Faculty of Social Sciences
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 and, although you're not required to have any knowledge of these tools before starting the course, it may be advantageous to read up on them in advance. You'll conduct in-depth research into your particular areas of interest for your dissertation.
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.
A variety of teaching methods are used combining lectures from academic staff and professional practitioners with seminars, tutorials, small-group work, and computer laboratory sessions. There is a strong emphasis on new ways of exploiting data to support decision-making for a range of domains and problems in an organisational context. In addition to the taught components, you will be expected to engage in independent study, reading and research in support of your coursework.
Teaching consists of two 15-week semesters, after which you'll write your dissertation.
Assessments are designed to test your grasp of the theoretical principles, technologies and frameworks used to collect, store, analyse and exploit data; they may include essays, report writing, oral presentations, in-class tests and group projects.
There is a dissertation of 10-15,000 words, which provides you with the opportunity to focus in depth on a topic of your choice with one-to-one supervision. Opportunities exist for both project and dissertation studies to be carried out with our collaborating organisations, which can provide the opportunity to tackle real-life problems.
- 1 year full-time
- 2 years part-time
- 3 years part-time
You’ll need at least a 2:1 in any subject.
Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.
If you have any questions about entry requirements, please contact the department.
Fees and funding
+44 114 222 2646
Any supervisors and research areas listed are indicative and may change before the start of the course.
Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.