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 a numerate subject, e.g. mathematics, physics, engineering, economics; along with some evidence of a mathematical background, such as having taken and passed mathematics modules in at least some of calculus, algebra, statistics and numerical analysis.

Other routes of entry

If you don’t currently meet the academic requirements for this course, INTO University of Stirling offers a variety of preparation programmes that can earn you the qualifications and skills you need for direct entry.

Explore INTO Stirling programmes to see the pathway and pre-masters routes available for this course and others at the University of Stirling.

Months of entry

January, 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.

Yet, there is a recognised shortage of qualified analysts, both in the UK and globally, to make the most of this data and to meet the demands of industry. In particular, the demand is for graduates who can both manage the data (the computing skills), and analyse the data to extract patterns, build models and make predictions (the mathematics skills). It is only with these analytical skills can the full value of data be extracted.

Launching in 2018, our MSc is one of the first courses to link these two key areas, making it uniquely positioned to help you meet this demand. The course focusses on the application rather than pure theory of mathematics and is assessed primarily through coursework, developing those skills which are in high demand by the data industry.

The course will provide you with a strong foundation in the mathematical analysis of data-driven systems and help you develop your computing skills, from programming Python and R, to advanced techniques including Artificial Intelligence and Machine Learning, to applying the techniques you learn on a large scale. You will learn the techniques used to approach data and build models using computational analysis and understand the mathematics underpinning these techniques.

Our graduates have gone on to work in financial institutions, major energy firms, sport and fitness, start-ups, NHS, Environmental agencies, the Scottish Government, as well as gone onto undertake PhDs in UK and overseas.

Stirling is associated with 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.

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 Indicator 6.0 with a minimum of 5.5 in each sub-skill
  • Cambridge C1 Advanced (CAE) 169 overall with a minimum of 162 in each sub-skill
  • Cambridge C2 Proficiency (CPE) 180 overall with a minimum of 162 in each sub-skill
  • Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill
  • IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
  • IBT TOEFL Special Home Edition Test 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing
  • Trinity ISE II Pass overall with a Pass in each sub-skill, ISE III Pass overall and in all sub-skills, ISE IV Pass overall and in all sub-skills
  • Aptis (4 skills) CEFR B2 overall and B2 in all sub-skills
  • Duolingo 95 overall with a minimum of 90 in all sub-skills
  • LanguageCert International ESOL B2 Communicator - Pass with minimum 33 in each sub-skill

If you are from India, Bangladesh, Ghana or Nigeria please also check your country/region specific page for any additional, or changes to, English language requirements.

For more information on ways that you can meet our English language requirements, including options to waive the requirement, please read our information on English language requirements.

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

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
University of Stirling
Email
study@stir.ac.uk