Detailed Syllabus

Semester 1: Core Business & Financial Foundations

1. Principles of Management
   • Organizational behavior, leadership, strategic planning
   • Case studies (e.g., Tesla’s financial strategy)
2. Managerial Economics
   • Demand-supply analysis, pricing strategies, macroeconomics
   • Impact of GDP, inflation, and fiscal policies on finance
3. Financial Accounting & Reporting
   • GAAP/IFRS standards, balance sheets, cash flow statements
   • Financial ratio analysis (liquidity, solvency, profitability)
4. Quantitative Methods for Finance
   • Time value of money, statistical tools, regression analysis
   • Excel/SPSS for financial modeling
5. Business Communication & Ethics
   • Financial reporting, presentation skills, corporate governance

Semester 2: Advanced Financial Concepts

1. Corporate Finance
   • Capital budgeting (NPV, IRR), cost of capital (WACC)
   • Leverage, dividend policies, M&A valuation
2. Investment Analysis & Portfolio Management
   • Equity/debt instruments, CAPM, Sharpe ratio
   • Mutual funds, ETFs, algorithmic trading
3. Financial Markets & Institutions
   • Stock markets, forex, commodities, derivatives
   • Role of SEBI, RBI, Basel III norms
4. Risk Management & Derivatives
   • Hedging strategies, futures, options, swaps
   • Value at Risk (VaR), credit risk models
5. International Financial Management
   • Forex risk, arbitrage, cross-border investments
   • Trade finance (LCs, currency swaps)

Semester 3: Specializations & Electives

1. Behavioral Finance
   • Psychological biases in investing (e.g., herd mentality)
   • Case studies (Bitcoin bubbles, GameStop saga)
2. FinTech & Digital Finance
   • Blockchain, AI in trading, robo-advisors
   • CBDCs, UPI, Open Banking (API ecosystems)
3. Private Equity & Venture Capital
   • Startup valuation, term sheets, exit strategies
   • Case studies (Sequoia, Tiger Global)
4. Financial Statement Analysis
   • Forensic accounting, detecting financial fraud
   • EVA (Economic Value Added), DuPont analysis
5. Electives (Choose One)
   • Wealth Management (Tax planning, estate management)
   • Mergers & Acquisitions (LBOs, hostile takeovers)

Semester 4: Practical Applications & Research

1. Internship with Financial Firms
   • Roles in investment banks (Goldman Sachs), AMCs (HDFC MF), or fintech startups
2. Research Dissertation
   • Topics:
     • "Impact of AI on Stock Market Predictions"
     • "ESG Investing Trends in Emerging Markets"
3. Financial Software Training
   • Bloomberg Terminal, Reuters Eikon, SAP FICO
   • Python/R for algorithmic trading
4. Electives (Choose One)
   • Fixed Income Securities (Bond pricing, yield curves)
   • Startup Finance (Bootstrapping, VC funding)

Additional Components

• Certifications Prep
  • CFA, FRM, NISM series (integrated into coursework)
• Industry Workshops
  • Trading simulations, IPO case studies (e.g., Paytm IPO)
• Guest Lectures
  • CXOs from JP Morgan, BlackRock, SEBI officials

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