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Knowledge, Information and Data Science MSc

London, Bloomsbury

Attain the expertise you’ll need for a career in information technology, artificial intelligence or another related sector by embarking on this innovative degree. Through the Knowledge, Information and Data Science MSc, you’ll learn modern approaches to these fields, informed by current industry practice, theory and trends. Taught at UCL, you’ll have access to renowned academics and learn critical skills through real-world practice.

UK students International students
Study mode
UK tuition fees (2026/27)
£16,800
£8,400
Programme also available on a modular (flexible) basis.
Overseas tuition fees (2026/27)
£35,400
£17,700
Programme also available on a modular (flexible) basis.
Duration
1 calendar year
2 calendar years
5 calendar years
Programme starts
September 2026
Applications accepted
Applicants who require a visa: 20 Oct 2025 – 26 Jun 2026
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 20 Oct 2025 – 28 Aug 2026
Applications close at 5pm UK time

Applications open

Apply for this course

Entry requirements

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 a broad range of academic backgrounds. However, applicants are expected to demonstrate technical and/or mathematical aptitude and, in particular, should have experience of computer programming and knowledge of statistics, linear algebra and calculus.

The English language level for this course is: Level 3

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Equivalent qualifications

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. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

On this MSc course you will learn a variety of topics related to information science, data science and knowledge engineering with an emphasis on computational methods and artificial intelligence. Our course seeks to provide a broad postgraduate level introduction to a variety of topics from the broader disciplines of information science, data science and knowledge engineering. We place an emphasis on computational methods and approaches in artificial intelligence, to address contemporary problems in technology-based research and industry.

We take the view that knowledge of foundational and formal principles, and the ability to independently analyse, apply and adapt technologies to novel problem domains, are critical to today's academics and professionals. As such, we teach topics in logic & knowledge representation, computational statistics, machine learning, database design & management, information organisation & retrieval, information governance & societal impact, AI tools & text and language technologies. Throughout the course we develop computational and programming skills, alongside engagement with contemporary research.

Who this course is for

The course is particularly suitable for computationally and mathematically literate graduates wishing to pursue an in-depth study of modern approaches to knowledge, information and data science. Typically, graduates will have the ambition to enter information technology and artificial intelligence-related industries or to continue into academic research in these areas.

Read about what it takes to study for a Master's at UCL

What this course will give you

You will benefit from the stimulating academic environment of UCL Information Studies. This course is closely aligned with the Knowledge, Information & Data Science (KIDS) research group. Teaching staff are research active and supervise doctoral students in closely related topics.

As part of the department's postgraduate community, you will also benefit from a very broad range of expertise among our academic staff, who teach and undertake research in library studies, digital humanities, archives and record management, and publishing. You will be exposed to both the technical aspects of knowledge, information and data science and also to broad societal and ethical issues related to information governance and the wider information society, for example. You will therefore be equipped with a wide range of critical skills that will assist you when applying the methods and tools you have learned.

Additionally, you will benefit from UCL's global reputation as a centre of academic excellence and its central London location, which provides diverse opportunities for information-related research and collaboration with various London institutions. 

Read about what you'll get out of a graduate programme

The foundation of your career

We aim to prepare graduates for careers in a wide variety of roles in the information sector, such as information systems management, business analytics, information architecture, knowledge-based systems, information security and governance, e-commerce, finance/fintech, data analytics and data science.

UCL Information Studies graduates have gone on to work at a diverse range of employers including the British Library, the UK Government and a range of publishing organisations. Others have gone on to further study.*

*Graduate Outcomes Survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of UK and EU graduates in the 2017 - 2022 cohorts.

Employability

This course will equip you with the technical, theoretical and research skills to adapt to our rapidly changing information-based society, and also challenge you to think deeply about the implications of modern information and artificial intelligence technologies on individuals, society and industry. Specific skills acquired include data analysis, knowledge engineering, data modelling, knowledge representation, database design, management and implementation, and ontology and linked data design. The course will prepare you for technical and management roles in the information technology and artificial intelligence industries, as well as for research careers in academia.

Networking

UCL Information Studies offers a wide range of master's courses aimed at information professionals in areas ranging from publishing, librarianship, and archive and record management to data and information science. This provides and excellent opportunity to make contact and network with future leaders in these fields. You will be encouraged to attend our series of course-related research and professional seminars, which has previously included speakers from major organisations and companies such as the BBC, the  National Gallery and Neo4j, providing opportunities to make contact with key information industry players and learn about industry-oriented research. Our location also gives easy access to many other London institutions running information related seminars, meetings and networking events.

Teaching and learning

The course is delivered through a combination of lectures, seminars, practical computer lab sessions, workshops, presentations, class discussions and extracurricular activities made available centrally or departmentally. A range of assessment methods, both formative and summative, are adopted across the course.  

First and Second Terms are structured around scheduled contact time for each of the core and elective modules. The teaching methods adopted by each of the modules may vary to form a range of teaching and assessment methods and techniques such as in-class or online quizzes and tests, coursework and practical projects as well as presentations and vivas. Some modules may focus on individual work, while others may be facilitated through group work or peer support. Most of the modules in the First and Second Terms are worth 15 credits, which is equivalent to 150 hours of study, including contact time, private study and the undertaking of assignments.

Assessment is through a mixture of technical assignments and practical work, reports or essays in the First and Second Terms, and a dissertation in the Third Term.

In the First and Second Terms, full-time students can typically expect between 8 and 12 contact hours per teaching week through a mixture of lectures and practical sessions. In the Third Term and the summer period, students will be completing their own dissertation research, keeping regular contact with their dissertation supervisors. This equates to approximately 25-30 hours of self-directed study per week across all three terms.

A Postgraduate Diploma, consisting of five core modules (75 credits), three optional modules (45 credits), full-time 1 year 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.

Modules

Full time students undertake five compulsory modules, three optional modules, and a research dissertation. The compulsory modules provides an understanding of the key concepts of information science, data science and knowledge engineering, and their practical application to professional practice; common statistical ideas, techniques, models and tests for data analysis; the theory and practice of database systems including their design and management with standard tools such as SQL; information governance issues relating to the ethics and societal impact of information technologies; the main concepts of formal logic and logic programming, and their application to knowledge-based systems. 

Taught modules are undertaken in the First and Second terms. The Third Term is primarily for self-directed study and assessments. From some time in the Third Term until the end of the academic year, students undertake an independent research project, in consultation with a supervisor, culminating in a dissertation. 

Part-time students will usually undertake four taught modules in each year, and the dissertation in the Second and Final Year. They must take all five compulsory modules and three optional modules by the end of their studies. There is no fixed order in which the taught modules should be taken and we are happy to allow as much flexibility as possible.

Modular/flexible students can take the eight taught modules, compulsory and optional, in any order they wish (apart from modules with prerequisites) and must make sure they have completed all eight by the end of their studies. The dissertation should be submitted in the Final Year of study.

Compulsory modules








Optional modules








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 are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Knowledge, Information and Data Science. Upon successful completion of 120 credits, you will be awarded a PG Dip in Knowledge, Information and Data Science. Upon successful completion of 60 credits, you will be awarded a PG Cert in Knowledge, Information and Data Science.

Accessibility

The department will endeavour to make reasonable adjustments for students with disabilities, including those with long-term health conditions, neurodivergence, learning differences and mental health conditions. This list is not exhaustive. If you're unsure of your eligibility for reasonable adjustments at UCL, please contact Student Support and Wellbeing Services.

Reasonable adjustments are implemented on a case-by-case basis. With the student's consent, reasonable adjustments are considered by UCL Student Support and Wellbeing Services, and where required, in collaboration with the respective department.

Details of the accessibility of UCL buildings can be obtained from AccessAble. Further information about support available can be obtained from UCL Student Support and Wellbeing Services.

For more information about the department and accessibility arrangements for your course, please contact the department.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time Part-time
Tuition fees (2026/27) £16,800 £8,400
Tuition fees (2026/27) £35,400 £17,700

Programme also available on a modular (flexible) basis.

Postgraduate Taught students benefit from a cohort guarantee, meaning that their tuition fees will not increase during the course of the programme, but UCL reserves the right to increase tuition fees to reflect any sums (including levies, taxes, or similar financial charges) that UCL is required to pay any governmental authority in connection with tuition fees.

The tuition fees shown are for the year indicated above. Where the course is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.

Additional costs

For full-time and part-time offer holders with a fee status classification of UK, a fee deposit will be charged at 2.5% of the first year fee.

For full-time and part-time offer holders with a fee status classification of Overseas, a fee deposit will be charged at 10% of the first year fee.

For modular/flexible offer holders with a fee status classification of UK, a £350 deposit will be charged.

For modular/flexible offer holders with a fee status classification of Overseas, a £500 deposit will be charged.

There is no fee deposit required for PG Dip and PG Cert applicants.

Further information can be found in the Tuition fee deposits section on this page: Tuition fees.

The department strives to keep additional costs low. Books and journal articles are usually available via the UCL library as hard copies or via e-journal subscriptions. Whenever appropriate, module leaders will point students towards free online learning and research materials to further reduce students' expenditure. Students are expected to have access to a computational device of their own: ideally a laptop. Where possible, software tools and programming languages are chosen which can be installed and used without additional cost. 

For in-person teaching, UCL’s main teaching locations are in zones 1 (Bloomsbury) and zones 2/3 (UCL East). The cost of a monthly 18+ Oyster travel card for zones 1-2 is £119.90. This price was published by TfL in 2025. For more information on additional costs for prospective students and the cost of living in London, please view our estimated cost of essential expenditure at UCL's cost of living guide.

Funding your studies

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

See all the ways you can fund your studies

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 course of £90 for online applications. Further information can be found at Application fees.

When we assess your application we would like to learn:

  • why you want to study Knowledge, Information and Data Science at graduate level
  • why you want to study Knowledge, Information and Data Science at UCL
  • what particularly attracts you to this course
  • how your academic and professional background meets the demands of this course
  • where you would like to go professionally and/or academically with your degree

Please note that you may submit applications for a maximum of two graduate courses (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2026-2027

Apply for this course

Got questions? Get in touch

Information Studies
Information Studies

s.davenport@ucl.ac.uk

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