Course Structure Overview
The Finance program at RKDF INSTITUTE OF MANAGEMENT is structured over eight semesters, with a carefully designed progression from foundational knowledge to advanced specialization. Each semester includes core courses, departmental electives, science electives, and mandatory laboratory components.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MAT101 | Calculus I | 3-1-0-4 | - |
| 1 | ECO101 | Introduction to Microeconomics | 3-1-0-4 | - |
| 1 | ACC101 | Financial Accounting | 3-1-0-4 | - |
| 1 | FIN101 | Introduction to Finance | 3-1-0-4 | - |
| 1 | MAT102 | Calculus II | 3-1-0-4 | MAT101 |
| 2 | Eco102 | Introduction to Macroeconomics | 3-1-0-4 | - |
| 2 | MAT201 | Statistics for Finance | 3-1-0-4 | MAT102 |
| 2 | ACC201 | Managerial Accounting | 3-1-0-4 | ACC101 |
| 2 | FIN201 | Corporate Finance | 3-1-0-4 | FIN101 |
| 2 | FIN202 | Financial Markets | 3-1-0-4 | - |
| 3 | MAT301 | Probability and Random Variables | 3-1-0-4 | MAT201 |
| 3 | FIN301 | Investment Analysis | 3-1-0-4 | FIN201 |
| 3 | FIN302 | Risk Management | 3-1-0-4 | FIN201 |
| 3 | FIN303 | Financial Derivatives | 3-1-0-4 | FIN201 |
| 3 | FIN304 | Portfolio Theory and Management | 3-1-0-4 | FIN201 |
| 4 | FIN401 | Behavioral Finance | 3-1-0-4 | FIN301 |
| 4 | FIN402 | Sustainable Investing | 3-1-0-4 | FIN301 |
| 4 | FIN403 | Quantitative Methods in Finance | 3-1-0-4 | MAT301 |
| 4 | FIN404 | Financial Engineering | 3-1-0-4 | FIN303 |
| 5 | FIN501 | Advanced Corporate Finance | 3-1-0-4 | FIN201 |
| 5 | FIN502 | Mergers & Acquisitions | 3-1-0-4 | FIN201 |
| 5 | FIN503 | Fixed Income Securities | 3-1-0-4 | FIN201 |
| 5 | FIN504 | International Finance | 3-1-0-4 | FIN201 |
| 6 | FIN601 | Financial Innovation & Fintech | 3-1-0-4 | FIN404 |
| 6 | FIN602 | Algorithmic Trading | 3-1-0-4 | FIN304 |
| 6 | FIN603 | Private Equity & Venture Capital | 3-1-0-4 | FIN501 |
| 6 | FIN604 | Financial Risk Modeling | 3-1-0-4 | FIN403 |
| 7 | FIN701 | Capstone Project in Finance | 2-0-4-6 | All previous courses |
| 7 | FIN702 | Financial Strategy & Policy | 3-1-0-4 | FIN501 |
| 7 | FIN703 | Advanced Topics in Finance | 3-1-0-4 | FIN601 |
| 7 | FIN704 | Financial Ethics & Governance | 3-1-0-4 | FIN201 |
| 8 | FIN801 | Research Seminar in Finance | 2-0-4-6 | All previous courses |
| 8 | FIN802 | Industry Internship | 0-0-6-6 | All previous courses |
Advanced Departmental Electives
Our department offers a rich selection of advanced elective courses designed to deepen students' understanding of specialized areas within finance:
- Behavioral Finance (FIN401): This course explores how psychological biases and emotional factors influence financial decision-making. Students will analyze investor behavior, market anomalies, and the role of cognitive limitations in shaping financial outcomes.
- Sustainable Investing (FIN402): Focuses on integrating environmental, social, and governance (ESG) criteria into investment strategies. The course covers ESG scoring models, impact investing, green bonds, and sustainable portfolio construction.
- Quantitative Methods in Finance (FIN403): Utilizes mathematical and statistical tools to model financial systems, price securities, and optimize portfolios. Topics include stochastic calculus, Monte Carlo simulations, and machine learning applications.
- Financial Engineering (FIN404): Combines engineering principles with financial theory to design innovative financial products and solutions. The course covers derivatives pricing, risk management, and algorithmic trading strategies.
- Advanced Corporate Finance (FIN501): Delves into complex corporate financial decisions including capital structure, dividend policy, working capital management, and valuation techniques for various business entities.
- Mergers & Acquisitions (FIN502): Analyzes the process of corporate consolidation, including valuation methods, due diligence, negotiation strategies, and integration challenges in M&A transactions.
- Fixed Income Securities (FIN503): Provides comprehensive coverage of bond markets, interest rate risk, credit analysis, yield curve modeling, and fixed income portfolio management strategies.
- International Finance (FIN504): Examines global financial systems, exchange rate determination, international capital flows, and cross-border investment opportunities in emerging and developed economies.
- Financial Innovation & Fintech (FIN601): Explores the impact of digital technologies on traditional finance, including blockchain, AI, mobile banking, cryptocurrency, and decentralized finance (DeFi) platforms.
- Algorithmic Trading (FIN602): Introduces algorithmic strategies for trading and portfolio optimization. Students will learn about market microstructure, execution algorithms, high-frequency trading, and backtesting methodologies.
- Private Equity & Venture Capital (FIN603): Covers investment structures, due diligence processes, portfolio management, and exit strategies in private equity and venture capital markets.
- Financial Risk Modeling (FIN604): Develops advanced techniques for measuring, analyzing, and managing financial risks using quantitative models, stress testing, and scenario analysis.
Project-Based Learning Philosophy
At RKDF INSTITUTE OF MANAGEMENT, we believe that practical experience is essential to mastering finance. Our project-based learning approach integrates theoretical concepts with real-world applications:
- Mini Projects (Semesters 2-6): Students work in teams on short-term projects related to market analysis, financial modeling, or investment research. These projects are supervised by faculty members and evaluated based on analytical rigor and presentation quality.
- Final Year Thesis/Capstone Project (Semesters 7-8): The capstone project involves an in-depth investigation into a contemporary issue in finance. Students collaborate with industry mentors or faculty advisors to develop innovative solutions or research contributions.
Project selection is guided by student interests, faculty expertise, and current market trends. Each project undergoes a formal proposal process, including feasibility assessment, timeline planning, and milestone tracking. The final evaluation considers both the technical merit of the work and its potential impact on the field of finance.