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    School of Natural and Computing Sciences Logo
  • Study Type

    Full time available

  • Subject Areas


  • Start Date


  • Course Duration

    1 Year Full Time

  • Course Type


  • Course Fees

    Find out about fees:

    View course fees on the programme page

  • Last Updated

    29 March 2019

If you want to work at top level in financial services, domestic energy, pensions, banking, insurance and other industries reliant on mathematics to provide programming and analysis of big data this programme will help you apply your skills to these industries and many others.

The programme gives you a rigorous method of acquiring vital skills which financial industries amongst others are looking for. You learn financial programming and work with the big data sets used in the above industries, banking and many other industries. There are many new innovation areas and industries which rely on these skills to design processes and methods to monitor big data. The 'Internet of Things' (IOT) and its applications and devices also rely upon similar methods to industry applications in order to help individuals calculate and receive instant numerical reporting on smartphones, comparison sites, banking applications and more to support purchase decisions based on multiple factors.

You are taught by international academics, researchers, and consultants in the School of Natural and Computing Science. Research at the School enables a plentiful supply of innovative methods and knowledge to support and enhance your studies. Research covers Algebra, Group Theory, Representation Theory, Robotics, Topology, and wider applications across disciplines.

Many organisations particularly in the financial sector require quite complex financial transactions to be completed within their systems and databases internally and externally in order to provide the most up to date financial information to customers. Other organisations particularly within trading and investment areas, currencies and international organisations rely on modelling and scenarios to ensure their business models survive change. There are a lot of businesses and applications that require somebody with Financial Mathematics to set up systems which allow internal and external customers to see exact information whilst calculations go on behind the scenes. The insurance, pensions and domestic energy industries are good examples of business which requires a specific ability to provide advanced methods of calculation.

Courses listed for the programme

Semester 1

  • Discrete Time Modules
  • Economics Theory for Finance
  • Economics Theory and Data Analysis for Finance
  • Mathematics for Finance

Semester 2

  • Continuous Time Models
  • Time Series

Semester 3

  • Dissertation

Find out more detail by visiting the programme web page

Visit UsAberdeen, Online In Your Country

Why study at Aberdeen?

  • You get access to Thomson Reuters Eikon trading floor to integrate study with real time trading
  • We are supported by strong research collaborations with the Institute of Pure and Applied Mathematics
  • You are also supported by our Business School
  • Skills which are essential to financial economists in private and public sector are taught to develop rigour and confidence

Where you study

  • University of Aberdeen
  • Full time

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Visit the Financial Mathematics MSc page on the Aberdeen University website for more details!





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