PGDip Financial Mathematics

at Middlesex University

• The program covers fundamental topics in mathematics, such as probability theory, stochastic calculus, and numerical methods, which are essential for financial modelling and risk management.
• Students learn about various financial instruments, including options, futures, and derivatives, and how to price and hedge them using advanced mathematical techniques.
• The course also delves into portfolio theory, asset allocation, and risk management strategies, equipping students with the skills to manage investment portfolios effectively.
• Computational finance and programming techniques are taught, enabling students to implement and simulate financial models using software tools like MATLAB or Python.
• The curriculum includes a research project or dissertation, allowing students to apply their knowledge to a specific area of financial mathematics and gain practical experience.

Course Modules

• Risk Measurement
• Portfolio Analysis
• Financial Data and Professional Practice
• Fixed Income and Derivatives
• Stochastic Calculus and Pricing Derivatives

Important Dates

Currently, Middlesex University is not accepting applications for this particular course. Students who want to apply for this programme should frequently visit the university's website to check if they have announced when they will start taking applications again. The website will let students know once the application process is open, and that's when interested applicants can submit their applications.

• Individuals who have obtained a lower-second class honours (2:2) degree, or an equivalent qualification, in a relevant field of study are eligible to apply.
• Non-native English speakers must secure an overall IELTS score of at least 6.5, ensuring that no individual band score falls below 5.5.

The Middlesex University charges £ 17,300/yr as tuition fees for the PGDip Financial Mathematics programme. Students should check the university's website frequently for any updates on programme fees. The fees can change yearly, depending on whether the student is domestic or international, and whether they are studying full-time or part-time. The website contains the latest fee information,along with any additional costs that may be involved.

Graduates of this programme are prepared for quantitative roles in the financial services industry. Potential careers include financial risk analyst, quantitative trader, investment analyst, data scientist, or financial engineer at banks, hedge funds, insurance companies, fintech firms, and other financial institutions. The programme's focus on mathematical and computational techniques used in portfolio management, derivative pricing, risk modelling, and quantitative finance equips students with sought-after technical skills. Some may also pursue opportunities in financial regulation, and consulting, or continue to research roles by further advancing their studies.