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MBA in Fintech at GITAM, Gandhi Institute of Technology and Management
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is FinTech at GITAM, Gandhi Institute of Technology and Management Visakhapatnam?
This FinTech specialization program at GITAM School of Business focuses on the convergence of finance and technology, equipping students with skills to navigate India''''s rapidly evolving financial services landscape. It delves into digital transformation in banking, payments, and investment, addressing the surging demand for tech-savvy finance professionals. The program emphasizes innovative financial solutions and regulatory frameworks.
Who Should Apply?
This program is ideal for fresh graduates with a quantitative aptitude aspiring for careers in digital finance, risk management, or fintech startups. It also suits working professionals from traditional finance seeking to upskill in emerging technologies like AI, blockchain, and data analytics, or career changers aiming to transition into India''''s dynamic FinTech industry.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in roles such as FinTech Analyst, Blockchain Developer, Financial Data Scientist, Digital Payment Specialist, or Risk Modeler. Entry-level salaries typically range from INR 6-10 LPA, with significant growth trajectories in Indian banks, NBFCs, and FinTech companies. It aligns with professional certifications like NISM and global FinTech certifications.
Student Success Practices
Foundation Stage
Master Core Business & Financial Concepts- (Semester 1-2)
Dedicate time to thoroughly understand foundational subjects like Accounting for Managers, Financial Management, and Business Statistics. Utilize online resources like Coursera/edX for supplementary finance courses and practice problem-solving rigorously. Form study groups to discuss complex topics and clarify doubts, building a strong base for FinTech applications.
Tools & Resources
Investopedia, Khan Academy Finance, NISM Certifications (Level 1)
Career Connection
A solid foundation in finance and business principles is crucial for understanding FinTech innovations and ensures eligibility for entry-level analyst roles in financial institutions and tech companies.
Develop Foundational Data & Computing Skills- (Semester 1-2)
Actively engage in Computer Applications for Managers and Quantitative Techniques labs. Learn basic Python for data manipulation or Excel for financial modeling. Participate in campus workshops on data analytics tools. This early exposure to technology tools is vital for future FinTech coursework and industry readiness.
Tools & Resources
Python (NumPy, Pandas), Microsoft Excel, Kaggle (basic datasets)
Career Connection
Proficiency in data handling and basic programming is a prerequisite for FinTech roles, enhancing analytical capabilities for financial data and preparing for more advanced tech subjects.
Engage in Summer Internship for Industry Insight- (After Semester 2 (during summer break))
Secure a summer internship (MBA 291) in a financial institution or a growing FinTech startup. Focus on understanding real-world business processes, challenges, and technology adoption. Network with professionals and identify areas where technology is transforming finance. This provides invaluable practical exposure and validates academic learning.
Tools & Resources
LinkedIn, Company career pages, GITAM Placement Cell
Career Connection
Internships offer practical experience, building a professional network and often leading to pre-placement offers or informed career choices within the FinTech sector.
Intermediate Stage
Deep Dive into FinTech Electives & Analytics- (Semester 3)
Maximize learning from FinTech electives like Financial Analytics and Financial Markets & FinTech. Focus on applying statistical methods to financial data. Undertake mini-projects using real or simulated datasets to analyze financial trends and build predictive models. This period is crucial for specialization and developing hands-on FinTech skills.
Tools & Resources
R/Python for Data Science, Power BI/Tableau (for visualization), FinTech-specific case studies
Career Connection
Specialized knowledge in financial analytics and markets is highly sought after, preparing students for roles in quantitative finance, risk modeling, and FinTech product development.
Participate in FinTech Competitions & Hackathons- (Semester 3)
Seek out and participate in national or inter-college FinTech competitions, hackathons, or case study challenges. This provides an excellent platform to apply theoretical knowledge to solve real-world problems, work in teams, and gain visibility among industry leaders. Actively present innovative solutions for digital finance.
Tools & Resources
National FinTech Festivals, Startup India initiatives, Institution-organized events
Career Connection
Winning or even participating in such events demonstrates problem-solving abilities, innovation, and teamwork, significantly boosting resume value and networking opportunities in the FinTech ecosystem.
Network Actively with FinTech Professionals- (Semester 3)
Attend industry seminars, webinars, and conferences focused on FinTech in India. Connect with speakers, alumni working in FinTech, and professionals via LinkedIn. Engage in discussions about emerging trends, career paths, and skill requirements. Informational interviews can provide deeper insights into specific roles.
Tools & Resources
LinkedIn, Industry events (e.g., India FinTech Forum), Alumni network portals
Career Connection
A strong professional network opens doors to mentorship, internship leads, and direct hiring opportunities, crucial for navigating the competitive Indian FinTech job market.
Advanced Stage
Execute a Comprehensive FinTech Project & Major Project- (Semester 4)
Undertake the FinTech Project and Major Project with a focus on developing a practical, innovative solution or conducting in-depth research relevant to the Indian FinTech sector. Leverage AI/ML, Blockchain, or advanced analytics concepts learned. Aim for a publishable-quality report or a functional prototype of a FinTech product/service.
Tools & Resources
Advanced Python/R libraries, Cloud platforms (AWS/Azure for data), Git for version control
Career Connection
A well-executed project serves as a powerful portfolio piece, showcasing specialized skills and problem-solving capabilities, directly impacting placement in top FinTech companies or securing research roles.
Master AI/ML and Blockchain Applications in Finance- (Semester 4)
Beyond coursework, pursue certifications or specialized online courses in AI/ML and Blockchain tailored for finance. Experiment with frameworks like TensorFlow or PyTorch for financial modeling or develop smart contracts using Solidity. Understand the regulatory implications for these technologies in India.
Tools & Resources
Google AI Platform, IBM Blockchain Platform, Online certifications (e.g., AWS Certified Machine Learning Specialty)
Career Connection
In-demand skills in AI/ML and Blockchain are critical for roles in advanced financial analytics, cybersecurity in finance, and digital asset management, offering a competitive edge in placements.
Prepare Rigorously for Placements and Interviews- (Semester 4)
Engage fully with the career services cell for mock interviews, resume reviews, and group discussion practices. Tailor your resume and cover letters for specific FinTech roles. Practice technical questions related to finance, data analytics, and emerging technologies. Be prepared to articulate your project work and specialization knowledge confidently.
Tools & Resources
Placement Cell workshops, Interview preparation platforms (e.g., GeeksforGeeks for tech interviews), Company-specific interview guides
Career Connection
Strategic and rigorous placement preparation ensures you are well-equipped to convert interviews into job offers, leading to successful entry into your desired FinTech career path.
Program Structure and Curriculum
Eligibility:
- Bachelor’s Degree in any discipline from a recognized University with not less than 50% aggregate marks/equivalent CGPA. Candidates appearing for the final year degree examination are also eligible to apply.
Duration: 2 years (4 semesters)
Credits: 92 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 101 | Management Process & Organisational Behavior | Core | 4 | Introduction to Management, Planning & Decision Making, Organizing & Staffing, Leadership & Motivation, Organizational Culture & Change |
| MBA 102 | Managerial Economics | Core | 4 | Nature & Scope of Managerial Economics, Demand & Supply Analysis, Production & Cost Theory, Market Structure & Pricing Decisions, Profit Management |
| MBA 103 | Accounting for Managers | Core | 4 | Financial Accounting Principles, Recording Business Transactions, Preparation of Financial Statements, Cost Accounting Concepts, Budgetary Control |
| MBA 104 | Business Statistics | Core | 4 | Data Collection & Presentation, Measures of Central Tendency & Dispersion, Probability & Probability Distributions, Sampling & Hypothesis Testing, Correlation & Regression Analysis |
| MBA 105 | Business Law & Ethics | Core | 4 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Companies Act (Basics), Ethical Theories & Corporate Governance |
| MBA 106 | Business Communication | Core | 2 | Principles of Communication, Verbal & Non-verbal Communication, Written Communication (Reports, Emails), Oral Presentations & Public Speaking, Interpersonal & Cross-cultural Communication |
| MBA 151 | Computer Applications for Managers | Lab | 2 | MS Office Suite for Business, Data Analysis with Spreadsheets, Presentation Tools, Internet & Cloud Computing Basics, Business Software Applications |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 201 | Marketing Management | Core | 4 | Marketing Environment & Research, Consumer Behavior & Market Segmentation, Product Life Cycle & New Product Development, Pricing Strategies, Promotion & Distribution Channels |
| MBA 202 | Financial Management | Core | 4 | Financial Goals & Time Value of Money, Capital Budgeting Decisions, Working Capital Management, Cost of Capital & Capital Structure, Dividend Policy & Lease Financing |
| MBA 203 | Human Resource Management | Core | 4 | HR Planning & Job Analysis, Recruitment & Selection, Training & Development, Performance Management, Compensation & Benefits Administration |
| MBA 204 | Operations Management | Core | 4 | Production Systems & Design, Facility Location & Layout, Inventory Management, Quality Management & Control, Supply Chain Management |
| MBA 205 | Research Methodology | Core | 4 | Research Design & Problem Formulation, Data Collection Methods (Primary & Secondary), Sampling Techniques, Data Analysis (Descriptive & Inferential), Report Writing & Presentation |
| MBA 206 | Entrepreneurship Development | Core | 2 | Entrepreneurial Process & Mindset, Idea Generation & Opportunity Spotting, Business Plan Development, Funding & Legal Aspects for Start-ups, Marketing & Growth Strategies for New Ventures |
| MBA 251 | Quantitative Techniques for Managers | Lab | 2 | Linear Programming, Transportation & Assignment Problems, Network Analysis (PERT/CPM), Decision Theory, Simulation Techniques |
| MBA 291 | Summer Internship | Project | 2 | Industry Exposure & Practical Application, Problem Identification & Data Collection, Project Report Writing, Presentation of Findings, Professional Networking |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 301 | Strategic Management | Core | 4 | Strategic Analysis & Vision-Mission, External & Internal Environment Analysis, Strategy Formulation (Corporate, Business, Functional), Strategy Implementation & Control, Strategic Leadership & Corporate Governance |
| MBA 302 | Operations Research | Core | 4 | Linear Programming & Simplex Method, Transportation & Assignment Problems, Queuing Theory & Inventory Models, Game Theory & Decision Analysis, Project Management Techniques |
| MBA 303 | Industry Project | Project | 4 | Applied Research in Industry Setting, Problem-Solving & Analytical Skills, Project Planning & Execution, Data Analysis & Interpretation, Report Generation & Presentation |
| MBA FT 101 | Financial Analytics | Elective | 3 | Financial Data Sources & Management, Statistical Tools for Financial Analysis, Predictive Modeling in Finance, Time Series Analysis & Forecasting, Data Visualization for Financial Insights |
| MBA FT 102 | Financial Markets & Fintech | Elective | 3 | Indian Financial System Structure, Capital & Money Markets in India, Emergence of Fintech Ecosystem, Digital Payments & Lending, Wealth Management & Robo Advisory |
| OE 1 | Open Elective 1 | Elective | 3 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 401 | International Business | Core | 4 | Globalization & International Trade Theories, Foreign Exchange Markets & Risk Management, International Marketing & Logistics, Cross-cultural Management, WTO & International Economic Organizations |
| MBA FT 103 | AI/ML in Finance | Elective | 3 | Machine Learning Algorithms (Regression, Classification), AI Applications in Risk Management, Algorithmic Trading Strategies, Fraud Detection using AI, Natural Language Processing for Financial Data |
| MBA FT 104 | Blockchain & Cryptocurrency | Elective | 3 | Fundamentals of Blockchain Technology, Cryptography & Distributed Ledger Technology, Bitcoin & other Cryptocurrencies, Smart Contracts & Decentralized Applications, Regulatory Landscape for Crypto in India |
| MBA FT 105 | Fintech Project | Project | 3 | Fintech Solution Design & Development, Market Research for Fintech Products, Prototyping & Testing, Business Model Innovation in Fintech, Regulatory Compliance for Fintech Ventures |
| MBA 491 | Major Project | Project | 8 | In-depth Industry Research, Problem Identification & Solution Design, Advanced Data Collection & Analysis, Comprehensive Project Report Writing, Professional Presentation & Defense |
| OE 2 | Open Elective 2 | Elective | 3 |
