Data Science and Analytics

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.

Core modules

• Data Analysis
• Computation with
• Programming for Data Analysis
• Database Systems
• Large-scale Data Storage and Processing
• Individual Project

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff.

Requirements

• Bachelor's Degree (Bakalavr). Students who have successfully completed a four year Bachelor's degree (Baklavar) in an appropriate subject with good grades/GPA and at a reputable university will be considered for entry to a Royal Holloway Master's degree programme. Exact requirements will depend upon the programme, but most departments will ask for a minimum final grade of either 3.5/5.0 (70%) or 4.0/5.0 (80%).
• Specialist Diploma. Students who have successfully completed a Specialist Diploma in an appropriate subject with good grades/GPA and at a reputable university will be considered for entry to a Royal Holloway Master's degree programme. Exact requirements will depend upon the programme, but most departments will ask for a minimum final grade of either 3.5/5.0 (70%) or 4.0/5.0 (80%). 
• IELTS 6.5 overall with 6.0 in writing and no subscore below 5.5
• You are required to register your one reference, even if you have uploaded a copy of their reference. You may be contacted to submit a 2nd reference if we need further information to assess your suitability for the programme you have applied for.
• Copies of the transcripts from your undergraduate degree (this can be a transcript of your progress so far if you have not yet completed it)
• Copies of any other qualifications you have taken that are relevant to your chosen course
• A supporting statement, explaining your motivation to study your chosen course
• One academic reference - you can either upload a copy (this is the quickest option) or your referee can enter them directly into the online system once you've completed the application

Scholarships

• International Excellence Scholarships
• Global Education