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MSc Financial Technology (Computer Science)

MSc Financial Technology (Computer Science)

Different course options

Full time | Colchester Campus | 1 year | 05-OCT-23

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Computer Science

Course type


Course Summary

To be competitive in our modern financial industry, it is not enough for a scientist to know how to write software, nor is it enough that one can mathematically analyse markets based on simplifying assumption by ignoring the computation required.

Our MSc Financial Technology (Computer Science) course give you the understanding of the specifics and the intricacies of financial and economics markets, the ability to apply advanced computing methods and the ability to design and program solutions that successfully exploit the synergy between finance, economics, and computation.

Our course will cover areas including:

  • financial markets
  • big data analytics
  • blockchain
  • AI
  • python programming

Our course will give you both the theoretical and technical skills that are specific for the finance industry, as well as transferable skills such as the ability to develop and present an argument, and the ability to work independently and in groups.

The MSc Financial Technology suite of courses has three unique variants for you to explore so you can tailor your master’s in financial technology to suit your interests and goals. In addition to our MSc Financial Technology (Computer Science) course, there is also the option of MSc Financial Technology (Finance) and MSc Financial Technology (Economics), giving you the chance to specialise in your preferred area of study.

Your future

Our MSc Financial Technology (Computer Science) course will equip you with the skillset at the intersection of computer science, economics, and finance. You’ll gain expertise that is in high demand in the finance industry in the UK and will become competitive in one of the primary recruiting sectors in the country and beyond.

With a skillset that combines both technical and analytical know-how from internationally known hubs within our university, our graduates will be able to find employment in very competitive financial institutions.


This dissertation is worth% and is submitted to FASer and the school in week 48. The presentation is worth 10% and takes place in weeks 49/50.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

We will consider applicants with a 2:2 degree in Computer Science, or a related subject such as: Engineering, Finance, Economics, Mathematics, Statistics, Physics. We will accept graduates of any other degree that includes modules relating to Mathematics (calculus) or Econometrics (probability, statistics).