Course Structure Overview
The Finance program at SANGHVI INSTITUTE OF MANAGEMENT AND SCIENCE PGDM is structured over two years, comprising four semesters. The curriculum is designed to provide a balanced blend of theoretical knowledge and practical application, ensuring students are well-prepared for careers in finance.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | FIN101 | Financial Accounting | 3-0-0-3 | - |
| 1 | FIN102 | Economic Theory | 3-0-0-3 | - |
| 1 | FIN103 | Quantitative Methods | 3-0-0-3 | - |
| 1 | FIN104 | Introduction to Finance | 3-0-0-3 | - |
| 2 | FIN201 | Corporate Finance | 3-0-0-3 | FIN101, FIN103 |
| 2 | FIN202 | Investment Analysis | 3-0-0-3 | FIN101, FIN103 |
| 2 | FIN203 | Risk Management | 3-0-0-3 | FIN103 |
| 2 | FIN204 | Financial Markets and Institutions | 3-0-0-3 | - |
| 3 | FIN301 | Derivatives | 3-0-0-3 | FIN202, FIN203 |
| 3 | FIN302 | Fixed Income Securities | 3-0-0-3 | FIN201, FIN202 |
| 3 | FIN303 | Financial Engineering | 3-0-0-3 | FIN201, FIN203 |
| 3 | FIN304 | Advanced Financial Analysis | 3-0-0-3 | FIN201, FIN202 |
| 4 | FIN401 | Portfolio Management | 3-0-0-3 | FIN301, FIN302 |
| 4 | FIN402 | Strategic Financial Planning | 3-0-0-3 | FIN201, FIN303 |
| 4 | FIN403 | Advanced Risk Analytics | 3-0-0-3 | FIN203, FIN301 |
| 4 | FIN404 | Capstone Project | 0-0-0-6 | All previous courses |
Advanced Departmental Electives
The advanced departmental electives offered in the Finance program are designed to provide students with specialized knowledge and skills in niche areas of finance. These courses include:
- Quantitative Finance: This course delves into mathematical models used in financial markets, including stochastic calculus, option pricing, and Monte Carlo simulations.
- Behavioral Finance: Students explore how psychological biases influence financial decision-making and market behavior through case studies and empirical research.
- Sustainable Finance: This elective covers ESG investing, green bonds, and sustainable investment strategies in global markets.
- Fintech & Digital Finance: The course explores the intersection of technology and finance, focusing on blockchain, cryptocurrency, digital payments, and regulatory compliance.
- International Finance: Students analyze exchange rate determination, international capital flows, and global financial systems.
- Risk Analytics: This course focuses on advanced risk measurement techniques, including Value at Risk (VaR), Expected Shortfall (ES), and stress testing methodologies.
- Corporate Governance & Ethics: Students examine the role of corporate governance in financial decision-making and ethical dilemmas in finance.
- Investment Banking & M&A: The course covers underwriting, valuation techniques, and deal structuring in investment banking and M&A.
- Credit Risk Modeling: This elective teaches students to model and assess credit risk using historical data and statistical models.
- Financial Markets Regulation: Students explore regulatory frameworks governing financial markets and their impact on market stability.
Project-Based Learning Philosophy
The Finance program at SANGHVI INSTITUTE OF MANAGEMENT AND SCIENCE PGDM places a strong emphasis on project-based learning. This approach ensures that students apply theoretical knowledge to real-world financial problems, enhancing their analytical and problem-solving abilities.
Mini-projects are integrated throughout the curriculum, starting from the second semester. These projects involve working in teams to analyze financial data, develop models, and propose solutions to specific financial challenges. Students are required to present their findings to faculty members and peers, fostering critical thinking and communication skills.
The final-year capstone project is a significant component of the program. Students select a topic relevant to their specialization and work closely with a faculty mentor to conduct in-depth research or solve an industry problem. The project culminates in a comprehensive report and presentation to industry experts and faculty members.
Project selection is based on student interests, faculty expertise, and industry relevance. Faculty mentors guide students through the entire process, from defining research questions to validating results and preparing presentations.