MBA in General

TERM 3

Course 1: Marketing Management (3 Credits)

• Develop a deep understanding of marketing principles, strategies,
  and channels to reach and engage target audiences effectively.
• Key topics:
  Marketing Foundations, Marketing Strategy Development, Integrated
  Marketing Channels, Brand Positioning, Customer Behavior Analysis,
  Digital Marketing Techniques, Market Segmentation Strategies

Course 2: Financial Management and
Valuation (3 Credits)

• Gain essential financial management and valuation skills to assess
  company performance and make informed financial decisions
• Key topics:
  Financial Management, Valuation Techniques, Capital budgeting,
  Cost of capital, Risk analysis, Financial statement analysis, and Asset
  valuation methods

Course 3: Capital Markets and Instruments

• Understand the fundamentals of capital markets and key financial
  instruments, including equity, fixed income, and derivatives.
• Key topics:
  Introduction to Capital Markets, Equity and Fixed Income Instruments

Course 4: Business Ethics & Corporate
Social Responsibility (3 Credits)

• Learn to apply ethical principles and corporate social responsibility
  (CSR) practices in business decision-making and operations.
• Key topics:
  Introduction to Business Ethics, Ethical Decision-Making, Ethics in
  Business Practices, Ethics for Finance Managers, Corporate Governance,
  Stakeholder Responsibility, and Practical Applications of Business Ethics

Course 5: Artificial Intelligence (3 Credits)

• Gain a comprehensive understanding of AI’s impact on business,
  its strategic applications across industries, and the ethical
  considerations surrounding its use
• Key topics:
  Era of Artificial Intelligence, Real-World AI Applications, AI Techniques
  and Strategy, Industry-Specific AI Applications, AI in Banking and
  Finance, Developing an AI Strategy, Ethics in AI, AI Regulations,
  AI Governance Models, and Future AI Technologies.

Course 6: Introduction to Business
Analytics using Python

• Master business analytics using Python, covering data handling,
  visualisation, modelling, and optimisation techniques for effective
  decision-making
• Key topics:
  Business Analytics, Python Basics, Data Handling, Pandas, Data
  Visualization, Probability, Data Modeling, Time Series, Forecasting,
  Machine Learning, Optimization, Simulation, Monte Carlo Methods
  Derivatives, Alternative Investments, Market trading mechanisms and
  Risk and return analysis