Honours in Fintech TCS iON - July 2024
Fintech
Enquire now: 9480223900
Why choose our Fintech
Learn Fintech for managing capital, Digital currencies, Time series analysis, Econometrics, Blockchain, Cryptocurrencies, Smart contracts
Virtual hands-on environment integrated within the course to help learners to try what they have learned practically, Project based industry assignments designed by industry experts to implement learning
Three Periodic Formative Assessments to assess course progress
Remote internship opportunity and Placement assistance for successful candidates
Dedicated online course communities to connect with academic and industry experts
Helpdesk support for quick resolution of queries
Accelerate your Career with a Minor Degree
Online | 30 Months | Expert Lectures
Criteria
B.E/B.Tech. Students in their 5th semester onwards who want to diversify their careers in the industry
Lectures from renowned Subject Matter Experts from leading Academia Industry, Access to self paced lea
Built in hands on environment for practical implemention of the technologies covered, Industry assignm
Enhance your career with Remote Internship Opportunity and Placement Assistance.
What will you learn in this Program?
Total Credits earned: 18 credits (across 3 courses and 270 hours of learning)
Key learnings: Fintech for managing capital, Digital currencies, Time series analysis, Econometrics, Blockchain, Cryptocurrencies, Smart contracts
Remote internships
Fintech Primer, Basic Econometrics, Blockchain in Fintech
Project based industry assignments
Visibility to placement opportunities for successful candidates, subject to hiring criteria of corporates.
Curriculum
Course 1. Fintech Primer:
This course covers critical aspect of FinTech along with understanding of prominent technologies such as API, Blockchain, AI, Machine Learning, RPA, IoT, Big Data & Data Analytics, Cyber Security etc. It will help students stay updated on the latest FinTech industry trends and practices by accessing resources powered research and experience of teachers.
Course 2. Basic Econometrics:
Basic Econometrics is a course that introduces students to the application of different statistical modelling to analyse economic variables and make predictions and forecasts, and to explain consistently occurring incidents. It is a fundamental course for aspiring economists, data scientists and financial analysts, and could also be useful for engineering sciences, biological sciences, medical sciences, geosciences, agricultural sciences, among others.
Course 3. Blockchain in Fintech: This course is a must for any upward and forward looking professional who is eager to advance his/her knowledge and skills in the area of Blockchain Technology. This course allows students to not only understand the impact of technology in the Finance domain but also many of the Blockchain Concepts
1. Fintech Primer
Module 1:FinTech: An Introduction
- Submodule 1:Foundational overview of FinTech, History, State-of-the-art,
- Submodule 2:Growth Changing attitudes of markets, customers, and regulators, Behavioral aspects of financial practices
- Submodule 3:Key technologies: Blockchain, Big Data, Machine Learning, Wearables, Artificial Intelligence, Others
- Submodule 4:FinTech Ecosystem: Payment, Regulations, and Insurance
Module 2:FinTech for Managing Capital: Capital Budgeting and Asset Management
- Submodule 1:Fundamentals of capital allocation decisions, Capital budgeting, and Wealth management
- Submodule 2:Digital investment opportunities: Alternatives and Platforms
- Submodule 3:Portfolio management and brokerage services, Roboadvisory, WealthTech
- Submodule 4:Trading with AI & ML, Algo trading
Module 3:FinTech for Managing Capital: Financing Decisions
- Submodule 1:Introductory overview of sources and usage of funds, Short- and Long-term capital
- Submodule 2:Marketplaces and Crowdfunding for accessing capital
- Submodule 3:LendTech, Automation of verification and KYC
- Submodule 4:Peer-to-peer lending: platforms, opportunities, and pros and cons
Module 4:FinTech for Managing Capital: Settlement of Capital
- Submodule 1:An overview of PayTech, Settlement methods and routes
- Submodule 2:PayTech products and services: wallets, payment gateways, other PPIs, and payment banks
- Submodule 3:Local and global trends in payment methods
- Submodule 4:Payment systems, their evolution, regulations, challenges, and future prospects
Module 5:Digital Currencies
- Submodule 1:Introduction to blockchain ecosystem and cryptocurrencies
- Submodule 2:Technical and financial architecture of bitcoins (and other cryptocurrencies)
- Submodule 3:Bitcoins as an investment opportunity for individual investors
- Submodule 4:Cryptocurrencies and other financial assets for investment portfolios.
Basic Econometrics:
Module 1: Econometrics: An Introduction
- Submodule 1:Concept of data and its varieties: Cross Section, Time Series and Panel
- Submodule 2:Concept of causality and regression and its application in Economics and Finance
Module 2:Classical Linear Regression Model (CLRM)
- Submodule 1:Fundamentals of simple (only one variable) and multiple (two or more variables) linear regression model
- Submodule 2:Assumptions and derivation of linear regression model
- Submodule 3:Interval estimation and hypothesis testing interval estimation and hypothesis testing
- Submodule 4:Multiple linear regression using Python/R
Module 3:Violation of CLRM and Remedial Measures
- Submodule 1:Autocorrelation: detection and solutions
- Submodule 2:Multicollinearity and its solutions
- Submodule 3:Heteroskedasticity and its solutions
Module 4:Quantitative Information Variable
- Submodule 1:Notion of dummy variables
- Submodule 2:Dummy variable trap and interaction dummy
- Submodule 3:Linear probability model and its problems
- Submodule 4:Logit and probit models
Module 5:Simultaneous Equation Model
- Submodule 1:Recursive model and simultaneity bias
- Submodule 2:Identification problem (rank and order condition)
- Submodule 3:Instrumental Variable (IV) model
- Submodule 4:ILS and 2SLS methods
Module 6:Time Series and Panel Data
- Submodule 1:Stationarity and unit root tests
- Submodule 2:Box-Jenkins ARIMA model
- Submodule 3:Vector autoregression and cointegration techniques
- Submodule 4:Panel data and its varieties
- Submodule 5: Fixed effect and random effect models
Blockchain in Fintech:
Module 1:First Principles
- Submodule 1:Basic Crytographic techniques
- Submodule 2:Digital Signatures
- Submodule 3:Distributed Consensus
- Submodule 4:Crypto in Distributed Consensus
Module 2:Blockchain -- The Structure
- Submodule 1:Hashcash
- Submodule 2:Blockchain Data Structure
- Submodule 3:Blockchain Network
- Submodule 4:Consensus in Blockchain Network
Module 3:Cryptocurrency and Bitcoin
- Submodule 1:What is Cryptocurrency
- Submodule 2:Bitcoin Network
- Submodule 3:Bitcoin Mining
Module 4:Smart Contract and Ethereum
- Submodule 1:Smart Contract -- What it is and Why it is for?
- Submodule 2:Ether and Ethereum Network
- Submodule 3:Solidity
- Submodule 4:Building your first Dapps
Module 5:Corda DLT
- Submodule 1:Hello, World!
- Submodule 2:Writing and testing a contract
- Submodule 3:Transaction workflows in Corda
Module 6:Other Cryptocurrencies
- Submodule 1:Litecoin
- Submodule 2:DASH
- Submodule 3:Ripple
Module 7:Permissioned Blockchain
- Submodule 1:Premissioned or Private Blockchains
- Submodule 2:Consensus in Private Blockchain
- Submodule 3:Hyperledger
Module 8:Break the Glass
- Submodule 1:Various Fintech Applications using Blockchain – WeTrade, Marcopolo
- Submodule 2:Identity management (KYC) using Blockchain
- Submodule 3:Cross-border trading
- Submodule 4:Verification and Auditing
Honours Degree In Fintech
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Program Fee
Programme Fee: INR 40002 |
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Application Process
Register to Honour/Minor degree by filling online application and by paying registration fee.
Get your online application approved.
Start enrolling to Honour/Minor degree program.
Admissons are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
Deadline:10-Apr-2024
Frequently Asked Questions
What Is a Honours Degree?
The Honours degree programme is designed to let the graduate engineering students to earn experiences to enhance themselves as professional engineers in the competitive world. Through this pr
How will this programme help students in building their proficiency?
This programme is envisaged to help build a strong foundation across various streams through digital lectures, formative and summative assessments, mini projects, mentorship from renowned ind
How is this programme different from other industry programmes?
This programme is designed to continuously make academic content more relevant to students by integrating industry inputs, which is a compelling need of the industry.
Will there be any internship and job opportunity provided through this programme?
Remote Internship opportunities will be offered to students who have completed their industry assignments, subject to vacancies and the corporate hiring policy. Successful students who have c
Contact
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Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at onlineprograms@vtu.ac.in or 9480223900