BSc Hons Mathematics, Statistics & Finance at University of Strathclyde

Study with us

• develop mathematical and statistical expertise at the same time as increasing your skills in the largest business school in Scotland
• Mathematics, Statistics & Finance degree provides a good basis for entering the actuarial profession
• we're ranked 2nd in the UK for Accounting & Finance (Complete University Guide 2020)

Why this course?

There’s a strong emphasis on statistical techniques in data analysis and on the use of mathematical models.

Employers in the financial sector look for graduates who have experience using mathematical models, as well as a financial or accounting background. This course provides a good basis for entering the actuarial profession.

Our flexible degree structure also enables transfer between courses.

Learning & teaching

The following teaching methods are used in Mathematics and Statistics: lectures (using a variety of media including electronic presentations and computer demonstrations), tutorials, coursework and projects.

You’ll also learn through group work in problem solving and student presentations.

Finance is taught over two semesters. Diverse learning methods are used, including lectures, tutorials, and seminars alongside student-centred methods such as team-based action learning projects, online materials, and interactive sessions using personal response systems.

Our business partners are often involved in the teaching and/or assessment of student presentations.

On completion of the programme, you’ll be able to:

• demonstrate knowledge of the main areas of mathematics, statistics and accounting
• shown an understanding of the principle mathematical and financial theories and a critical understanding of one or more specialised areas
• demonstrate skills in calculation
• develop and evaluate logical arguments, presenting them and their conclusions clearly and accurately
• demonstrate a range of problem solving skills, eg abstracting the essentials of problems, formulating them and finding appropriate solutions
• undertake a critical analysis of data and draw conclusions from the data
• interpret financial data and carry out financial analysis, understanding the financial of the business, capital markets, personal investors and risk and return
• demonstrate a range of appropriate general skills including IT competency

Careers

There is a demand for mathematicians and statisticians across a range of sectors, for example, manufacturing, the actuarial, accountancy and banking professions, commerce and government, consultancy and education.

Many of our graduates go on to work as financial analysts, accountants, operations analysts, treasury analysts, auditors and management trainees.

The course is also useful for those considering a more general business career.