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MSc Data Science with Business

Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Business Studies Informatics

Course type


Course Summary


  • Taught in partnership with the College of Engineering, Mathematics and Physical Sciences and the University of Exeter Business School
  • Combine core Data Science modules, taken from MSc Data Science, with modules in Management, Strategy, Marketing and Accounting
  • Designed for those seeking to gain an understanding of Data Science theory which can then be applied throughout a business
  • Use your background in science and/or mathematics as well as prior programming experience to quickly become comfortable working in a number of languages, such as C+
  • Undertake a business-focussed project as you explore data science in a commercial environment, and if your studies are sponsored by your company, your project may focus on a current challenge within the business.


Data Science is changing the way people do business. Mountains of previously uncollectable data, generated by huge growth in online activity and appliance connectivity, is becoming available to businesses in every sector. The opportunities for businesses and individuals who can manage, manipulate and extract insights from these enormous data sets are limitless. A direct result of this is the dramatic increase in demand for individuals with the skills to turn this information into insight is outstripping supply.

Graduate destinations

Whether you’re looking to take your career in a new direction or for an MSc that will sit alongside your undergraduate degree to land you an exhilarating graduate job, you’re unlikely to find a better choice than Data Science.


Artificially intelligent machines and software must assimilate data from their environment and make decisions based upon it. Likewise, we live in a data-rich society and must be able to make sense of complex datasets. This module will introduce you to machine learning methods for learning from data. You will learn about the principal learning paradigms from a theoretical point of view and gain practical experience through a series of workshops. Throughout the module, there will be an emphasis on dealing with real data, and you will use, modify and write software to implement learning algorithms. It is often useful to be able to visualise data and you will gain experience of methods of reducing the dimension of large datasets to facilitate visualisation and understanding.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course. The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.

University information

The University of Exeter is a research university that is a member of the leading research- oriented UK universities, The Russell Group, The European University Association and the AMBA. As demonstrated in the REF 2014, 98% of the University of Exeter’s postgraduate research has been rated to be of international quality. Out of its 25,000 students, 5,500 of these are postgraduates, studying across Exeter’s three main campuses located across...more