Brunel University London

Course Introduction

The programme aims to develop a critical awareness of the state'of'the'art in data science and demonstrate the practical skills necessary to create value in its application to business, scientific and/or social domains.

Course Modules

Modules include: digital innovation; quantitative data analysis; high performance computational infrastructures; systems project management; big data analytics; research methods; data visualisation; learning development project; dissertation.

Course Additional Entry

A UK 1st or 2nd Class Honours degree or equivalent internationally recognised and usually come from a scientific/engineering background and/or a numerate subject area; applicants with other qualifications with industrial experience (that is relevant to the subject area) may be considered and will assessed on an individual basis and industrial certifications may be taken into account (such as those provided by organisations such as Microsoft and Sun for example); such applicants may be required to attend an interview; applicants whose 1st language is not English require: IELTS: 6.5 (min 6 in all areas); Pearson: 58 (51 in all subscores); BrunELT: 65% (min 60% in all areas).

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £17,200  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £9,400  Academic year. First year home fees
1 year
Full Time
MSc (Postgraduate)
2 years
Part Time
MSc (Postgraduate) £8,600  Academic year. First year overseas fees
2 years
Part Time
MSc (Postgraduate) £4,700  Academic year. First year home fees