Graduates will receive a grounding in fundamental software development before specialising in the emerging field of Data Science. Topics will include: statistics, data analytics, data engineering, visualisation, as well as machine learning and artificial intelligence. Throughout, graduates will obtain the requisite underpinning of technical knowledge, combined with key capabilities in data governance and the application of ethics, with a focus on well-rounded professional skills and behaviours.
Mode of Study:
Our entry requirements indicate both Standard and Minimum qualifications with which we normally accept students. Competition for places varies from year to year and you aren't guaranteed a place if you meet the minimum qualifications.
Standard Entry Requirements
BBBB including Computing or maths plus Nat 5 English at C. Nat 5 Maths at C is also required if not taken at Higher.
You may be given an Offer of entry if you meet our specified minimum entry requirements within our widening participation criteria, and outlined in our Contextual Admissions Policy. For further information see our entry requirements and admissions policies.
BBC including Computing or Maths plus GCSE English at C/4.
We’re committed to admitting students who have the potential to succeed and benefit from our programmes of study.
Our admissions policies will help you understand our admissions procedures, and how we use the information you provide us in your application to inform the decisions we make.
Undergraduate admissions policies
Postgraduate admissions policies
Graduate Apprenticeships are free to employers and apprentices because they are funded by the Apprenticeship Levy. Applications are welcomed from any organisation whether or not they are levy payers.
The course fees you'll pay and the funding available to you will depend on a number of factors including your nationality, location, personal circumstances and the course you are studying. We also have a number of bursaries and scholarships available to our students.