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B-TECH in Financial Technology at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Thiruvallur, Tamil Nadu
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About the Specialization
What is Financial Technology at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Thiruvallur?
This Financial Technology (FinTech) program at Vel Tech focuses on integrating cutting-edge computing technologies with traditional finance. It addresses India''''s rapidly growing FinTech sector, combining computer science, data analytics, and financial market knowledge. The program aims to create professionals capable of innovating in areas like digital payments, blockchain, algorithmic trading, and cybersecurity, meeting the specific demands of the Indian digital economy and financial landscape.
Who Should Apply?
This program is ideal for 10+2 graduates with a strong aptitude for mathematics, programming, and a keen interest in financial markets. It suits aspiring software developers for financial institutions, data analysts in banking, quantitative traders, and entrepreneurs aiming for FinTech startups. It is also beneficial for working professionals looking to upskill or career changers transitioning from traditional IT roles into the dynamic financial technology industry.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths like FinTech Analyst, Blockchain Developer, Quantitative Analyst, Risk Manager, and Algorithmic Trader. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA, depending on the role and company. The program aligns with professional certifications like NISM, aiming to foster growth trajectories in leading Indian and global financial firms operating within India.
Student Success Practices
Foundation Stage
Master Core Programming & Math Fundamentals- (Semester 1-2)
Dedicate significant effort to mastering foundational programming languages like Python and C++, alongside core engineering mathematics. This strong analytical and problem-solving base is critical for understanding complex FinTech applications. Regularly practice coding problems and mathematical concepts.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Khan Academy
Career Connection
A solid foundation in these areas directly impacts problem-solving abilities, which are crucial for technical interviews and developing robust financial algorithms.
Proactively Explore Basic Financial Concepts- (Semester 1-2)
Begin to familiarize yourself with fundamental financial market terms, economic principles, and key players in the Indian financial ecosystem. Regularly read financial news, follow market trends, and understand basic financial instruments to bridge classroom learning with real-world finance.
Tools & Resources
Investopedia, Financial Express, NSE Academy, Business Standard
Career Connection
Early domain knowledge helps contextualize technical skills for FinTech roles, making you a more attractive candidate in financial services.
Engage Actively in Academic & Peer Learning- (Semester 1-2)
Actively participate in lectures, tutorials, and form study groups with peers. Utilize campus resources like academic support centers and libraries. Collaborative learning on assignments and mini-projects enhances comprehension and develops essential teamwork skills required in professional environments.
Tools & Resources
Campus Libraries, Academic Support Services, Microsoft Teams/Google Meet for group studies
Career Connection
Strong academic performance and collaborative skills are vital for securing internships and demonstrating readiness for complex team projects in the industry.
Intermediate Stage
Hands-on FinTech Project Development- (Semester 3-5)
Apply acquired data structures, database management, and programming skills to build practical mini-projects focused on financial data analysis, basic trading simulations, or payment systems. Document your work on platforms like GitHub to create a visible portfolio of your capabilities.
Tools & Resources
Python (Pandas, NumPy), SQL, GitHub, Jupyter Notebooks
Career Connection
Practical projects demonstrate your ability to apply theoretical knowledge, making you stand out for internships and entry-level FinTech roles requiring demonstrable skills.
Seek Industry Exposure & Certifications- (Semester 3-5)
Actively look for summer internships or workshops in FinTech companies, banks, or brokerage firms, particularly in Chennai or other Indian financial hubs. Consider pursuing National Institute of Securities Markets (NISM) certifications (e.g., Equity Derivatives, Mutual Funds) to gain industry-recognized qualifications and practical domain knowledge.
Tools & Resources
NISM certifications, Internshala, LinkedIn, University Placement Cell
Career Connection
Internships provide invaluable real-world experience, while certifications enhance your resume and signal commitment to the financial industry.
Network and Professional Development- (Semester 3-5)
Attend FinTech seminars, workshops, and industry talks, both on campus and in the broader Chennai professional community. Join relevant professional groups on LinkedIn, connect with alumni, and start building a professional network for mentorship, industry insights, and future job opportunities.
Tools & Resources
LinkedIn, Industry conferences (online/offline), Alumni Network portals, Departmental events
Career Connection
Networking is crucial for discovering hidden job opportunities, gaining industry insights, and building connections that can lead to referrals and mentorship.
Advanced Stage
Specialized Skill Development & Portfolio Building- (Semester 6-8)
Deep dive into your chosen professional electives (e.g., Blockchain, AI/ML in Finance). Work on significant capstone projects that solve complex, real-world FinTech problems, showcasing advanced technical skills and business acumen. These projects should form a robust portfolio for job applications.
Tools & Resources
Specific FinTech platforms (e.g., Ethereum, TensorFlow), Cloud platforms (AWS, Azure), Personal website/blog for project showcase
Career Connection
A specialized portfolio directly demonstrates your expertise in niche FinTech areas, which is highly valued by employers for advanced roles.
Intensive Placement Preparation- (Semester 6-8)
Focus intensely on preparing for placement tests and interviews. Practice aptitude tests, technical questions (data structures, algorithms, FinTech-specific scenarios), and HR rounds. Participate in mock interviews, resume workshops, and company-specific preparation sessions offered by the Vel Tech placement cell.
Tools & Resources
Placement Cell resources, Online aptitude platforms (e.g., IndiaBix), Mock interview platforms, Company-specific interview guides
Career Connection
Thorough preparation maximizes your chances of converting interviews into job offers with top FinTech companies and financial institutions.
Leverage Mentorship and Alumni Network- (Semester 6-8)
Actively seek guidance from faculty, industry mentors, and alumni for personalized career planning, job search strategies, and specific industry insights. Utilize their experience and connections to tailor your skills and applications to specific roles and navigate the competitive FinTech job market effectively.
Tools & Resources
Faculty advisors, Alumni mentorship programs, LinkedIn for connecting with professionals
Career Connection
Mentorship provides crucial guidance, opens doors to opportunities, and helps refine your career trajectory based on real-world industry experience.
Program Structure and Curriculum
Eligibility:
- A pass in 10+2 or its equivalent with a minimum of 45% aggregate in Maths, Physics & Chemistry.
Duration: 8 semesters / 4 years
Credits: 166 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTES101 | Technical English | Core | 3 | Listening Comprehension, Speaking Skills, Reading Strategies, Written Communication, Grammar and Vocabulary |
| 21BTMA101 | Engineering Mathematics – I | Core | 4 | Matrices, Differential Calculus, Functions of Several Variables, Ordinary Differential Equations, Vector Calculus |
| 21BTPH101 | Engineering Physics | Core | 3 | Quantum Physics, Laser Technology, Fiber Optics and Sensors, Semiconductor Physics, Crystal Physics |
| 21BTCS101 | Problem Solving and Python Programming | Core | 3 | Algorithmic Problem Solving, Python Language Fundamentals, Functions and Modules, Lists, Tuples, Dictionaries, File Handling |
| 21BTGE101 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Perspective Projections, Introduction to AutoCAD |
| 21BTPH102 | Engineering Physics Laboratory | Lab | 1 | Laser Wavelength Determination, Optical Fiber Characteristics, Spectrometer Grating Measurement, PN Junction Diode Characteristics, Viscosity of Liquid |
| 21BTCS102 | Python Programming Laboratory | Lab | 1 | Basic Python Programs, Conditional and Looping Structures, Function Implementation, Data Structure Operations, File Input/Output |
| 21BTGE102 | Physical Education / NSS / NSO / YRC / Yoga | Mandatory | 1 | Physical Fitness, Sports and Games, Community Service Activities, Yoga and Wellness, Leadership Development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTES201 | Professional Communication | Core | 3 | Workplace Communication, Business Correspondence, Email Etiquette, Presentation Skills, Group Discussion Techniques |
| 21BTMA201 | Engineering Mathematics – II | Core | 4 | Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Variables, Vector Spaces |
| 21BTCH201 | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry, Corrosion and its Control, Fuel Chemistry, Polymer Chemistry |
| 21BTEC201 | Basic Electrical and Electronics Engineering | Core | 3 | DC and AC Circuits, Transformers, Semiconductor Diodes, Transistors, Operational Amplifiers |
| 21BTCS201 | Object Oriented Programming using C++ | Core | 3 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling |
| 21BTCH202 | Engineering Chemistry Laboratory | Lab | 1 | Water Hardness Determination, pH Metry, Conductometry, Potentiometry, Corrosion Rate Measurement |
| 21BTEC202 | Basic Electrical and Electronics Engineering Laboratory | Lab | 1 | Ohm''''s and Kirchhoff''''s Laws, PN Junction Diode Characteristics, Zener Diode as Regulator, Rectifier Circuits, Transistor Amplifier Characteristics |
| 21BTCS202 | Object Oriented Programming using C++ Laboratory | Lab | 1 | C++ Program Implementation, Class and Object Creation, Function Overloading, Inheritance Implementation, File Operations |
| 21BTME201 | Engineering Practices Laboratory | Lab | 1 | Fitting and Carpentry, Welding Practice, Sheet Metal Work, Plumbing Basics, Electrical Wiring |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTMA301 | Probability and Statistics | Core | 4 | Probability Theory, Random Variables and Distributions, Sampling Theory, Hypothesis Testing, Regression Analysis |
| 21BTGE301 | Environmental Science and Engineering | Core | 3 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Renewable Energy Sources, Environmental Ethics and Policies |
| 21BTCS301 | Data Structures | Core | 4 | Array and Linked Lists, Stacks and Queues, Trees and Graphs, Hashing Techniques, Searching and Sorting Algorithms |
| 21BTCS302 | Digital Logic and Computer Organization | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Processor Organization, Memory Hierarchy |
| 21BTFT301 | Database Management Systems for Financial Applications | Core | 3 | ER Model and Relational Model, SQL Query Language, Normalization, Transaction Management, Database Security for Finance |
| 21BTCS303 | Data Structures Laboratory | Lab | 2 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Techniques |
| 21BTFT302 | Database Management Systems Laboratory for Financial Applications | Lab | 2 | SQL Commands and Queries, PL/SQL Programming, Database Design for Financial Data, Stored Procedures and Triggers, Data Backup and Recovery |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTMA401 | Discrete Mathematics | Core | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics and Recurrence Relations |
| 21BTCS401 | Design and Analysis of Algorithms | Core | 4 | Algorithmic Strategies, Time and Space Complexity Analysis, Graph Algorithms, Dynamic Programming, NP-Completeness |
| 21BTCS402 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks and Synchronization |
| 21BTFT401 | Fundamentals of Financial Markets | Core | 3 | Indian Capital Market, Money Market, Equity and Debt Instruments, Derivatives Market, Regulatory Framework (SEBI, RBI) |
| 21BTFT402 | Financial Accounting | Core | 3 | Accounting Principles, Journal and Ledger, Trial Balance and Financial Statements, Ratio Analysis, Cash Flow Statement |
| 21BTCS403 | Operating Systems Laboratory | Lab | 2 | Process Management Commands, CPU Scheduling Algorithms, Memory Allocation Schemes, File System Operations, Shell Scripting |
| 21BTFT403 | Financial Market Data Analysis Laboratory | Lab | 2 | Market Data Acquisition, Data Cleaning and Preprocessing, Statistical Analysis of Financial Data, Data Visualization for Market Trends, Report Generation for Insights |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTCS501 | Computer Networks | Core | 3 | OSI and TCP/IP Models, Network Topologies and Devices, Routing Protocols, Transport Layer Protocols, Network Security Fundamentals |
| 21BTCS502 | Artificial Intelligence | Core | 3 | Intelligent Agents, Search Algorithms (DFS, BFS, A*), Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| 21BTFT501 | Investments and Portfolio Management | Core | 3 | Risk and Return Analysis, Portfolio Theory (Markowitz Model), Asset Allocation Strategies, Equity Valuation Models, Fixed Income Securities |
| 21BTFT502 | Financial Modeling | Core | 3 | Financial Statement Modeling, Valuation Models, Scenario and Sensitivity Analysis, Forecasting Techniques, Monte Carlo Simulation |
| 21BTCS503 | Computer Networks Laboratory | Lab | 2 | Network Configuration using Routers/Switches, Protocol Analysis with Wireshark, Socket Programming, Client-Server Applications, Network Troubleshooting |
| 21BTFT503 | Financial Modeling Laboratory | Lab | 2 | Excel for Financial Calculations, Building Valuation Models, Risk Analysis with Simulations, Option Pricing Models, Financial Dashboards |
| 21BTGE501 | Open Elective I | Elective | 3 | Topics vary based on chosen elective from a basket of subjects provided by other departments. |
| 21BTFTExx | Professional Elective I | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTCS601 | Big Data Analytics | Core | 3 | Hadoop Ecosystem, MapReduce Framework, Spark and its Components, Data Warehousing Concepts, Data Mining Techniques |
| 21BTFT601 | Algorithmic Trading | Core | 3 | Introduction to Algorithmic Trading, Quantitative Trading Strategies, High-Frequency Trading, Backtesting and Optimization, Risk Management in Algo Trading |
| 21BTFT602 | Banking and Financial Services | Core | 3 | Commercial Banking Operations, Investment Banking Services, Insurance Products and Markets, Mutual Funds and Wealth Management, Digital Payments and Mobile Banking |
| 21BTCS602 | Big Data Analytics Laboratory | Lab | 2 | Hadoop Installation and Configuration, MapReduce Program Implementation, Spark Data Processing, Data Visualization Tools (e.g., Tableau), ETL Processes for Big Data |
| 21BTFT603 | Algorithmic Trading Laboratory | Lab | 2 | Strategy Development and Implementation, Backtesting Platforms and Tools, Market Data Feed Integration, Order Management Systems, Performance Metrics and Analysis |
| 21BTGE601 | Open Elective II | Elective | 3 | Topics vary based on chosen elective from a basket of subjects provided by other departments. |
| 21BTFTExx | Professional Elective II | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFTExx | Professional Elective III | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFT604 | Mini Project | Project | 2 | Problem Identification and Scope Definition, Literature Survey, System Design and Architecture, Implementation and Testing, Project Report and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTFT701 | Regulations and Compliance in FinTech | Core | 3 | Regulatory Framework (RBI, SEBI), Anti-Money Laundering (AML) and KYC, Data Privacy Regulations (GDPR, DPDP Act), Consumer Protection in Digital Finance, Global FinTech Regulations |
| 21BTGE701 | Open Elective III | Elective | 3 | Topics vary based on chosen elective from a basket of subjects provided by other departments. |
| 21BTFTExx | Professional Elective IV | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFTExx | Professional Elective V | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFTExx | Professional Elective VI | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFT702 | Project Work – I | Project | 6 | Project Proposal Development, In-depth Literature Review, System Architecture and Design, Initial Implementation and Module Testing, Mid-term Project Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21BTGE801 | Open Elective IV | Elective | 3 | Topics vary based on chosen elective from a basket of subjects provided by other departments. |
| 21BTFTExx | Professional Elective VII | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFTExx | Professional Elective VIII | Elective | 3 | Topics vary based on chosen elective from streams such as Data Science, Blockchain and DLT, Information Security, Cloud Computing. |
| 21BTFT801 | Project Work – II | Project | 9 | Advanced System Implementation, Extensive Testing and Quality Assurance, Performance Optimization, Comprehensive Project Documentation, Final Presentation and Viva-Voce |
