The importance of Big Data grows year on year, with sectors including healthcare, manufacturing, retail, administration and others reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics with a Year in Industry 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 Royal Holloway 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 academic 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 upon 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 develop their skills and experience with a year in industry at some of the country's leading technology institutions.
- Study in a highly-regarded department, ranked 11th in the UK for research publications (Research Excellence Framework 2014).
- Gain invaluable knowledge, experience and contacts with a year in industry.
- Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’.
- Graduate with a Masters degree with excellent graduate employability prospects.
- Tailor your learning with a wide range of engaging optional modules.
Programming for Data Analysis
Large-scale Data Storage and Processing
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. Applicants will be informed if any significant changes need to be made.
Methods of Computational Finance
Advanced Data Communications
Fundamentals of Digital Sound and Music
Intelligent Agents and Multi-Agent Systems
Internet and Web Technologies
Online Machine Learning
Service-Oriented Computing, Technology and Management
Business Intelligence Systems, Infrastructures and Technologies
Methods of Bioinformatics
Visualisation and Exploratory Analysis
Investment and Portfolio Management
Fixed Income Securities and Derivatives
Decision Theory and Behaviour
Origins of the Financial Crisis
Topics in Applied Statistics
Introduction to Cryptography
Smart Cards, RFIDs and Embedded Systems Security
Assessment is carried out by a variety of methods including coursework, examinations and a dissertation. The placement is assessed as part of your degree.
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 no subscore below 5.5
International and EU entry requirements
Please select your country from the drop-down list below
Students from overseas should visit the International pages for information on the entry requirements from their country and further information on English language requirements. Royal Holloway offers a Pre-Master’s Diploma for International Students and English language pre-sessional courses, allowing students the opportunity to develop their study skills and English language before starting their postgraduate degree.
Students of Data Science and Analytics with a Year in Industry at Royal Holloway, University of London will graduate with excellent employability prospects in a range of fields.
You’ll develop a range of highly sought-after transferable skills, while our proximity to the M4 corridor technology hub – also known as ‘England’s Silicon Valley’ – gives you the chance to enjoy a year in industry that will pave the way for a rewarding future career. Our recent graduates have gone on to enjoy roles at prestigious organisations including British Aerospace, Microsoft, Amazon and American Express.
- 90% of Royal Holloway graduates in work or further education within six months of graduating.
- Strong industry ties help to provide placement and networking opportunities with some of the country’s leading institutions.
- On-site College Careers Service provides help and support for students.
Home and EU students tuition fee per year 2017/18*: £8,300
Overseas students tuition fee per year 2017/18*: £18,500
The fee for the year in industry will be 20% of the first year fee for that academic year
Other essential costs**: There are no single associated costs greater than £50 per item on this course
Find out more about funding options, including loans, grants, scholarships and bursaries.
*The tuition fees given above apply to students enrolled on a full-time basis. Students studying part-time are charged a pro-rata tuition fee and information is available from the Royal Holloway Student Fees Office on Student-Fees@rhul.ac.uk. All fees are likely to rise annually in line with inflation but no more than 5 per cent per year.
For further information, please see Royal Holloway’s Terms & Conditions.
** These estimated costs relate to studying this particular degree programme at Royal Holloway. Costs, such as accommodation, food, books and other learning materials and printing etc., have not been included.