About the course

All organisations face the challenge of how to analyse and use data. On this course, you'll learn data science concepts and how to support data-driven approaches to problem-solving within complex organisational and societal contexts.

　　Gain an in-depth understanding of the theory and practice of data science and its application in different organisational contexts. You'll be provided with a set of fundamental principles that support ethical extraction of information and knowledge from data. Case studies will help to show the practical application of these principles to real life problems.

　　The programme is centred on three key aspects of data science fundamental data-related principles, supporting infrastructures and organisational context.

　　You'll gain practical skills in handling structured and unstructured data, analysing and visualising data, data mining, as well as gaining hands-on experience of software tools used and their use in real-world settings. You'll gain the skills of a data manager who understands what the algorithms (e.g., for data mining or handling ‘big data’) can do and when to use them for the benefit of the organisation. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 1 Year(s)Fees: GB£27,500

Intake	Location
Autumn (September), 2024	Sheffield
Autumn (September), 2025	Sheffield

　　

How to apply

Entry requirements for University of Sheffield

The MSc Data Science programme is aimed at graduate students with a good honours degree, who have enquiring minds, a practical and analytical approach to problem solving and an ambition for a career in this area. Work experience is not essential and you do not need prior knowledge of statistics or data analysis.

　　You are normally expected to have a minimum 2:1 undergraduate honours degree, or its equivalent, in any subject discipline.

　　Work experience is not essential and you do not need prior knowledge of statistics or data analysis. However, the course is analytical and does require that you are prepared to learn and engage with more analytical and technical topics, such as data analysis, database design, data mining and data visualisation. The course does not involve programming but you will be expected to be able to make use of analytical and data-centric tools, such as R, SPSS and Oracle.

　　IELTS:

　　Overall Score 6.5

　　Listening 6.0

　　Reading 6.0

　　Speaking 6.0

　　Writing 6.0

　　Test of English as a Foreign Language (TOEFL) internet-based test (IBT) - Overall score of 88 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking.

　　

English language requirements

　　6.5

　　Overall IELTS band score

　　Book IELTS

　　About IELTS

　　Practice and prepare

　　TOEFL Internet based overall score: 88.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at University of Sheffield. If you want to find out more, please speak to our counsellors.

　　Pathway options to study at this institution

　　

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World ranking

　　105th / 1250

　　THE World ranking20th / 130

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