Curriculum Overview
The Finance program at INDORE INTERNATIONAL COLLEGE is designed to provide a comprehensive understanding of financial systems, markets, and instruments. The curriculum spans eight semesters, each with a carefully curated set of core courses, departmental electives, science electives, and laboratory experiences.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | FN-101 | Introduction to Financial Markets | 3-0-0-3 | - |
| 1 | FN-102 | Financial Accounting and Reporting | 3-0-0-3 | - |
| 1 | MATH-101 | Calculus for Finance | 4-0-0-4 | - |
| 1 | STAT-101 | Probability and Statistics | 3-0-0-3 | - |
| 2 | FN-201 | Corporate Finance | 3-0-0-3 | FN-101, FN-102 |
| 2 | FN-202 | Investments and Portfolio Theory | 3-0-0-3 | MATH-101, STAT-101 |
| 2 | ECON-101 | Microeconomics | 3-0-0-3 | - |
| 2 | FIN-LAB-1 | Financial Modeling Lab | 0-0-3-1 | FN-101, FN-102 |
| 3 | FN-301 | Derivatives Pricing and Risk Management | 3-0-0-3 | FN-201, FN-202 |
| 3 | FN-302 | International Finance | 3-0-0-3 | FN-201 |
| 3 | MATH-201 | Econometrics | 3-0-0-3 | MATH-101, STAT-101 |
| 3 | FN-303 | Financial Regulation and Ethics | 3-0-0-3 | FN-201 |
| 4 | FN-401 | Quantitative Finance | 3-0-0-3 | MATH-201, FN-301 |
| 4 | FN-402 | Sustainable Finance and ESG Investing | 3-0-0-3 | FN-302 |
| 4 | FN-403 | Behavioral Finance | 3-0-0-3 | FN-202 |
| 4 | FN-404 | Fintech and Digital Payments | 3-0-0-3 | FN-301 |
| 5 | FN-501 | Advanced Derivatives and Hedging Strategies | 3-0-0-3 | FN-301, FN-401 |
| 5 | FN-502 | Fixed Income Securities | 3-0-0-3 | FN-202 |
| 5 | FN-503 | Financial Engineering and Algorithmic Trading | 3-0-0-3 | FN-401, MATH-201 |
| 6 | FN-601 | Corporate Governance and Risk Analysis | 3-0-0-3 | FN-301 |
| 6 | FN-602 | Advanced Investment Strategy | 3-0-0-3 | FN-402 |
| 7 | FN-701 | Capstone Project in Finance | 0-0-6-6 | All previous courses |
| 8 | FN-801 | Thesis Research in Finance | 0-0-0-12 | All previous courses |
Advanced Departmental Electives
The following departmental electives are offered to allow students to specialize further in areas of interest:
- Financial Modeling and Data Analytics: This course teaches students how to build predictive models using Python, R, and SQL. It includes real-world datasets from financial institutions and focuses on applying statistical methods to assess risk and returns.
- Fixed Income Markets and Bond Valuation: Students learn about bond pricing mechanisms, yield curves, and credit risk assessment in fixed income markets. Practical sessions involve working with actual bond portfolios and using Bloomberg Terminal for data analysis.
- Algorithmic Trading and Market Microstructure: This course explores how high-frequency trading algorithms function and how they interact with market liquidity. Students simulate trading strategies and analyze order book dynamics.
- Behavioral Biases in Financial Decision-Making: A deep dive into psychological influences on investment choices, including loss aversion, overconfidence, and anchoring bias. Case studies from financial bubbles and crashes are analyzed to illustrate key concepts.
- Quantitative Risk Management: Focuses on measuring and managing financial risk using VaR (Value at Risk) models, stress testing, and scenario analysis. Students learn to implement risk management frameworks in real-world applications.
- Global Financial Crisis and Policy Response: Examines major financial crises such as the 2008 subprime mortgage crisis and the dot-com bubble. Students analyze policy responses and their long-term impacts on global financial systems.
- Blockchain and Cryptocurrency Markets: Covers blockchain technology, smart contracts, and decentralized finance (DeFi). Students evaluate cryptocurrency exchanges and explore regulatory challenges in digital asset markets.
- Financial Statement Analysis and Valuation: Provides tools for analyzing company performance using financial statements. Students conduct detailed valuations of public firms and learn to assess business sustainability and growth potential.
- Emerging Markets and Capital Flows: Analyzes the role of emerging economies in global finance, focusing on capital inflows, currency fluctuations, and investment opportunities in developing countries.
- Regulatory Compliance in Financial Services: Examines the regulatory landscape in financial services, including Basel III, MiFID II, and Dodd-Frank Act. Students understand how compliance affects business operations and risk management.
Project-Based Learning Philosophy
Our program emphasizes project-based learning as a cornerstone of educational excellence. Projects are designed to mirror real-world financial challenges, allowing students to apply theoretical knowledge in practical settings. Mini-projects begin in the third semester, where students work in small teams on specific topics like stock market analysis or portfolio optimization.
The final-year capstone project requires students to select a topic relevant to current trends in finance, such as ESG investing, algorithmic trading, or fintech innovations. Each student is paired with a faculty mentor who guides them through research, data collection, and presentation preparation. Projects are evaluated based on originality, technical rigor, clarity of communication, and contribution to the field.
Students can also propose their own project ideas, subject to approval by the department head. These projects often lead to publications in academic journals or presentations at national conferences, enhancing student profiles for graduate school applications and job placements.