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Integrated Program in Finance and Financial Technologies (IPFT – Part Time)

India’s only industry focussed, comprehensive part-time online finance program.

About the Program

Hero Vired’s Integrated Program in Finance and Financial Technologies is built to help you find your niche as a financial analyst and become the one who can predict the trends of tomorrow. With this course, you get the headstart you need to become a game-changer in the world of Finance and Financial Technologies.

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Live Online Classes

Program Delivery

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11 Months

Program Duration

“Program

August, 2021

Program Start Date

Program Fees” width= INR 4,00,000+ Applicable Taxes

Program Fees (0% EMIs Available*)

Undergraduate Degree” width=

UG Degree

Program Eligibility

     

    Program Snapshots

    Program Snapshot 1

    Experience the very first comprehensive finance, quantitative finance and financial technology program

    Program Snapshot 3

    Learn the entire gamut of finance from basic accounting to the global financial markets

    Program Snapshot 2

    Understand economic impacts and financial technologies including analytics, AI-ML, blockchain, cryptocurrencies, non traditional data sources

    This is for You

    Your choice

    Are you interested in a career in high finance, quantitative finance, or fintech, who might come from a finance, economics, science, technology or mathematics background? This program is for you!

    Your opportunity

    In India, an education in Finance and Technology can lead you to work as an Equity Research Analyst, Financial Analyst, Investments Analyst, Marketing Manager, Investment Banker, Business Analyst, Market Analyst, Operations Manager, and more.

    Your domain

    If you want to develop razor-sharp analytical ability and stellar interpersonal skills, plus sharp understanding of industry-standard software, this program is for you!

    Your eligibility

    If you have the ability to communicate, financial reporting skills, good analytical ability, problem solving skills, good knowledge of IT software, management experience, an interest in commercial acumen and the capacity for innovation, this program is for you!

    Program Curriculum

    This is what you will learn from the program

    Foundations of Modern Finance I

    About the Module:

    It provides a rigorous and comprehensive introduction to the fundamentals of modern finance and their applications to business challenges in valuation, investments, and corporate financial decisions under a unified framework.

     

    Learning Outcomes:

    Valuation of fixed income securities and common stocks.
    Risk analysis, the Arbitrage Pricing Theory (APT), and the efficient market hypothesis.
    Introduction to corporate finance and capital budgeting.
    Valuation of derivative securities.
    Portfolio theory and the Capital Asset Pricing Model (CAPM).
    Corporate financial decisions.
    Real options, capital structure, payout policy, corporate bonds.
    Interaction between investment and financing decisions.

    Foundations of Modern Finance II

    About the Module:

    We build on the core set of basic principles taught in the first part, and continue to develop a powerful and general framework for making financial decisions in business and in personal financial planning. We introduce financial derivative securities, and their valuation models, discuss the capital structure decision of firms, and explore the interaction between investing and financing.

     

    Learning Outcomes:

    Forwards and futures.
    Options.
    Portfolio theory.
    Capital Asset Pricing Model (CAPM).
    Capital budgeting and real options.
    Financing/Capital structure.
    Interaction between investing and financing.
    Payout and risk management.

    Financial Accounting

    About the Module:

    It provides a rigorous introduction to the principles of financial accounting. We focus on the preparation and analysis of financial statements, and on why financial statements take the form they do. We cover the basic structure of financial reports and the process of recording transactions. We will also learn how investors, creditors, and other users analyze financial statements to assess corporate performance. The course focuses on using financial statements to gather inputs to valuation models and for corporate finance decisions.

     

    Learning Outcomes:

    Introduction, accrual accounting, balance sheet/income statement, allowance accounting, and revenue recognition.
    Inventory/COGS, depreciation/property, plant, and equipment, statement of cash flows, introduction to financial statement analysis.
    Marketable securities, accounting for banks, intangible assets, and acquisitions.
    Income taxes, long-term debt, leases, shareholders’ equity, ethics, and conclusion.

    Financial Modelling (in Excel)

    About the Module:

    This module focuses on creating a variety of valuation and investment banking models using MS Excel.

     

    Learning Outcomes:

    Time Value of Money (NPV and IRR).
    How to build an Investment Banking equities valuation model from scratch.
    Writing equities research reports.
    Top-down valuation models for Venture Capitalists.
    Industry research and modelling.
    Ratios based valuation models.
    Valuation models and ratings models for bonds and fixed income securities.
    Modelling currencies and commodities.

    Behavioural Finance and Technical Analysis

    About the Module:

    This module is about the psychological foundations of market behaviour and finance, and how trends and patterns tend to repeat themselves

     

    Learning Outcomes:

    Introduction to Behavioural Finance and Heuristics and Biases.
    Prospect Theory, Loss Aversion and Hyperbolic Discounting.
    Bubbles and Crashes.
    Fundamentals of Charting and Technical Analysis and how it connects to Market Psychology.
    Self-fulfilling prophecies.

    Overview of Machine Learning, Artificial Intelligence and Python Programming for Financial Applications

    About the Module:

    This module will focus on understanding key analytics concepts, solutions, and modus operandi, through real-world finance use-cases.

    The module will additionally also introduce you to the core ideas of Machine Learning, Artificial Intelligence and programming on Python.

     

    Learning Outcomes:

    Understand why and how businesses use analytics through use-cases; the qualities of a good analyst; analytics methodologies and problem definitions; and the CRISP-DM architecture.

    Understand the goal of machine learning; elements of supervised learning, and the difference between the training set and the test set; the difference of classification and regression – two representative kinds of supervised learning. Introduction to algorithms.

    Introduced to python environments and ML packages, concept of Object-Oriented Programming, programming for a live environment, debugging, IDEs, and python basics such as class, objects, functions, conditions, loops/iterators, array, dictionary, lambda, mathematical and statistical operations, numpy for matrix algebra, exception handling, and file handling.

    Overview of Machine Learning, Artificial Intelligence and Python Programming
    for Financial Applications

    About the Module:

    This module will focus on understanding key analytics concepts, solutions, and modus operandi, through real-world finance use-cases.

    The module will additionally also introduce you to the core ideas of Machine Learning, Artificial Intelligence and programming on Python.

     

    Learning Outcomes:

    Understand why and how businesses use analytics through use-cases; the qualities of a good analyst; analytics methodologies and problem definitions; and the CRISP-DM architecture.

    Understand the goal of machine learning; elements of supervised learning, and the difference between the training set and the test set; the difference of classification and regression – two representative kinds of supervised learning. Introduction to algorithms.

    Introduced to python environments and ML packages, concept of Object-Oriented Programming, programming for a live environment, debugging, IDEs, and python basics such as class, objects, functions, conditions, loops/iterators, array, dictionary, lambda, mathematical and statistical operations, numpy for matrix algebra, exception handling, and file handling.

    Financial Regulations and Analytics

    About the Module:

    This module will introduce global financial and data regulation and how it relates to analytical models of risk modelingule will additionally also introduce you to the core ideas of Machine Learning, Artificial Intelligence and programming on Python.

     

    Learning Outcomes:

    Global financial regulations – DFAST, CCAR, IFRS, GARP.
    Probability of default Models, loss given default and exposure at default.
    Risk weighted assets and creditworthiness of banks and necessary collaterals.

    Financial Technology

    Learning Outcomes:

    Fundamental of Blockchain and Hyperledger, Cryptocurrencies and their valuation, technologies, Non-Fungible Tokens.
    Use of AI-ML in FinTech. Application development in PropTech and InsurTech.
    Use of new data sources including unstructured data for understanding financial risk.

    Finance, Fintech, Regulations and Data from an Indian
    Perspective

    About the Module:

    This module will introduce and dive into the details of previous modules from an Indian context.

    Learning Outcomes:

    Financial regulations for banking and non-banking financial corporations in India.
    Data availability in India.
    The Indian fintech, proptech and insurtech landscape.

    Finance, Fintech, Regulations and Datafrom an Indian Perspective

    About the Module:

    This module will introduce and dive into the details of previous modules from an Indian context.

     

    Learning Outcomes:

    Financial regulations for banking and non-banking financial corporations in India.
    Data availability in India.
    The Indian fintech, proptech and insurtech landscape.

    Your Faculty

    Dr Anirban Chakraborti

    Dr Anirban Chakraborti

    Awardee of the prestigious Young Scientist Medal of the Indian National Science Academy and professor at the School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi with over 2 decades of experience.

    Dipyaman Sanyal


    Dipyaman Sanyal

    A former hedge fund quant, CFA, an adjunct faculty at Northwestern University, included in the 40-under-40 data scientists in India list of 2019, and counted amongst the leading Data Science Academics in India in 2018 & 2019 who now leads a boutique consulting firm.

    Satyam Arora

    Satyam Arora

    A CFA with specialties in equity, banking, financial services and macro research, he was initially supporting Rafferty Capital Market, LLC as a VP Equity Research before moving on to Phillips where he heads Personal Health, Market Analysis & Forecasting, Strategy M&A and Partnerships.

    Get Certified

    MIT Finance Certification of achievement

    In the successful completion of this program, you will receive a certificate from Hero Vired in collaboration with MIT, and postgraduate certification from BML Munjal University. You will also be eligible for MicroMasters® credentials*.

    *T&C apply

    Program FAQs

    Who is this program for ?

    Anyone interested in making a career in high finance or fintech, who might come from a basic finance, business administration or technology background. Working professionals with some exposure to banking, or any finance related domain including operations, may find the program extremely useful to transition to pure finance and fintech roles.

    Why IPFT FT ?

    Most academic programs in finance tend to focus on aspects of accounting and on theoretical aspects of modern finance. While finance theory and accounting are essential for understanding applied finance, ignore practical applications of finance and the technology revolution that the field is facing is leading to a huge skills gap between what the industry is looking for and what institutions are teaching.

    The IPFT-PT is the first comprehensive finance, quantitative finance and financial technology program which covers the entire arc of finance from basic accounting to the global financial markets and its impact on the economy, and financial technology including analytics, AI-ML, blockchain, cryptocurrencies, non-traditional data sources. 

    What do you mean by Indian contextualization?

    A large part of understanding finance is understanding financial and accounting regulations, market specific nuances, economic factors, plus data and technological availability – which are all location dependent. While the program will cover details on global regulations and standards, which will ready the learner to work for any international clients or organizations, it will also ensure that students are ready to work in Indian markets, for Indian clients and for their own India focused start-ups

    Do you cover these topics :
    1. Portfolio Theory: Yes. From Capital Asset Pricing Model to the Mean Variance trade-offs and the efficient frontier, the course covers all details of modern finance theory and practice. 
    2. Equity Valuation: There are multiple methods of valuing a stock, from discounted dividends to using multiples (like PE) and ratios. We cover most of the popular models used in Wall St. to value stocks, bonds, currencies and commodities. 
    3. Block Chain: Blockchain and related concepts of distributed ledgers are covered in fair detail for students to be able to understand these concepts and how it affects modern finance. 
    4. Cryptocurrency: Yes. 
    5. Investment Banking/Venture Capital Models: Yes. Investment banks and VCs look for analysts who can create detailed valuation models for listed and private companies, respectively. We cover the most common modelling techniques used by PE Funds, IBanks and VCs. 
    6. JavaScript for Block Chain: No. This is not a programming course. While we do hands-on coding in Python, this is directly for valuations and risk measurement. Core programming enthusiasts may opt for our FT program.
    Do I need to know :
    1. Programming: No prior coding experience is required. This is a finance program with an additional focus on fintech. All relevant coding material will be taught, as needed. 
    2. Excel: Some level of comfort with using basic MS Excel or any other similar spreadsheet tool will be extremely useful. Excel remains the primary tool for finance – whether in auditors offices or in investment banks and hedge funds. 
    3. Machine Learning: No. We will teach relevant machine learning tools and techniques which will be used in the financial analytics domain. 
    4. Accounting: No. We will begin with the basics of accounting and then move on to high finance, investments and fintech. 
    5. Basic Finance: If you are comfortable with basic finance, you might find this course easier. However, it is not a prerequisite, since we will begin at the beginning. 
    6. Math: This is not a math heavy program. We do expect learners to be comfortable with numbers, since finance and fintech and even basic accounting is all about numbers.
    Will I be able to :
    1. Write an Equities Research Report? Yes. The program covers how investment banks build the models which underlie their equity research reports. 
    2. Make a million in the stock markets? That is not something we can promise! However, it will give you a clear idea of fundamental analysis and stock valuations, and ratio analysis and investment research, which is used by some of the top investors in the world.
    3. Work for a VC firm? Ideally, yes. VC firms focus on non-traded or private firms, which are extremely difficult to value. You will be taught how to use market sizing, market shares and growth rates to value unlisted firms.
    4. Understand how the financial markets really work? Yes. From theory to applications, its relationship with the economy, the labour market and the psychology of the markets – we cover it all.
    What would work better for me – the full time or part time program?

    It depends on the time and duration of enrolment you would be able to commit towards the program. If you are a working professional, and intend to keep working through the program, we would recommend the part-time program for you.
    However, if are committed to a transformational experience, and are looking for a program that can catapult you into an extremely different job role – we would highly encourage enrolling for our full-time program.

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