Data Science and Analytics (London)
Entry requirements
Please find informatoin on entry requirements by clicking on course details
Months of entry
January, May, September
Course content
Develop technical and critical thinking skills by applying data science knowledge to real-world problems. And explore the fundamentals of big data, data visualisation and applied machine associate software tools.
You explore the professional, ethical, security and social implications of future data science technologies. And you develop the transferable skills you need to progress into industry.
- Industry links: work on live industry briefs, competitions and hackathons. Previous companies have included Cisco, Cubic Transportation Systems, Sage, TUI, Atombank, HMRC and Waterstons.
- Career-ready: our ExpoSeries allows you to showcase your skills to industry professionals who are looking to recruit new and rising talent.
Please note that this course is NOT suitable for students who have previously studied artificial intelligence, computer science, data science or a related subject. It is a conversion course for students who are considering a change of career or subject discipline.
Information for international students
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Fees and funding
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Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Postgraduate admissions
- TULadmissions@tees.ac.uk
- Phone
- 01642 738801