Science courses

About Msc Data Science in University of Sheffield

Course description

This course is accredited by CILIP

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.

Throughout the programme, there will be opportunities to gain hands-on experience using a variety of tools, such as R, Python and SPSS, Weka or Tableau/Spotfire. You'll conduct in-depth research into your particular areas of interest for your dissertation.

Entry requirements

You’ll need at least a 2:1 in any subject.

English language requirements

Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.

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