Course Schedule Overview
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1st | FN101 | Introduction to Financial Markets | 3-0-0-3 | - |
| 1st | FN102 | Principles of Economics | 3-0-0-3 | - |
| 1st | FN103 | Calculus for Business | 4-0-0-4 | - |
| 1st | FN104 | Statistics for Finance | 3-0-0-3 | - |
| 1st | FN105 | Financial Accounting Fundamentals | 3-0-0-3 | - |
| 1st | FN106 | Financial Literacy and Ethics | 2-0-0-2 | - |
| 2nd | FN201 | Corporate Finance | 3-0-0-3 | FN101, FN105 |
| 2nd | FN202 | Investment Analysis and Portfolio Theory | 3-0-0-3 | FN101, FN104 |
| 2nd | FN203 | Risk Management | 3-0-0-3 | FN104 |
| 2nd | FN204 | Financial Statement Analysis | 3-0-0-3 | FN105 |
| 2nd | FN205 | Financial Modeling and Valuation | 3-0-0-3 | FN103, FN104 |
| 2nd | FN206 | Introduction to Python for Finance | 2-0-0-2 | FN103 |
| 3rd | FN301 | Derivatives and Structured Products | 3-0-0-3 | FN202, FN203 |
| 3rd | FN302 | Behavioral Finance and Decision Making | 3-0-0-3 | FN201, FN204 |
| 3rd | FN303 | Quantitative Methods in Finance | 3-0-0-3 | FN205, FN206 |
| 3rd | FN304 | International Finance and Global Markets | 3-0-0-3 | FN201, FN202 |
| 3rd | FN305 | Financial Markets and Institutions | 3-0-0-3 | FN201, FN202 |
| 3rd | FN306 | Fintech Innovation and Digital Banking | 3-0-0-3 | FN206 |
| 4th | FN401 | Advanced Corporate Finance | 3-0-0-3 | FN301, FN302 |
| 4th | FN402 | Research and Thesis Writing in Finance | 3-0-0-3 | All previous courses |
| 4th | FN403 | Capstone Project in Finance | 3-0-0-3 | All previous courses |
| 4th | FN404 | Sustainable Finance and ESG Investing | 3-0-0-3 | FN302, FN304 |
| 4th | FN405 | Regulatory Frameworks in Finance | 3-0-0-3 | FN201, FN301 |
| 4th | FN406 | Financial Engineering and Algorithmic Trading | 3-0-0-3 | FN303, FN305 |
Advanced Departmental Electives
Departmental electives offer students the opportunity to deepen their knowledge in specialized areas of finance. These courses are designed to provide advanced insights into current trends and emerging practices in the field:
- Derivatives and Structured Products: This course explores complex financial instruments used for hedging, speculation, and arbitrage. Students learn about options, futures, swaps, and other derivatives, including their valuation models and risk implications.
- Behavioral Finance and Decision Making: This elective examines how psychological factors influence investment decisions and market behavior. It integrates theories from psychology, neuroscience, and economics to understand investor biases and irrational behaviors in financial markets.
- Quantitative Methods in Finance: Designed for students interested in data-driven finance, this course introduces statistical modeling, econometrics, and machine learning techniques applied to financial analysis and forecasting.
- International Finance and Global Markets: This course covers exchange rate dynamics, international capital flows, foreign direct investment, and the role of global institutions in shaping financial policies across countries.
- Financial Markets and Institutions: An exploration of how financial markets operate, including the roles of banks, insurance companies, mutual funds, pension funds, and central banks in facilitating economic activity.
- Fintech Innovation and Digital Banking: This elective focuses on emerging technologies in finance such as blockchain, digital currencies, robo-advisors, mobile payments, and AI-driven financial services.
- Advanced Corporate Finance: Students study advanced topics in corporate finance including capital structure decisions, dividend policies, mergers and acquisitions, and international corporate finance strategies.
- Sustainable Finance and ESG Investing: This course addresses environmental, social, and governance factors in investment decisions, exploring sustainable investment strategies, green bonds, carbon pricing, and impact investing models.
- Regulatory Frameworks in Finance: A comprehensive look at financial regulations, including Basel III, Dodd-Frank Act, and global regulatory reforms aimed at enhancing financial stability and reducing systemic risk.
- Financial Engineering and Algorithmic Trading: This course introduces algorithmic trading strategies using Python and R, focusing on high-frequency trading, market microstructure analysis, and automated portfolio optimization techniques.
Project-Based Learning Philosophy
The department strongly believes in project-based learning as a cornerstone of education. This approach encourages students to engage with real-world challenges and apply theoretical knowledge to practical situations.
The mini-project component begins in the second year, where students work in teams on small-scale research or consulting assignments related to current financial issues. These projects help develop analytical thinking, teamwork, and communication skills essential for future careers.
The final-year thesis or capstone project is a significant milestone that allows students to explore an area of personal interest within finance under the supervision of a faculty mentor. The project must demonstrate originality, depth, and relevance to current industry needs.
Project selection involves collaboration between students and faculty members. Students propose topics based on their interests and career aspirations, while mentors guide them through research methodologies, data collection, analysis, and presentation techniques.
Evaluation criteria include the clarity of objectives, methodology rigor, quality of results, and overall contribution to knowledge or practice in finance. Students are assessed not only on technical competence but also on their ability to articulate findings effectively in both written and oral formats.