Skip navigation
Mathematics and Data Science at Middlesex University - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Overview Data Scientist is in the top-ten of emerging jobs according to the LinkedIn emerging jobs report. Graduates that can combine their mathematical skills and statistical modelling to make sense of big data are in high demand. Studying BSc Mathematics and Data Science with us will provide a platform for you to enter this important sector. Additionally, as a Mathematics graduate you can find employment in any number of different careers including IT, finance and teaching. Why study BSc Mathematics and Data Science at Middlesex University? We believe strongly that the work you do must be relevant to the world of work – that's why our course has a strong practical slant. The core focus of your degree will be understanding the mathematical theory underpinning data science and learning within a practical setting to develop key skills for future employment. This degree offers an opportunity to obtain practical real-life experience of working and analysing big data, in addition to being taught and supported by staff that work and research in all areas of mathematics, with expert knowledge from the industry. You’ll build on theory to deliver practical solutions to a variety of real-world big data problems. The project-based assessment will give you a practical education and prepare you to apply your mathematical skills to one of the top emerging job sectors. Throughout your degree there will be scope to develop your programming and software skills, as well as learn new skills within a work environment through placement opportunities. Course highlights Modules that teach techniques from machine learning and artificial intelligence Project and coursework based assessment, no end-of-year exams Large, 60 credit third year project allows you to demonstrate the accumulation of your knowledge to develop a significant piece of work.


How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2
  • Year 3

Entry requirements

Qualification requirements


English language requirements

TestGradeAdditional details
IELTS (Academic)6With a minimum of 5.5 in each component
TOEFL (iBT)72With at least 17 in listening & writing, 20 in speaking and 18 in reading
PTE Academic59With at least 59 in all components

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

Channel Islands £9250 Year 1
EU £16600 Year 1
England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
International £16600 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

At Middlesex, we have a range of funding and loan options available to ensure you are able to attend university, whatever your financial background. Tuition fees vary for UK, EU and International students. More information about fees for the course you are interested in studying can be found at: https://www.mdx.ac.uk/courses/undergraduate/mathematics-data-science
Mathematics and Data Science at Middlesex University - UCAS