Brunel University London

Course Introduction

The Data Science and Analytics MSc programme provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. You will develop both your critical awareness of the very latest developments in data science and the practical skills that help you apply data science more effectively in a wide variety of sectors including finance, retail and government. You?ll gain knowledge of key concepts and the nuances of effective data analysis. You?ll gain confidence in your own critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents, and turning that understanding into insight for business, scientific or social innovation. You?ll develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.

The Data Science and Analytics MSc programme provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. You will develop both your critical awareness of the very latest developments in data science and the practical skills that help you apply data science more effectively in a wide variety of sectors including finance, retail and government. You?ll gain knowledge of key concepts and the nuances of effective data analysis. You?ll gain confidence in your own critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents, and turning that understanding into insight for business, scientific or social innovation. You?ll develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.

The roles that our graduates are typically recruited to within these organisations include analytics consultant, big data engineer/scientist, business analyst, clinical data scientist, data design specialist, data scientists, developer/development engineer, enterprise/technical architect, forecast analyst, marketing/customer and/or insight analyst, quantitative analyst and web analyst. Your MSc in Data Science and Analytics from Brunel will equip you to work in leading data science organisations.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £10,140 Home Fees
1 year
Full Time
MSc £10,140 European Fees
1 year
Full Time
MSc £18,720 Overseas Fees
2 years
Part Time
MSc £5,070 Home Fees
2 years
Part Time
MSc £5,070 European Fees
2 years
Part Time
MSc £9,360 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Applicants need to have 2:2 or above UK Honours degree, or equivalent internationally recognised qualification, usually from a scientific/engineering background and/or a numerate subject area; Applicants with other qualifications and industrial experience (relevant to the subject area) may be considered, and will assessed on an individual basis. Industrial certifications may be taken into account (those provided by organisations such as Microsoft and Sun). Such applicants may be required to attend an interview.
  • International entry requirements: Applicants need to have an IELTS: 6.5 (min 6 in all areas); Pearson: 58 (51 in all subscores); BrunELT: 65% (min 60% in all areas).
  • IELTS score: 6.5