48 monthsProgramme duration
33,000 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Research at UCL Computer Science has made a deep, lasting and sustained impact on today's society.
UCL Computer Science has built a reputation as one of the major university centres for applied computer science research in Europe. Because we have some of the top UK research groups in many fields, you will be supervised by academics at the very forefront of computer science, in a wide range of areas.
Research areas:
Bioinformatics: protein structure; genome analysis; transmembrane protein modelling; de novo protein design methods; exploiting grid technology; mathematical modelling of biological processes
Financial computing: software engineering; computational statistics and machine learning; mathematical modelling
Human centred systems: usability of security and multimedia systems; making sense of information; human error and cognitive resilience
Information security: cryptology; digital watermarking; cryptoanalysis; steganography
Intelligent systems: knowledge representation and reasoning; machine learning
Media futures: digital rights management; information retrieval; computational social science; recommender systems
Networks: internet architecture; protocols; mobile networked systems; applications and evolution; high-speed networking
Programming Principles, Verification and Logic’: logic and the semantics of programs; automated tools for verification and program analysis; produce mathematically rigorous concepts and techniques that aid in the construction and analysis of computer systems; applied logic outreach in AI, security, biology, economics
Software systems engineering: requirements engineering; software architecture; middleware technologies; distributed systems; software tools and environments; mobile computing
Virtual environments: presence, virtual characters; interaction; rendering; mixed reality
Vision and imaging science: face recognition; medical image analysis; statistical modelling of colour information; inverse problems and building mathematical models for augmented reality; diffusion tensor imaging
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Research at UCL Computer Science has made a deep, lasting and sustained impact on today's society.
UCL Computer Science has built a reputation as one of the major university centres for applied computer science research in Europe. Because we have some of the top UK research groups in many fields, you will be supervised by academics at the very forefront of computer science, in a wide range of areas.
Research areas:
Bioinformatics: protein structure; genome analysis; transmembrane protein modelling; de novo protein design methods; exploiting grid technology; mathematical modelling of biological processes
Financial computing: software engineering; computational statistics and machine learning; mathematical modelling
Human centred systems: usability of security and multimedia systems; making sense of information; human error and cognitive resilience
Information security: cryptology; digital watermarking; cryptoanalysis; steganography
Intelligent systems: knowledge representation and reasoning; machine learning
Media futures: digital rights management; information retrieval; computational social science; recommender systems
Networks: internet architecture; protocols; mobile networked systems; applications and evolution; high-speed networking
Programming Principles, Verification and Logic’: logic and the semantics of programs; automated tools for verification and program analysis; produce mathematically rigorous concepts and techniques that aid in the construction and analysis of computer systems; applied logic outreach in AI, security, biology, economics
Software systems engineering: requirements engineering; software architecture; middleware technologies; distributed systems; software tools and environments; mobile computing
Virtual environments: presence, virtual characters; interaction; rendering; mixed reality
Vision and imaging science: face recognition; medical image analysis; statistical modelling of colour information; inverse problems and building mathematical models for augmented reality; diffusion tensor imaging
Admission Requirements
Tuition fees
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