Master in Finance (MFin)

Master in Finance (MFin)

Award: Master in Finance
Duration: 9–12 Months (Full-Time)
Total Credits: 33–36 (Equivalent to 90–100 ECTS)

Programme Overview

The Master in Finance (MFin) programme provides students with the analytical, quantitative, and strategic skills required for success in the modern financial industry. The curriculum integrates theory with practical applications across corporate finance, investment strategy, financial reporting, and risk analysis. Graduates are prepared for leadership roles in financial management, banking, investment, and FinTech sectors.

Programme Aims & Learning Objectives
  • Develop advanced expertise in corporate finance, valuation, and risk management.
  • Build proficiency in quantitative analysis, portfolio design, and financial modeling.
  • Understand international financial systems, derivatives, and market regulation frameworks.
  • Equip learners to apply FinTech innovations and data analytics for modern financial decision-making.
Category:

Description

Programme Pathway / Structure

The programme integrates core finance modules (24–27 credits) with an applied research project (6–9 credits) across two academic terms.

Code Course Title Credits Content Summary
FIN 701 Corporate Financial Management 3 Covers financial strategy, capital budgeting, cost of capital, and capital structure optimization.
FIN 702 Quantitative Finance & Risk Analysis 3 Introduces econometrics, probability models, and advanced risk management techniques.
FIN 703 Investment & Portfolio Management 3 Focuses on asset valuation, portfolio optimization, and performance measurement.
FIN 704 Financial Reporting & Analysis 3 Examines corporate financial statements, performance metrics, and IFRS standards.
FIN 705 Derivatives & Fixed Income 3 Studies pricing, trading, and hedging strategies using futures, options, and bonds.
FIN 706 FinTech & Data Analytics 3 Explores blockchain, AI in finance, and big data applications in financial decision-making.
FIN 790 Research Methods & Financial Modelling 3 Provides tools for quantitative research, forecasting, and empirical financial analysis.
FIN 799 Applied Finance Research Project 6–9 Capstone project involving investment case studies or corporate financial analysis; includes written report and oral defense.
Credit Distribution Summary
Component Credits
Core & Elective Modules 24–27
Research Methods 3
Applied Research Project 6–9
Total 33–36
Delivery & Schedule
  • Full-Time Mode: 9–12 months (2 academic terms)
  • Format: Blended (on-campus + online hybrid learning)
  • Learning Methods: Financial simulations, Bloomberg-based workshops, data analysis projects, and investment research
Term Courses Credits
Term 1 (Months 1–5) FIN 701, FIN 702, FIN 703, FIN 704 12
Term 2 (Months 6–12) FIN 705, FIN 706, FIN 790, FIN 799 (Applied Project) 21–24
Entry Requirements
  • Honours Bachelor’s degree in Finance, Accounting, Economics, or a related field.
  • Applicants with strong quantitative backgrounds or CFA Level I certification preferred.
  • GMAT optional, but may strengthen application.
  • English Proficiency: IELTS 6.5 (no band below 6.0), TOEFL iBT 90+, or an equivalent proficiency examination.
  • Required Documents: Statement of Purpose, Academic Transcripts, Two References, and Updated CV.
Key Features / Advantages
  • 9–12 month accelerated completion suitable for finance professionals and recent graduates.
  • Integration of FinTech, data analytics, and risk management tools.
  • Practical focus with Bloomberg, Excel VBA, and financial modeling applications.
  • Aligned with professional certifications (CFA, FRM, CPA).
  • Prepares graduates for roles as Financial Analyst, Investment Manager, Risk Consultant, or Corporate Finance Specialist.

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