Financial Mathematics MSc

Program Overview

The MSc Financial Mathematics at University of Birmingham Dubai equips students with mathematical and computational skills for careers in quantitative financial analysis. It covers principles of financial modeling, stochastic processes, risk analysis, and emerging computational techniques, preparing graduates for roles in financial institutions and postgraduate research.

Program Outline

Degree Overview:

The MSc Financial Mathematics program at the University of Birmingham Dubai is designed to equip students with the skills needed to apply quantitative training to financial analysis. It caters to individuals with a strong undergraduate background in mathematics, economics, finance, or related fields with a strong mathematical component. The program aims to develop a specialization in financial mathematics, providing students with technical skills for a career in quantitative financial analysis.

Objectives:

• Develop the ability to apply mathematical and scientific knowledge to financial analysis, identifying, critically analyzing, and evaluating scenarios within the sector.
• Train specifically in independent study and research, an essential skill for a quantitative analyst.
• Gain a knowledge and understanding of:
• The theory and application of financial modeling and data analysis.
• The theory of Stochastic or random processes and their modern application within finance.
• Portfolio management and hedging.
• The theory of risk analysis and risk management and their applications within finance.
• Modern and emerging computational techniques as applied to the financial services sector.
• Develop the following skills:
• The ability to model financial processes and to analyze and interpret associated data.
• Proficiency in utilizing computational and programming techniques and tools employed in a variety of modern financial applications and scenarios.
• The ability to undertake a critical analysis of a problem based upon the fundamental principles of finance and determine appropriate solution pathways.

Outline:

The program is delivered full-time over one year and consists of both core and optional modules.

Core Modules:

• Advanced Mathematical Finance: 20 credits
• Financial Mathematics Dissertation: 60 credits
• Mathematical Finance: 20 credits
• Numerical Methods and Numerical Linear Algebra: 20 credits
• Statistical Methods in Finance and Economics: 20 credits
• Stochastic Processes: 20 credits

Optional Modules:

• Intelligent Data Analysis: 20 credits
• Machine Learning: 20 credits

Course Schedule:

• Classes are offered on weekday evenings from 18:00-21:00 and on Saturday and Sunday between 09:00-15:00.
• The program is taught full-time only.

Teaching:

• The program is delivered through a combination of mid-week and weekend classes.
• The program is taught by experienced faculty members, including Dr. David Leppinen, Senior Lecturer in Mathematics.

Careers:

Graduates from the MSc Mathematical Finance program are well-prepared for quantitatively demanding positions in financial institutions, with state-of-the-art mathematical methods, computational skills, and programming expertise. They work in a wide variety of fields in governmental and multinational organizations. The degree also provides an ideal basis for postgraduate research, either for purely academic ends or to further qualify graduates for work in financial institutions.

Other:

• The program is subject to Ministry of Education Accreditation.
• The program is designed to accommodate those who choose to study full-time.
• The program emphasizes the importance of independent study and research, which is an essential skill for quantitative analysts.
• The program highlights the global impact of random events on the global economy.
• The program emphasizes the importance of assessing and reducing risks when exploring investment opportunities in the face of uncertainty.

Annual tuition fee for 2024 entry: MSc - AED 128,774 for 1 year full-time. Your tuition fee can be paid in 3 instalments per year. Scholarships are available.