Designed to develop knowledge and research skills in Data Science, an understanding of the ecology within which a Data Scientist operates and professional skills in Data Science techniques, the programme also fosters reflective and analytic approaches in work-based practice and research.
Graduates are expected to be able to analyse and critically evaluate projects and research outputs in Data Science, and to have a critical understanding of the data value chain in professional settings.
Enrollment Cycles
March 2023
April 2023
May 2023
June 2023
July 2023
August 2023
September 2023
October 2023
November 2023
December 2023
January 2024
March 2024
An accredited UK Honours degree with minimum 2.2 classification or international equivalent. Some professional qualifications may also be acceptable. Extensive professional experience may also be considered.
Official transcripts from all universities, colleges and other post-secondary educational institutions attended.
English Proficiency: Students satisfy the English proficiency requirements provided they present a GCSE score with a minimum grade of “C” or IELTS (Academic) with an overall score of at least 6.0 (and no individual component lower than 5.5) or equivalent qualification. Students who do not acquire the above-mentioned qualifications are required to take the online Academic English Placement Test. This is an IELTS-type test (Reading & Writing) where students need to score an overall 6.0 (with no individual component lower than 5.5).
Personal Statement (minimum 500 words) explaining how the programme of study will benefit the student’s career progression.
Up to date CV
Two references (academic or professional) listed on CV stating referee’s full name, contact details, and relationship to the applicant.
Applications from non-standard applicants are welcome and will be considered individually.
Entry requirements may vary depending on the programme of study.