Taught course

Mathematics and Data Science

Institution
University of Stirling · Faculty of Natural Sciences
Qualifications
MSc

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Entry requirements

A minimum of a second class Honours degree, or equivalent, in either a mathematics (joint or single honours) or other numerate subject, e.g. physics. Other degrees will also be taken into account, if it can be shown that some mathematical study took place and you have taken and passed advanced mathematics modules in at least some of calculus, algebra, statistics and numerical analysis.

Applicants without these formal qualifications but with significant and appropriate work/life experience are encouraged to apply.

Months of entry

September

Course content

The field of Data Science has seen rapid growth in recent years, with vast amounts of data now being generated by major companies and service providers.

At the same time, it’s recognised that there’s a shortage of qualified analysts, both in the UK and globally, to make the most of this data. Crucially, there’s now a shortage of mathematics graduates with the data analysis skills needed to meet the demands of industry.

Our MSc Mathematics and Data Science is one of the first courses to link the two key areas of mathematics and data science, making it uniquely positioned to help you meet this demand.

The course will provide you with a solid foundation in the mathematical analysis of data-driven systems and help you develop your computing skills to apply the techniques you learn on a large scale. You’ll learn the techniques used to approach data using computational analysis and understand the mathematics underpinning these techniques.

Stirling is a member of The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It facilitates industry involvement and collaboration, and provides funding and resources for students.

Watch our webinar

Find out more about our MSc Mathematics and Data Science course, as well as life at Stirling. Watch our webinar >>

Information for international students

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:

  • IELTS: 6.0 with 5.5 minimum in each skill
  • Cambridge C1 Advanced (CAE) 169 with minimum of 162 in each skill
  • Cambridge C2 Proficiency (CPE) 180 with minimum 162 in each skill
  • Pearson Test of English (Academic): 54 with 51 in each component
  • IBT TOEFL: 80 with no subtest less than 17

More information on our English language requirements.

Fees and funding

UK students
£8000
International students
£20,750

Datalab Funding 2020: For the past four years, we have been able to offer Datalab funded places on our MSc courses to students from Scotland and the EU. We hope to have more funded places available for 2020. Places will be awarded on a first come, first served basis, so apply now and we will inform you of the status of funding as soon as we can.

Please consult our website for up-to-date information on course fees and funding.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
  • Further details of qualification

    MSc students complete two taught semesters and a three month project/dissertation. Alternatively, the PgDip may be awarded after two taught semesters, or the PgCert if not all modules are passed. Part-time study is also available, with the taught part of the programme being taken over four semesters.

Assessment

AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations33
Written coursework / continuous assessment33
Dissertation33 (15000 words)

Course contact details

Name
Dr Andrew Hoyle
Email
andrew.hoyle@stir.ac.uk