Web Science and Big Data Analytics MSc
The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and makes them well equipped to proceed to become the ideal choice for the best employers in internet-related industries and the areas requiring big data analytical skills.
Mode of study
- Full-time 1 year
- UK/EU Full-time: £10,450
- Overseas Full-time: £21,700
- All applicants: 31 July 2014
More details in Application section.
What will I learn?
Students will gain a detailed knowledge and understanding of web-related technologies and big data analytics, ranging from information search and retrieval, natural language processing, data mining and analytics, and large-scale distributed and cloud computing to e-commerce and their business economic models and the latest concepts of social networks.
Why should I 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 assessment exercise.
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.
MSc students undertake courses to the value of 180 credits. The programme consists of five core modules (75 credits), three option modules (45 credits) and the research dissertation (60 credits).
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. Student performance is assessed by unseen written examinations, coursework and the dissertation.
Further details available on subject website:
Scholarships available for this department
This award is based on financial need.
Selection based solely on financial need.
For a prospective UK Master's student from under-represented background enrolling on a participating programme . Selection based solely on financial need.
Further information about funding and scholarships can be found on the Scholarships and funding website.
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.
Select your country for equivalent alternative requirements
English language proficiency level: Standard
How to apply
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.
The deadline for applications is 31 July 2014.
Who can apply?
The MSc programme is suitable for students with a general science and engineering background who wish to learn web-related technologies and data mining skills needed for the development of large-scale web eco systems and information seeking and quantitative data analysis tools.
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
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 MSc makes our students the ideal choice for the best employers in internet-related industries and sectors requiring big data analytics. The MSc 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, 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 the specific technical problems faced by the industry.
Mrs Tracy Williams
T: +44 (0)20 7679 7287
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