Taught course

Data Analytics

Institution
University of Brighton · School of Computing, Engineering and Mathematics
Qualifications
MScPGCertPGDip

Entry requirements

Degree and/or experience: Honours degree at 2:1 or above, or equivalent work experience. Applicants are expected to be familiar with and have some aptitude for basic mathematics and statistics concepts and methods. Claims for the accreditation of prior (experiential) learning will also be considered. For non-native speakers of English: IELTS 6.5 overall, with 6.0 in writing and a minimum of 5.5 in the other elements.

Months of entry

September

Course content

As data capture becomes more widespread and the need for data analysis skills ever more vital, a shortfall in qualified professionals able to effectively structure, make sense of, and draw useful conclusions from complex sets of data has emerged.

This innovative masters course has been specifically designed in close consultation with industry partners (including Teradata, Innovation Partners, BT, SAS and the Pensions Regulator) to produce graduates with the unique combination of skills needed to address this industry need.

As a University of Brighton student, you will graduate with a particularly broad – and much in demand – skill set. Your data analysis skills will develop in tandem with your experience of managing data analysis projects end-to-end, proposing sound business cases and strategies for analysis, performing and overseeing analyses, as well as critically appraising and presenting results to others.

Qualification and course duration

MSc

part time
72 months
full time
12 months

PGCert

part time
72 months
full time
12 months

PGDip

part time
72 months
full time
12 months

Course contact details

Name
School of Computing, Engineering and Mathematics
Email
cemadmissions@brighton.ac.uk