Department of Management Science

Programme Name: Financial Technology & Management

Module

Title

Description

Content

MBA971

Banks and

Financial

Institutions

This compulsory module will provide

participants with an understanding of

how the Banking and Financial

Institutions operate and their role in

enabling global and domestic

economies. Coverage will include the

evolution and role of financial

institutions and the regulatory system

governing them. The module will also

cover the basics of fiscal policy, the

global economy, and foreign trade.

Broad coverage of the Indian financial

institutions and their roles will also be

provided.

● Banking & its History

○ Evolution, Nationalization, Types, New Banks, Deposit

Services, Non-deposit Liabilities, Capital, Liquidity of

Reserves Management, Risk Management, Analysis of

Asset & Liability, ALM Mismatch

● Banking as Intermediation

○ An Overview, Components of Financial Intermediation,

Sources and Applications of Funds, Lending Function,

Financial Intermediation: Non-Fund Based Services,

Measuring, Managing, Monitoring Credit Risk

● Financial Institutions & its Functions

○ Bank Regulations and Policies, Impact of Government

Policies and Regulations, RBI, SEBI, NHB, MPC, Fiscal

Policy, LAF

● Regulations

○ Managing Solvency and Capital Adequacy, Regulation

and Monetary Policy for Banks, Need for Independence

of Central Banks, Capital Adequacy

MBA972

Capital

Market and

Financial

Products

Capital and Money Markets: An

introduction to the financial system, its

functions. Briefly cover various assets

and contracts that are commonly

traded, which include fixed income

securities, equities, pooled

investments, currencies, contracts,

● Equity

○ An introduction to equities and types. Difference

between private and public equities. Discuss risk and

return characteristics, and based on that valuation of

equities. Also, familiarize you with commonly used

equity valuation models- present value, multiplier, and

asset based.

commodities and real assets. This

module will also familiarize the

students with various financial

intermediaries Brokers, exchanges,

investment banks, dealers, securitizers,

depository institutions, insurance

companies. The module will also

discuss how issuers first trade in

primary security markets and how

trading happens in secondary markets.

● Fixed Income Securities

○ Introduce you to the debt market, and the different kinds

of bonds that are issued. Briefly discuss the different

provisions that bondholders or issuers of bonds may be

granted. Discuss various risks that bondholders take on.

Understanding and calculation of valuation of bonds

How change in interest rate affects bond price.

● Derivatives and Alternative Investments

○ Introduce you to the derivatives market, and commonly

traded derivatives, which include forwards, futures,

options, and swaps. Will understand the pricing of these

derivatives. Finally, familiarize to the alternative

investments, which include hedge funds, private equity,

real estate and commodities.

MBA973

Financial Big

Data

Analytics

Organizations of all kinds need

data-driven decision-making to help

students to improve their processes,

identify opportunities and trends,

launch new products, and make

thoughtful decisions. In this module

students will be introduced to the world

of data analytics through a hands-on

curriculum. This module is designed to

equip the learners with the skills

needed to become eligible for mid to

senior-level data analyst/ scientist/

engineer jobs. In this module, Students

will learn about the programming

language known as R, and find out how

to use R-Studio, the environment that

allows students to work with R. This

module will also cover the software

applications and tools that are unique

to R, such as ggplot (grammar of

graphics). Students will discover how R

● Big Data Analytics

○ Fundamentals of R programming, Statistical modeling,

inferential statistics, confidence interval estimation,

hypothesis testing

● Exploratory Data Analytics

○Data cleaning and data visualization, generating insights

from data

●Predictive Analytics with Linear Regression modeling

○ Simple and multiple linear regression, residual

diagnostics, multicollinearity, heteroscedasticity etc.

● Time Series Analytics

○ ARIMA models, Time series stationarity, Unit roots,

Modeling short-term and long-term relationships

● Panel Data models

○ Fixed effects and Random effects models, Least Square

Dummy Variable models

●Non-Linear models

○ Logistic Regression, Quantile Regression, Model

Building, and Estimation issues

●Big Data Text Analytics

○ Natural Language Processing, Text Mining, Sentiment

lets them clean, organize, analyze,

visualize, and report financial big data

in new and more powerful ways.

Pre-requisites:

e-Masters in Financial Technology &

Management: Banks and Financial

Institutions, Capital Markets and

Financial Products.

Analysis, Text corpus visualization, Case study example.

MBA974

Investment

Banking

This module aims to prepare students

for an Analyst role in the Capital

Markets and Advisory divisions of an

Investment Bank. This module will

emphasize on the practical aspects of

an investment banking job and the

finance theory required for the same.

The module will be taught in four

modules. The first part of the module

will focus on the analytical skills

required for an investment banker. This

module will cover financial statement

analysis and various valuation methods

In the second module, the students will

gain an in-depth understanding of the

Equity Capital Markets Division of an

investment bank. The third module will

focus on the Debt Capital Markets

Division of an Investment Bank. Finally,

the fourth module focuses on the

Advisory Division of an Investment

Bank.

● Introduction and Basic Tools

○ Introduction to Primary Capital Markets: Structure of an

Investment Bank, Different types of financial instruments

and their uses from firms’ perspective, Capital Structure

Decision

○ Basics of Valuation and Financial Statement Analysis:

DCF Models, Price Multiples, EV Multiples, Industry

Specific Multiples, Accounting Ratio Analysis

● Equity Capital Markets

○ Initial Public Offering 1: Strategic motivation for going

public, IPO process, role and fee structure of an

investment bank in an IPO

○ Initial Public Offering 2: Underwriting, Green Shoe

Options, IPO underpricing

○ Follow-on Public Offerings, Rights Issues and Private

Placement: Strategic Motives, Legal and Procedural

Aspects

○ Share Buy-Backs and Delisting: Strategic Motives, Legal

and Procedural Aspects

● Debt Capital Markets

○ Bonds: Strategic, Procedural, Legal and Accounting

Aspects of Bond Issues, Different types of bonds and

their uses

○ Loan Syndication and Project Finance: Strategic

Motives, Risk Mitigation through Project Finance,

Covenants, Cash Trap, Cash Sweep, Debt Sculpting

● Mergers and Acquisitions

○ Mergers and Acquisitions: Strategic Motives, Mode of

payment, Synergy, Valuation, M&A Analysis

MBA975

AI,Machine

Learning and

Deep

Learning

This compulsory module will help

learners understand the intricacies of

ML and DL models used to solve

business problems. The students will

also learn the concepts of NLP and

Reinforcement Learning from scratch.

● ML techniques

○ Various learning paradigms: Supervised learning,

Unsupervised learning, Representation learning,

Semi-supervised learning, Regularization, Naïve Bayes,

SVM, Decision Trees, Random Forest, Multilayer

perceptron, Gradient Boosting, XG Boost

● Deep learning

○ Restricted Boltzmann Machine, Deep Belief Network,

CNN, Long short-term memory (LSTM), GAN.

● Natural language processing

○ Bag of words model, Topic Modeling, Latent Dirichlet

allocation, Word2vec, natural language understanding

and generation.

● Reinforcement learning

○ Introduction, Models and applications to banking.

● Case Studies and demos of deep learning and NLP

○ Chatbot development, Cyber fraud detection including

phishing/ spam/malware detection; Credit card fraud

detection,Financial forecasting using ML, and sentiment

analysis.

MBA976

Blockchain

and

Distributed

Ledger

Technologies

Blockchains and Distributed Ledger

Technologies have brought about

changes that could mean more

transparency, efficiency and resilience

to fraud in a distributed system.This

module aims to introduce mechanisms

underlying Blockchain and Distributed

Ledgers, their origins and key

characteristics. On successful

completion of this module the students

will be able to differentiate between

● Introduction: Blockchain and distributed ledger technology,

Bitcoin blockchain,Transactions, Digital signature, Consensus

mechanism and Proof of Work (PoW).

● Bitcoin Blockchain Stability, Second Generation Blockchain,

Ethereum Blockchain,Smart Contracts, Blockchain as a

platform.

● Alternatives to Proof of Work, Proof of stake, Proof of Authority

and other consensus mechanisms for different blockchain

architectures.

● Transaction ledgers in blockchain networks, Public and private

ledgers, Permissionless and permissioned blockchain,

decentralized applications based on

‘public’ and ‘private’ blockchains.This

module will also focus on the roles and

risks associated with cryptocurrencies.

Examples of distributed ledger

technology based applications will be

used throughout the module.

Enterprise level blockchains and distributed ledgers.

● More on Enterprise level blockchains – Hyperledger Fabric and

Ethereum Enterprise blockchains.

● Secure multiparty computation techniques and their application

in blockchain networks.

● Privacy and Scalability Issues, Anonymity, Pseudonymity,

Unlinkability. Zero Knowledge Proofs, Byzantine agreement

protocols.

● Cryptocurrencies, Roles and risks associated with

cryptocurrencies, Policy issues related with blockchain.

MBA977

IT Platforms,

Cloud

Computing &

IoT

This compulsory module will help

learners understand cloud computing

and IoT architectures. They will learn

about virtualization and its role in cloud

computing. The module will focus on

delivery and deployment models of

cloud computing and various private

and public cloud platforms.Students will

be taught how to determine the right

sensors and communication protocols

to use in a particular IoT system,

understand the data generated from an

IoT device and migrated to the cloud

and the security features required to

protect data stored in the cloud.

● Introduction to Cloud and IoT

○ Cloud Computing: NIST definition of cloud computing

Evolution of cloud computing, Cloud essential

Characteristics, Cloud computing architecture, Benefits

and challenges of cloud computing. IoT: IoT architecture,

devices, sensors and applications.

● Virtualization and Virtual data centers

○ What is Virtualization, Benefits of virtualization,

Virtualization structures/hypervisors, Approaches to

virtualization, Types of resource Virtualization, Virtual

Data Centers and role of virtualization in cloud

computing.

● Hands-on Virtualization

○ Creating and managing Virtual machines, Migration VMs

and creating virtual data centers using KVM and Xen

hypervisors.

● Cloud Delivery and Deployment Models

○ Cloud services: Software as a Service(SaaS), Platform

as a Service (PaaS) and Infrastructure as a Service

(IaaS). Cloud types: Public cloud, private cloud,

community cloud and hybrid cloud.

● Hands-on Cloud Computing

○ Hands-on creating private cloud and management using

Openstack.

● IoT Communication and protocols

○ Message Queuing Telemetry Transport (MQTT), Secure

Message Queuing Telemetry Transport (MQTT),

Constrained Application Protocol (CoAP), Extensible

Messaging and Presence Protocol (XMPP), Advanced

Message Queuing Protocol (AMQP).

● Cloud of Things(CoT)

○ IoT and cloud integration, The Cloud of Things

architecture, Edge/fog computing and mobile cloud

computing.

● Cloud Security and Privacy

○ Cloud security fundamentals, Cloud security threats,

Data security and storage, Privacy, Application

Security,Identity and access management (IAM), Audit

and compliance management,and Secure data

management in IoT.

MBA978

Cyber

Security

The primary objective of this module is

to equip students with various cyber-

attack tactics,techniques and

procedures along with hands-on

training in different cyber security

tools.Through this module, students

will develop an ability to identify, detect,

analyze and prevent popular cyber-

attacks.

● Introduction to Cryptography

○ Symmetric and asymmetric encryption algorithms,Digital

signatures, Digital certificate, SSL and TLS,IPSec.

● Introduction to Cyber Security

○ Different types of cyber-attacks: Malware, phishing, SQL

injection, DoS/DDoS, spoofing, compromise password,

Cross-site scripting, Cross-site request forgery, OWASP

top 10.

● Vulnerability Analysis and Penetration Testing

○ Application vulnerabilities and mitigations strategies,

Information gathering techniques, target enumeration

and post scanning techniques, vulnerability assessment,

network sniffing, remote exploitation, client-side

exploitation. Application and Network VAPT Tools

-hands-on exercises.Organizational security, Security

policy, administration of security , monitoring security.

● Network Security Tools

○ Firewalls, VPN, Intrusion detection/prevention, WAF,

Packet capturing using Wireshark, NAC, NBAD.

MBA980

Open

Banking in

Mobile-First,

Cloud-First

world

This module will teach students the

platforms and tools driving the neo-

banking ecosystem. This will also be

exposed to the operational aspects of

such platforms. Students will develop

the ability to analyze and extend such

platforms at a conceptual level.

● Introduction

○ The technical elements of Open/Neo Banking stack and

a brief overview of digital banking channels.

● Software architecture patterns

○ Brief overview of architectural patterns, client-server/

controller/ middleware/ multi-tier/ front-end/ back-end

etc.

● Open APIs

○ Overview of PSD2 and India Stack. A basic demo of

REST API calls.

● Cloud and virtualization

○ Basics of virtualization as a pillar to enable Open

Banking.

● App project management basics

○ Planned vs. iterative software development

● Mobility and banking

○ Mobile banking and enablement by edge-computing etc.

Includes an overview of financial inclusion through

business correspondents AEPS etc.

● Security perspectives

○ Benefits and challenges with cloud and mobile

ecosystem for security.

● Recent innovations

○ AR/VR/MR in fin-tech space.5G and beyond – a

convergence of cloud + mobile.

MBA981

Extreme

Automation

This compulsory module will cover

various aspects of RPA / DPA and its

use cases, e.g. customer onboarding,

KYC Compliance, Report Generation,

AML and doubtful transaction

identification etc. Exposure will be

given to popular RPA / DPA platform(s)

such as UIPath, Pega, Automation

Anywhere and Blue Prism. The module

will focus on how RPA and DPA assist

● RPA - UIPath

○ RPA Basics,Benefits, Impacts, Types,Introduction to

UIPath,Variables & Arguments, Selectors,COntrol Flow,

Data Manipulation, Orchestrator, UiPath Features,

Studio, StudioX, Reading & Writing

● PEGA

○ Introduction to Pega, Situational LayerCake, Navigation,

Application development studios, Roles, Designing a

case life cycle, Service level, Controlling the

workflow,Routing work to user,Configure a case

in processing the work that is repetitive

in nature, help banks & financial

institutions increase productivity by

engaging customers in real-time and

leverage the power of bots.

hierarchy, Adding fields to a case type,Data in Memory,

Manipulating, Validating Integration with UI, Styling,

Report Creation and optimization

● Blue Prism

○ Introduction,value, technology ,Automation Scenario,

Application Model, Actions,Process Flow, Object Studio,

Exception Handling, Other Capabilities, Focus Points

MBA979

Core Project

This component will cover various

aspects of topics that would range from

Digital Banking. Decentralised Finance,

Digital Transactions Optimization,

Digital Risk Management and Digital

Customer Experience and more.