Modes and duration
- Full-time: 1 year
Programme start date
Tuition Fees (2016/17)
- £11,090 (FT) £N/A (PT)
- £23,020 (FT) £N/A (PT)
A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject, or an overseas qualification of an equivalent standard. Students should also have some experience with a programming language such as Java or python.
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
Students will gain a detailed knowledge and understanding of the fundamental principles and technological components of the World Wide Web, learning not only the latest web search and information retrieval technologies and their underlying computational and statistical methods, but also studying essential large-scale data analytics to extract insights and patterns from vast amounts of unstructured data.
Students undertake modules to the value of 180 credits.
The programme consists of two core modules (30 credits), four option modules (60 credits), and the research dissertation (90 credits).
- Investigating Research
- Researcher Professional Development
- Complex Networks and Web
- Web Economics
- Information Retrieval and Data Mining
- Distributed Systems and Security
- Multimedia Systems
- Complex Networks and Web
Or an elective module from other Computer Science programmes
All students undertake an independent research project which culminates in a substantial dissertation.
Teaching and Learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. For the research project, each student is liaised with their academic or industrial supervisor to choose a study area of mutual interest. Student performance is assessed by unseen written examinations, coursework and the research dissertation.
Scholarships relevant to this department are displayed below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- £15,000 (1 year)
- UK students
- Based on both academic merit and financial need
- £4,000 (1)
- UK, EU students
More scholarships are listed on the Scholarships and Funding website
Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.
The skill set obtained from our MRes makes our students the ideal choice for the best employers in internet-related industries and sectors requiring big data analytics. The MRes has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, their research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address specific technical problems faced by the industry.
Why study this degree at UCL?
UCL Computer Science is recognised as a world leader in teaching and research, and was one of the top-rated departments in the country according to the UK government's recent Research Excellence Framework.
Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.
We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.
Student / staff ratios › 200 staff including 120 postdocs › 650 taught students › 175 research students
Department: Computer Science
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
Who can apply?
The MRes programme is highly flexible and specific, and is tailored to suit students' individual needs. It is intended for students who have a background in internet-based businesses and who have a specific technical question in mind for a substantial research project.
- All applicants
- 30 June 2016
For more information see our Applications page.Apply now
What are we looking for?When we assess your application we would like to learn:
- why you want to study Web Science and Big Data Analytics at graduate level
- why you want to study Web Science and Big Data Analytics at UCL
- what particularly attracts you to this programme
- how your academic and professional background meets the demands of this programme
- what programming experience you have
- where you would like to go professionally with your degree