Why choose Financial Mathematics MSc/PGDip at Middlesex?

Financial mathematics is crucial for the functioning of global economic institutions. It applies mathematical theory to predict market behaviour, recommend investment strategies, and manage risk.

 

Our degree is designed for graduates who want to begin careers in the financial sector. Previous students have gone on to work in actuarial, tax, quantitative/research analyst positions in a variety of large companies and government bodies.

We ensure that the work you do is totally relevant to the world of work. Through our partnership with the Chartered Institute for Securities and Investment (CISI), a financial sector professional body, we will help you develop a professional overview of the financial sector as well as advanced quantitative skills.

 

It has the significant advantage of no-experience necessary training in computer programming and data analysis, allowing you to develop first-class computing skills alongside your mathematical expertise. Our thorough and rigorous syllabus requires no prior experience of finance and will refresh your mathematical skills in the first few weeks. Core modules and most options are 100% coursework based, helping you build a portfolio of solutions to complex problems in finance using real market data relevant to employers.

 

What you will gain

Our degree is the only MSc Financial Mathematics course in partnership with the Chartered Institute for Securities and Investment (CISI) a financial sector professional body, to ensure students develop a professional overview of the financial sector as well as advanced quantitative skills. Completing our course grants an MSc/PGDip and two internationally recognised professional qualifications (Bloomberg Market Concepts and CISI Introduction to Investment).

 

You’ll develop an advanced understanding of the concepts and techniques of financial mathematics and statistics, and the quantitative and analytic skills highly sought after by employers in the financial sector.

 

You’ll learn a variety of software packages and programming languages and develop the technical skills necessary for the rapid analysis of large volumes of financial data.