Bachelor of Science in Financial Mathematics

Financial Mathematics is a great choice for someone who likes maths and wants to work in the business, financial or banking sectors. Business degrees tend to have very little maths, so most employers are very keen to hire graduates with good quantitative skills as well as a financial background.

Why Study Financial Mathematics at UL?

The aims of the degree are to produce graduates with developed mathematical, statistical and computing skills, and the ability to apply them to the quantitative analysis of industrial, commercial or financial business decisions.

The programme also aims to produce graduates with sufficient mathematical, statistical and computing skills for them to undertake postgraduate work in these or related areas

These aims give rise to the following objectives:

• To provide an education at a suitable level in the appropriate branches of mathematics, both by exploring and developing standard methods and techniques with due use of mathematical, symbolic and statistical computing packages and by having due regard to the fundamental ideas of proof, rigour and generalisation.
• To introduce you to state of the art theory and methodologies in the world of pricing of financial products and modelling of markets and the practical implementations of these models.
• To demonstrate the application of mathematics to problems drawn from industry, commerce and financial services.
• To provide you, through Cooperative Education placement, with experience of working in a company or department where your own developing skills can be utilised.

Employability skills from this degree

• Numeracy and the ability to research, interpret and use business and financial data
• Advanced numeracy and analysing large quantities of data
• Logical thinking
• Teamwork and the ability to work independently
• Finding patterns and drawing conclusions
• Approaching problems in an analytical and rigorous way
• Formulating theories and applying them to solve problems
• Dealing with abstract concepts
• Presenting mathematical arguments and conclusions with accuracy and clarity