Royal Holloway, University of London

Course Introduction

The importance of Big Data grows year on year, with sectors including healthcare, manufacture, retail, administration and more reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics at Royal Holloway, University of London and you’ll develop the practical skills needed to handle and analyse data in a wide variety of fields, preparing you for a rewarding career in Big Data.

You’ll study in a department with a strong reputation for research excellence. The Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and you’ll have the opportunity to contribute to this leading research culture with your own Individual Project.

This flexible programme gives you the chance to tailor your learning to your own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing scope and variety. You’ll be well'equipped to continue your studies at PhD level, which will place you in a strong position to pursue more advanced, research'based roles after graduation.

Follow your passion for Data Science and Analytics at Royal Holloway and you’ll graduate with a desirable Masters degree from a highly regarded department, as well as transferable skillset that’s both in short supply and in high demand by employers. Our location near the M4 corridor – also known as ‘England’s Silicon Valley’ – means students can benefit from networking and placement opportunities with some of the country’s top technology institutions.

+ Study in a highly'regarded department, ranked 11th in the UK for research publications (Research Excellence Framework 2014).

+ Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’.

+ Graduate with a Masters degree leading to excellent graduate employability prospects.

+ Tailor your learning with a wide range of engaging optional modules.

+ Choose from a one'year programme structure or add an optional year in industry.

Course Modules

Mandatory modules: Data Analysis; Computation with Data; Programming for Data Analysis; Database Systems; Large'scale Data Storage and Processing; Individual Project. A range of optional modules are also available.

Start Date:

17/09/2018

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £10,400 Home Fees
1 year
Full Time
MSc £19,000 Overseas Fees
2 years
Part Time
MSc £10,400 Home Fees
2 years
Part Time
MSc £19,000 Overseas Fees

Qualifications required:

  • UK 2:1 (Honours) or equivalent in Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing.
  • Relevant professional qualifications and relevant experience in an associated area will be considered.
  • English language requirements: IELTS 6.5 overall with a minimum of 5.5 in all other subscores.