MSc Data Science / Overview
Year of entry: 2018
- Degree awarded
- Master of Science
- 12 months full-time
- Entry requirements
Generally a minimum 2:1 honours degree (or overseas equivalent) in a relevant discipline is required. However the MSc in Data Science course is a specialised, and research focused course and not all undergraduate degrees will provide the appropriate background. Successful applicants will usually have at least an A-level or equivalent in mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience. Potential applicants are advised that transcripts will be checked to ensure appropriate material has been covered.
- Number of places/applicants
THIS COURSE IS NOW FULL AND NO NEW APPLICATIONS WILL BE ACCEPTED FOR SEPTEMBER 2018
- How to apply
Supporting documents required are:
- Degree transcripts and certificates
- Two academic references
- English language evidence (if from a non-native English speaking country)
The supporting documents can be uploaded during the on-line application process or emailed directly to email@example.com
- There is NO application fee.
- International (non UK/EU) apply by 27 November 2017.
- UK/EU can apply up until 1 September.
- Writing sample NOT required.
- Personal statement NOT required.
(Please note that due to the popularity of this course, admissions may be closed earlier than stated).
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- You are excited by data, and what data science can do.
- You want to open the door to a host of relevant and current employment opportunities.
- You are keen to develop your team-working skills, and to actively study as part of a dynamic group.
- You want the inspiration that an interdisciplinary course, drawing on five different disciplines, can provide.
Course Director: Dr Mark Elliot, email; firstname.lastname@example.org
For entry in the academic year beginning September 2018, the tuition fees are as follows:
UK/EU students (per annum): £9,500
International students (per annum): £18,000
Courses in related subject areas
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