The financial sector is increasingly using sophisticated mathematical models to predict the development of markets and risks related to the services and products it provides. Banks, building societies, accountancy, insurance, investment and pension companies demand graduates with strong quantitative skills. This programme aims to prepare you for a successful career in these fields.
Taught by Mathematics at the School of Science and Engineering and Business at the School of Social Sciences, we ensure you can experience both the mathematical and economic perspective of the subject.
Why study this course at Dundee?
This courses offers a challenging range of modules across disciplines at the University of Dundee, one of the highest ranked universities in in UK for student experience and satisfaction.
Mathematics is central to many disciplines across a wide variety of fields particularly in the financial sector. You will enhance your analytical and critical abilities and competence in the application of mathematics to solve real world problems.
Demand for people with mathematical qualifications in the financial sector is particularly high and graduates of this programme will gain a significant advantage to further their career within the financial industry.
What's so good about this course at Dundee?
Mathematics at the University of Dundee consistently enjoys high rankings in student satisfaction and experience. It was ranked second in Scotland, and sixth in the UK by The Times & Sunday Times Good University Guide 2016.
The University has an international reputation for world class teaching and research. Mathematics at the University of Dundee was ranked top in Scotland and eighth in the UK for the quality and impact of its research.
You will be taught by staff who have experience applying mathematical models to financial problems or who have gained insight into the financial sector through practical experience or research.
The MSc Mathematics for the Financial Sector is a highly marketable qualification which will prepare you for a successful and rewarding career.
Teaching & Assessment
- How you will be taught
You'll learn by traditional methods such as lectures, tutorials, and workshops as well as via computer assisted learning. We also teach the use of professional mathematical/statistical/financial software packages in order to allow students to explore more complex problems and as a preparation for their future employment.
Individual reading and study takes a particularly important role in the summer project. For the project, we will guide you with preparation of your research project plan and to develop skills and competence in research including project management, critical thinking and problem solving, project reporting and presentation.
- How you will be assessed
About 50% of the assessments are written (formal) examinations, 35% are coursework/continuous assessment and the remaining 15% is the project report.
What you will study
The course comprises the following modules in Semester 1 and 2:
Dynamical Systems (15 credits) Stochastic Processes (15 credits) Global Financial Markets, (20 credits) Optimisation in Finance and Energy (15 credits) Derivatives & Risk Management (20 credits)
Computational Modelling (15 credits) Econometrics for Finance, (20 credits) Inverse Problems (15 credits) Global Risk Analysis (20 credits) This is complemented with a project (25 credits) over the summer, which may take the form of either a review-based analysis of applications of mathematics to the financial sector or a report based on work experience gained in the financial sector.
Non-compulsory modules of up to 30 credits can be replaced with other comparable modules such as Introduction to Data Mining and Machine Learning or Programming Languages for Data Engineering.
Employers value the precision and reasoning of mathematics graduate which makes them some of the most high-sought and highly paid graduate in the UK. This programme will equip you with analytical and decision tools required for careers in fields such as finance, banking and business.
This programme is designed distinguish our graduates from an increasingly large graduate population within these sectors.