Financial Technology and Management (FTM)

Module ID Module Title Credit Description Content
MBA971 Banks and Financial Institutions 5 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 5 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, 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.
    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.

    • 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 Analyticss 5 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 lets them clean, organize, analyze, visualize, and report financial big data in new and more powerful ways.
    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 Analysis, Text corpus visualization, Case study example.
MBA974 Investment Banking 5 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 5
    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 5 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 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.
  • 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.
  • Bag of words model, Topic Modeling, Latent Dirichlet allocation, Word2vec, natural language understanding and generation
  • 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, 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 5 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 5 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 SecurityDifferent 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 TestingApplication 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
MBA979 Project 1 5 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.
    Capstone Project
MBA980 Open Banking in a Mobile-First, Cloud-First World 5 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 & Programming FinTech Applications 5 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 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.
  • 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 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
MBA982 Project 2 5 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.
    Capstone Project