmic Portfolio Management

What you will learn

Project(s)

Overview

Instructors

Frequently asked questions

When will I have access to the lectures and assignments? ‎

What will I get if I pay for this programme? ‎

Can I take this programme for free? ‎

What is the refund policy? ‎

Is financial assistance available?‎

When are the classes starting?‎

Will the certificate be issued by IIT Roorkee?‎

What are the available payment modes?‎‎

Does the programme offer a global curriculum?‎

Will this programme be useful for senior professionals in the field of finance?‎

What software will I need for this programme?‎

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