Middlesex University

Degree level: Undergraduate

Mathematics and Data Science

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

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

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.

Course details


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 Academic516.0 (with minimum 5.5 in all components

Visit our general entry requirements page, by clicking on the link below, to see how these points can be achieved from our acceptable level 3 qualifications and the combinations which are welcomed by Middlesex University, including GCSE requirements.

Entry Qualifications

http://www.mdx.ac.uk/courses/help-with-your-application/undergraduate-application/entry-requirements


Unistats information

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

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
EU £14000 Year 1
International £14000 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics and Data Science at Middlesex University - UCAS