The graduates from the program are expected:
- To apply statistical and computational techniques to analyze financial datasets.
- To develop and interpret predictive models for financial forecasting.
- To identify, assess, and mitigating financial risks using analytics.
- To be proficient in using financial software such as R, Python, and Excel for data
analysis.
- To integrate analytical insights into strategic financial decision-making.
- To understand the ethical and regulatory environment in finance, emphasizing the
responsible use of data and technology.
Core courses
Course Code | Course | Credit Hours |
MFI 501 | Corporate Finance | 3 |
MFI 503 | Financial Econometrics | 3 |
MFI 505 | Financial Markets and Institutions | 3 |
MFI 509 | Introduction to Financial Modelling | 3 |
MFI 511 | Artificial Intelligence in Business | 3 |
MFI 502 | Investment and Portfolio Management | 3 |
MFI 504 | Advanced Financial Modelling | 3 |
MFI 506 | International Finance and Global Economy | 3 |
MFI 508 | Data Mining and Visualization | 3 |
MFI 510 | Public Sector Financial Management | 3 |
Mandatory course(s)
MFI 597 | Seminar on Current Issues in Financial Analytics | 2 |
Research component.
Course Code | Course Title | |
MFI 507 | Quantitative Financial Research | 3 |
MFI 598 | Thesis | 6 |
| | |
- Practical training, industrial attachment, internship, clinical experience, etc.
- Semester-by-semester structure/schedule of course, showing the credit value of each course
COMPONENTS OF THE PROGRAMME:
COURSE STRUCTURE
YEAR 1 SEMESTER 1
COURSE TITLE | COURSE CODE | T | P | C |
Corporate Finance | MFI 501 | 3 | 0 | 3 |
Financial Econometrics | MFI 503 | 3 | 0 | 3 |
Financial Markets and Institutions | MFI 505 | 3 | 0 | 3 |
Quantitative Financial Research | MFI 507 | 3 | 0 | 3 |
Introduction to Financial Modelling | MFI 509 | 2 | 2 | 3 |
Artificial Intelligence in Business | MFI 511 | 2 | 2 | 3 |
Seminar on Current Issues in Financial Analytics | MFI 597 | 0 | 4 | 2 |
Total | | 13 | 8 | 20 |
YEAR 1 SEMESTER II
COURSE TITLE | COURSE CODE | T | P | C |
Investment and Portfolio Management | MFI 502 | 3 | 0 | 3 |
Advanced Financial Modelling | MFI 504 | 3 | 0 | 3 |
International Finance and Global Economy | MFI 506 | 3 | 0 | 3 |
Data Mining and Visualization | MFI 508 | 0 | 4 | 3 |
Public Sector Financial Management | MFI 510 | 3 | 0 | 3 |
Thesis | MFI 598 | 0 | 8 | 4 |
Total | | 15 | 8 | 19 |
COURSE DESCRIPTIONS
YEAR I SEMESTER I CREDITS
MFI 501 CORPORATE FINANCE 3 Credit hours
Course Description
This course provides an in-depth exploration of corporate financial decision-making, focusing on capital structure, working capital management, corporate funding strategies, dividend policies, and financial risk management. It emphasizes value creation for shareholders, corporate governance, mergers and acquisitions (M&A), and financial restructuring. It also focuses on external financial markets and asset allocation, this course is firm-centric, dealing with internal financial strategies and managerial decision making.
Course Objectives
By the end of this course, students will be able to:
- Analyze corporate financial statements to assess financial health and performance.
- Evaluate optimal capital structure and financing decisions for firms.
- Assess corporate working capital management strategies to optimize liquidity.
- Apply financial risk management techniques to hedge corporate exposure.
- Understand the impact of corporate financial policies on firm value and shareholder returns.
Course Contents
- Foundations of Corporate Finance
- Role of corporate finance in business decision-making.
- Corporate financial management vs. investment management.
- Financial performance metrics and value maximization.
- Capital Structure and Financing Decisions
- Debt vs. equity financing.
- Cost of capital and weighted average cost of capital (WACC).
- Trade-off theory, pecking order theory, and market timing theory.
- Working Capital Management
- Liquidity management and cash flow optimization.
- Accounts receivable and payable strategies.
- Inventory management and just-in-time (JIT) financing.
- Corporate Funding and Dividend Policy
- Internal vs. external financing decisions.
- Determinants of corporate dividend policies.
- Stock repurchases vs. cash dividends.
- Mergers, Acquisitions, and Corporate Restructuring
- Valuation techniques for M&A transactions.
- Leveraged buyouts (LBOs) and spin-offs.
- Financial restructuring strategies.
- Corporate Governance and Ethical Considerations
- Corporate governance frameworks and shareholder rights.
- Agency theory and managerial compensation.
- Ethical challenges in financial decision-making.
- International Corporate Finance
- Multinational capital budgeting.
- Foreign exchange risk management.
- Political risk and financial decision-making.
- Financial Risk Management in Corporate Finance
- Interest rate risk and currency risk management.
- Corporate hedging strategies (swaps, options, futures).
- Role of financial derivatives in risk mitigation.
- Bankruptcy, Financial Distress, and Turnaround Strategies
- Causes and early warning signs of financial distress.
- Corporate restructuring and turnaround management.
- Legal aspects of bankruptcy and liquidation.
Graduates from the MSC in Finance Analytics program can pursue a wide range of
career opportunities across various industries. The following are possible employment
positions and avenues that are available to the graduates of the programme upon
graduation.
- Financial Analysts in banks, investment firms, corporate finance, and insurance
companies
- Data Analysts in technology firms, fintech companies, consulting firms, and
healthcare.
- Risk Managers in Financial Services, insurance, energy, and utilities.
- Investment Bankers in investment banks, corporate finance, and private equity
firms.
- Financial planners or Advisors in Financial advisory firms, wealth management
companies, and banks.
- Portfolio Managers in asset management firms, mutual funds, hedge funds, and
investment banks.
- Corporate Finance Managers in large corporations across various sectors.
- Quantitative Analysts in hedge funds, investment banks and asset management
firms.
- Compliance Officers in financial services, banking, insurance and regulatory
bodies.
- Chief Finance Officers (CFOs) of private and public companies, non-profit
organizations and government agencies.
- Business intelligence analysts in technology companies, retail, consumer goods,
consulting firms.
- Credit Analysts in banks, credit rating agencies, financial services.
- Regulatory Analysts in regulatory bodies, compliance departments of financial
institutions.
- Public sector financial managers in government agencies, public sector
organizations.
12. Consultations and Collaborations
