The importance of the financial sector as a share of national economies has been increasing worldwide. In line with this trend, the complexity and variety of financial markets and products have been rapidly growing. The financial sector has become more skill-intensive than the rest of the economy. Employability in the modern financial industry requires technical skills to analyse financial data and build mathematical models.
Graduates of the programme will have necessary knowledge and transferable skills that are required by any financial sector and other sectors who involve quantitative analysis and data-handling.
The first year of the programme focus on building students’ knowledge of fundamental mathematical and economic tools. Examples include mathematics for economists, statistics and principles of economics. The latter years of the programme take these skills to an advanced level and introduces specialised finance and data analysis modules. In addition to theoretical background, students will have an opportunity to develop practical skills, including use of software such as Microsoft Excel, EViews and MATLAB.
Upon successful completion of this programme, graduates are able to:
Bachelor of Science (Hons) in Mathematical Finance
Programme length: 3 years
The aims of the programme are to:
The graduates will be qualified to start careers as financial analysts, research associates, quantitative traders, actuaries etc. Further, the graduates will possess a competitive set of skill for jobs in other sectors where quantitative analysis and data-handling are vital.
Applicants for admission to first degree programmes must satisfy the following minimum entry requirements:
The minimum admission requirements for this programme are:
The programme will consider the accreditation process after the first batch of students has graduated. The suggested accrediting organisations are: Institute of Mathematics and its Applications (UK); International Association for Quantitative Finance (US); PRMIA Risk Accreditation Program (US).