This recently revised programme is designed for computationally and mathematically literate graduates wishing to pursue an in-depth study of modern approaches to information science. Emphasis is placed both on current industry practice and theory, and on data science methods and likely future trends in artificial intelligence, thus equipping graduates with the knowledge and skills necessary for a wide range of career paths in information-related fields.
Covid-19 programme updates
Due to COVID-19, there may have been updates to this programme for the 2020 academic year. Where there has been an update, these are indicated with a red alert and a link which will provide further information.
Modes and duration
Tuition fees (2020/21)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website. Fees for flexible, modular study are charged pro-rata to the appropriate full-time Master's fee taken in an academic session.
Normal requirements for admission are a minimum of an upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. Applicants with appropriate professional qualifications or experience in relevant disciplines will also be considered. We welcome applications from those with science, engineering or humanities backgrounds. However, applicants are expected to demonstrate some technical and/or mathematical aptitude.
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:
About this degree
Students will learn a variety of topics related to information science theory and practice with emphasis on computational methods, data science and artificial intelligence. The programme is a roughly even mix of optional and core modules, followed by a term-three dissertation designed to train students in the research skills necessary for careers in academia and the higher echelons of industry.
Students undertake modules to the value of 180 credits.
The programme consists of five core modules (75 credits), three optional modules (45 credits) and a research dissertation (60 credits).
A Postgraduate Diploma, consisting of five core modules (75 credits), three optional modules (45 credits), full-time nine months or flexible study over 2-5 years, is offered.
A Postgraduate Certificate - any four of the modules available (60 credits), full-time 15 weeks or flexible study over a period of up to two years.
Upon successful completion of 180 credits, you will be awarded a MSc in Information Science. Upon successful completion of 120 credits, you will be awarded a PG Dip in Information Science. Upon successful completion of 60 credits, you will be awarded a PG Cert in Information Science.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
- Fundamentals of Information Science
- Introduction to Programming and Scripting
- Logic and Knowledge Representation
- Database Systems Analysis and Design
- Systems Management
Optional modules (indicative list):
- Digital Curation
- Digital Resources in the Humanities
- Electronic Publishing
- Foundations of Machine Learning and Data Science
- Graph Databases and Semantic Technologies
- Individual Approved Study
- Information Governance
- Internet Technologies
- Introduction to Digitisation
- Legal and Social Aspects of Electronic Publishing
- Managing Information Organisations
- Organising Knowledge
- Server Programming and Structured Data
The list above only indicates commonly chosen options. In principle, students may apply to take any module offered within the department, or in other departments, subject to availability and with the tutors' permission.
All MSc students undertake an independent research project on a specific aspect of information technology and its application, which culminates in a dissertation of up to 12,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, seminars and tutorials, individual supervision, computer laboratory practicals and classroom practicals, with an emphasis on both theoretical principles and practical skills. Assessment is through a mixture of essays, reports, examination, and practical work in terms 1 and 2 and a dissertation in term 3.
In the taught (pre-dissertation) phase of the programme students spend roughly 20-25% of their time in the classroom/lab with the remainder of their time taken up with groupwork and independent study. For the dissertation, the mode of delivery is independent study punctuated by regular one-to-one meetings with their supervisor.
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
The MSc in Information Science prepares students for technical and management roles in the information and information technology industries, as well as for research careers in academia. Recent graduates have subsequently followed careers in a wide variety of roles in the information sector, including information systems management, web management, information architecture, knowledge-based systems, information security and governance, e-commerce, finance/fintech, data analytics and data science. Others have gone on to undertake PhDs in topics and subject areas encountered on the programme.
This programme equips students with the technical, theoretical and research skills to adapt to a rapidly changing information-based society, and also challenges students to think deeply about the implications of modern information technologies on individuals, society and industry. Specific skills acquired include data analysis, knowledge engineering, data modelling, knowledge representation, database design, management and implementation, ontology and linked data design, and web-based programming.
Why study this degree at UCL?
Students benefit from a very broad range of expertise among the academic staff of the department, which also offers postgraduate study and undertakes research in library studies, digital humanities, archives and record management, and publishing. Students are thus exposed not only to the technical aspects of information science but also to related broad societal and ethical issues, for example surrounding information governance and the wider information society, and are equipped with complementary critical skills, which assist them when applying the tools of information science in real-world practice.
Additionally, students benefit from UCL's central London location, which provides diverse opportunities for information-related research and collaboration with various London institutions.
Department: Information Studies
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.
There is an application processing fee for this programme of £80 for online applications and £105 for paper applications. Further information can be found at: www.ucl.ac.uk/prospective-students/graduate/taught/application.
Who can apply?
The programme is particularly suitable for computationally and mathematically literate graduates wishing to pursue an in-depth study of modern approaches to information science. Typically, graduates will have the ambition to either enter information and data science related professions, or to continue into academic research in these areas.
- All applicants
- 11 August 2020
Applications for the MSc, PG Diploma, and PG Certificate programmes must be submitted by 1 July in the year of entry, although late applications may be considered up to UCL's general application deadline, usually towards the end of July. Selected candidates will be invited to an informal interview.
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 Information Science at graduate level
- why you want to study Information Science at UCL
- what particularly attracts you to this programme
- how your academic and professional background meets the demands of this programme
- where you would like to go professionally and/or academically with your degree
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