MBA in Finance
*Core Courses (Year 1)*
1. *Financial Accounting*
- Principles of accounting, financial statements (balance sheet, income statement, cash flow statement).
- Ratio analysis, GAAP/IFRS standards, and ethical considerations.
2. *Managerial Economics*
- Micro/macroeconomic principles, demand-supply analysis, cost structures, and market behaviour.
3. *Corporate Finance*
- Capital budgeting, cost of capital, capital structure, dividend policy, and working capital management.
- Valuation techniques (NPV, IRR, WACC).
4. *Quantitative Methods for Finance*
- Statistical tools, regression analysis, time-series forecasting, and financial modelling in Excel.
5. *Financial Markets and Institutions*
- Overview of equity/debt markets, banking systems, central banking, and regulatory frameworks.
6. *Investment Analysis and Portfolio Management*
- Risk-return trade-off, asset allocation, Modern Portfolio Theory (MPT), and portfolio optimization.
7. *International Finance*
- Foreign exchange markets, exchange rate risk, hedging strategies, and global capital flows.
8. *Managerial Accounting*
- Cost-volume-profit analysis, budgeting, variance analysis, and performance metrics.
*Electives/Advanced Courses (Year 2)*
1. *Derivatives and Risk Management*
- Futures, options, swaps, and their use in hedging market, credit, and operational risks.
2. *Mergers and Acquisitions (M&A)*
- Valuation in M&A, deal structuring, due diligence, and post-merger integration.
3. *Private Equity and Venture Capital*
- Fundraising, deal sourcing, valuation of startups, and exit strategies.
4. *Behavioural Finance*
- Psychological factors in financial decision-making, market anomalies, and investor biases.
5. *Financial Statement Analysis*
- Advanced techniques for analysing financial reports, detecting red flags, and forecasting performance.
6. *Fixed Income Securities*
- Bond valuation, yield curves, credit risk, and securitization (e.g., mortgage-backed securities).
7. *Fintech and Digital Finance*
- Blockchain, cryptocurrencies, robo-advisors, and AI in finance.
8. *Sustainable Finance*
- ESG (Environmental, Social, Governance) investing, green bonds, and impact measurement.
*Practical Components*
- *Case Studies*: Real-world financial challenges (e.g., corporate restructuring, IPO pricing).
- *Simulations*: Stock market or forex trading simulations using platforms like Bloomberg Terminal.
- *Capstone Project*: Solving a financial problem for a real company or creating an investment portfolio.
- *Internships*: Optional industry placements in banks, asset management firms, or corporate finance departments.
*Tools and Software*
- Excel (advanced functions, macros).
- Financial modelling tools (e.g., FactSet, Capital IQ).
- Statistical software (e.g., R, Python, SPSS).
- Bloomberg Terminal certification (often included in coursework).
*Key Skills Developed*
- Financial analysis and reporting.
- Strategic decision-making for capital allocation.
- Risk assessment and mitigation.
- Advanced data-driven financial modelling.
- Leadership in cross-functional teams.