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Key information

Award:
PhD
Study mode:
Full time
Part time
Duration:
3-4 years full time and 6-8 years part-time

The Department of Informatics welcome postgraduate research students from around the world to join our world-leading community of researchers. Working under the guidance of internationally renowned supervisors, our PhD students explore fundamental scientific questions and key societal challenges and opportunities in an increasingly complex digital world.

The Department has an extensive research profile, with major externally funded projects, a strong publication profile and significant research activity.

Our research is organised around our research groups, and you can find details of the current range of research projects and interests on the Department's research pages.

 Partner organisations

We have strong links with industry, government and other academic institutions. Our research has been supported by several companies from the aerospace, automotive, financial, IT and telecommunications sectors.

For funding opportunities please explore these pages:

UK Tuition Fees 2024/25

Full time tuition fees: £6,936 per year

Part time tuition fees: £3,468 per year

International Tuition Fees 2024/25

Full time tuition fees: £30,240 per year

Part time tuition fees: £15,120 per year

UK Tuition Fees 2025/26

Full time tuition fees: £7,500 per year

Part time tuition fees: £3,750 per year

International Tuition Fees 2025/26

Full time tuition fees: £32,400 per year

Part time tuition fees: £16,200 per year

These tuition fees may be subject to additional increases in subsequent years of study, in line with King's terms and conditions.

We support a thriving community of PhD students from all over the world, who play a vital part in advancing innovation and cutting-edge discovery across our research. The Department also leads the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, which is training the next generation of researchers in model-based AI approaches and their use in ensuring the safety and trustworthiness of AI systems.

Our renowned research profile attracts funding grants and projects from major national and international funders as well as business and industrial partners and public sector bodies. We have also created a thriving ecosystem of research partnerships and collaborations with industry, the public sector and the arts and cultural institutes.

The Department is housed in Bush House in the heart of London, featuring state-of-the-art teaching and office spaces as well as computer lab workstations.

Our PhD students have access to excellent library facilities and designated PhD offices within the Department. Regular group seminars are organised providing PhD students a chance to showcase their research and receive feedback from academic staff and peers. Work from the department is regularly showcased at the Science Gallery London.

Our facilities are within easy reach of the British Computer Society and the Institute of Engineering & Technology (and the IET Library), with access to a formidable collection of scientific journals and other technical material.

Our staff and students come from all over the world, providing a rich environment for teaching and research, and we are committed to advancing equality, diversity and inclusion across everything we do. The Department has a friendly and inclusive culture, with regular social events bringing staff and students together.

Postgraduate training

Department and College induction events are scheduled at the beginning of your degree to prepare you for life as a PhD student. All students are required to complete 10 days of training each year.

There is a centrally provided programme of training coordinated by the Kings Doctoral College and the NMES Graduate school offers a range of unique training for our students with a focus to support PhD research and the PhD journey. The NMES Graduate School also organises a variety of social and research events for students from hosting the NMES PGR Welcome event, Science walking tours, Winter and Summer social parties, movie and board game nights, to Presentation and Writing coffee mornings, a space for students to present their research work to peers and receive feedback. One of the highlights in the NMES PGR calendar is the Research Competition, where 3rd year students across all five departments present their research in a 3-minute video culminating in an in-person event where all finalist videos are viewed, and the winners receive their prize.

Research students are encouraged to submit papers to conferences and supported with travel to present papers and posters.

Our research students are also encouraged to teach alongside their studies to help prepare them for a potential future career in academia.

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Algorithms and Data Analysis
Algorithms and Data Analysis

The group develops algorithmic solutions and concrete implementations for various applications.

Cybersecurity
Cybersecurity

The group studies design, modelling, analysis, verification and testing of networks and systems.

Distributed Artificial Intelligence
Distributed Artificial Intelligence

Understanding AI in social and economic contexts where an intelligent entity may be interacting with other entities

Human Centred Computing Research
Human Centred Computing Research

The group is concerned with the design, development and evaluation of human computer systems.

Reasoning and Planning
Reasoning and Planning

The group focuses on the fundamental AI challenge of creating, representing and reasoning.

Software Systems
Software Systems

The group studies design, modelling and engineering of software systems.

For funding opportunities please explore these pages:

UK Tuition Fees 2024/25

Full time tuition fees: £6,936 per year

Part time tuition fees: £3,468 per year

International Tuition Fees 2024/25

Full time tuition fees: £30,240 per year

Part time tuition fees: £15,120 per year

UK Tuition Fees 2025/26

Full time tuition fees: £7,500 per year

Part time tuition fees: £3,750 per year

International Tuition Fees 2025/26

Full time tuition fees: £32,400 per year

Part time tuition fees: £16,200 per year

These tuition fees may be subject to additional increases in subsequent years of study, in line with King's terms and conditions.

We support a thriving community of PhD students from all over the world, who play a vital part in advancing innovation and cutting-edge discovery across our research. The Department also leads the UKRI Centre for Doctoral Training in Safe and Trusted Artificial Intelligence, which is training the next generation of researchers in model-based AI approaches and their use in ensuring the safety and trustworthiness of AI systems.

Our renowned research profile attracts funding grants and projects from major national and international funders as well as business and industrial partners and public sector bodies. We have also created a thriving ecosystem of research partnerships and collaborations with industry, the public sector and the arts and cultural institutes.

The Department is housed in Bush House in the heart of London, featuring state-of-the-art teaching and office spaces as well as computer lab workstations.

Our PhD students have access to excellent library facilities and designated PhD offices within the Department. Regular group seminars are organised providing PhD students a chance to showcase their research and receive feedback from academic staff and peers. Work from the department is regularly showcased at the Science Gallery London.

Our facilities are within easy reach of the British Computer Society and the Institute of Engineering & Technology (and the IET Library), with access to a formidable collection of scientific journals and other technical material.

Our staff and students come from all over the world, providing a rich environment for teaching and research, and we are committed to advancing equality, diversity and inclusion across everything we do. The Department has a friendly and inclusive culture, with regular social events bringing staff and students together.

Postgraduate training

Department and College induction events are scheduled at the beginning of your degree to prepare you for life as a PhD student. All students are required to complete 10 days of training each year.

There is a centrally provided programme of training coordinated by the Kings Doctoral College and the NMES Graduate school offers a range of unique training for our students with a focus to support PhD research and the PhD journey. The NMES Graduate School also organises a variety of social and research events for students from hosting the NMES PGR Welcome event, Science walking tours, Winter and Summer social parties, movie and board game nights, to Presentation and Writing coffee mornings, a space for students to present their research work to peers and receive feedback. One of the highlights in the NMES PGR calendar is the Research Competition, where 3rd year students across all five departments present their research in a 3-minute video culminating in an in-person event where all finalist videos are viewed, and the winners receive their prize.

Research students are encouraged to submit papers to conferences and supported with travel to present papers and posters.

Our research students are also encouraged to teach alongside their studies to help prepare them for a potential future career in academia.

Loading...
Algorithms and Data Analysis
Algorithms and Data Analysis

The group develops algorithmic solutions and concrete implementations for various applications.

Cybersecurity
Cybersecurity

The group studies design, modelling, analysis, verification and testing of networks and systems.

Distributed Artificial Intelligence
Distributed Artificial Intelligence

Understanding AI in social and economic contexts where an intelligent entity may be interacting with other entities

Human Centred Computing Research
Human Centred Computing Research

The group is concerned with the design, development and evaluation of human computer systems.

Reasoning and Planning
Reasoning and Planning

The group focuses on the fundamental AI challenge of creating, representing and reasoning.

Software Systems
Software Systems

The group studies design, modelling and engineering of software systems.

Key information

Award:
PhD
Study mode:
Full time
Part time
Duration:
3-4 years full time and 6-8 years part-time