Taught course

Business Data Analytics

Bangor University · Bangor Business School

Entry requirements

Candidates should have a good first Honours degree of 2(ii) or higher or equivalent from a university or another approved degree-awarding body. Alternatively, possession of an approved professional qualification and relevant practical experience may also be considered. Candidates who do not have a formal degree or professional qualification, but have minimum 3 year of approved management experience will also be considered.

We ask that all candidates submit their CV with their application system to confirm eligibility for a specific route.
If your native language is not English, you must provide satisfactory evidence that you have an adequate knowledge and understanding of written and spoken English: IELTS score of 6.0 (no component below 5.5) or equivalent.
Please note: It may be necessary for applicants falling short of minimum English language levels to attend an intensive Pre-sessional English Language course. Such courses are available at Bangor.

Months of entry

January, September

Course content

Data analytics attracts considerable international attention, with the current and forecasted demand for skilled graduates in data analytics far outstripping the supply. There has been a phenomenal recent growth rate in the need for expertise in data analytics (e.g. relating to big data, in financial technology, and in marketing). Strong and sustained trends in the ever wider proliferation of data have led to employers in varied industries and businesses seeking staff with postgraduate level skills in data analytics.

Our MSc programme is particularly focused towards employability and equipping students with the attributes to succeed in a range of potential career roles. Bangor Business School’s MSc Business Data Analytics delivers a distinct offering due to our established strengths in banking, finance, investment and marketing subjects.
As a graduate of this programme, you understand that data is increasingly important in many aspects of our everyday lives and careers. The skillsets developed in data analytics, statistical methods and quantitative applications will be highly valued and sought after in a range of business sectors. We will instill an appreciation of how different industries use data analysis, how to model data using advanced tools and coding languages, and how to communicate your insights to deliver meaningful change. You will also possess the ability to work independently to produce valuable insights for your employer or in your own business.

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

Course contact details

01248 351151