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Data Science with Business MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Business Information Technology Informatics

Course type


Course Summary

MSc Data Science with Business combines core Data Science modules, taken from MSc Data Science, with modules in Management, Strategy, Marketing and Accounting. This course is taught in partnership between the College of Engineering, Mathematics and Physical Sciences and the University of Exeter Business School. This blend of business and science is designed for students wanting management or leadership roles working with data. Teaching, taking place over 12 months, covers the fundamental mathematical and computational techniques used to deliver insights and understand phenomena extracted from data sources. Building upon your existing coding skills you will handle complex data sets, learning multiple methods of analysis and efficient approaches to visualisation and presentation. In addition, you will study optional modules on subjects such as governance and ethics, social networks, text analysis and computer vision. 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.

Different course options

Study mode

Full time


1 year

Start date



Data science depends on a solid grounding in mathematics and programming. In this module, you will learn the essential mathematical techniques from linear algebra and probability. You will also develop programming skills specific to data analysis, including how to apply the mathematical techniques you have learned as part of computational data analysis procedures. Other computational methods with direct relevance to data science and processing of large datasets will also be included, such as data analysis packages for Python and optimisation techniques for speeding up large computations. Overall, this module will ensure you have the core skills and background knowledge that underpin many central topics in data science, including machine learning, statistical modelling, network analysis and computer vision.

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

Students need 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 qualification

University information

The University of Exeter is a public 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 their 23,613 students, 4,681 of these are postgraduates. There are three main campuses to study at, with most...more