Web Science and Big Data Analytics MRes


The MRes 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

Tuition fees

  • UK/EU Full-time: £7,500
  • Overseas Full-time: £20,900

Application date

  • All applicants: 31 July 2014

More details in Application section.


What will I learn?

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.

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.


Students undertake courses 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).

Core Modules

  • Investigating Research
  • Professional Development in Practice

Options

  • Complex Networks and Web
  • Web Economics
  • Information Retrieval and Data Mining
  • Distributed Systems and Security
  • Multimedia Systems

  • Or an elective module from other Computer Science programmes

Dissertation/report

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.

Further details available on subject website:


Scholarships available for this department

Brown Family Bursary

This award is based on financial need.

Childcare Support Grant

Selection based solely on financial need.

Graduate Support Bursary

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.


Entry requirements

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.

International equivalencies

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 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 the Internet-based businesses and who have a specific technical question in mind for a substantial research project.

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
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


Career

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.

Employability

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.


Next steps

Contact

Mrs Tracy Williams

T: +44 (0)20 7679 7287

Department

Computer Science

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Make an application

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Prospectus subject

Computer Science

Faculty overview

Engineering Sciences


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