You will develop the business understanding and analytical, statistical and computing skills required to contribute to this vital field. Linking learning and development to your work activities, you can ensure that your professional development is part of the strategic plan of your organisation to promote innovation and change.
Learning, teaching and assessment methods focus on providing students with engaging and contemporary materials that link theory to practice and require students to take a critical perspective on both.
By linking learning and development directly to work activities, students can ensure that their professional development is part of the strategic aims of the organisation.
Students will also have the opportunity to consider and reflect on established views of the organisation and processes relating to data science, in order to promote innovation and change.
Your final dissertation project will allow you to use the tools and approaches you’ve developed on the course.
You can pay for this course flexibly on a module-by-module basis. This means that you don't have to pay the full course cost upfront.
What you study
- Data Analytics
- Data Driven Decision Making
- Data Wrangling
- Advanced Professional Practice (60 credits)
- Dissertation (60 credits)
For the award of MSc Data Science you must successfully pass all five modules, giving a total of 180 credits. All modules are 20 credits, except where indicated.
To allow you to settle in to the programme and to have some underpinning to base the Advanced Professional Practice module on, you will initially study one module (the 20 credit module available in the trimester you start). After this first module, the programme leader will then discuss and agree with you the next module(s) to select. Depending on this discussion, the minimum duration may be longer than 24 months.
If there is any question regarding the authorship of any submitted assessments, we reserve the right to require students to undertake an online viva.