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University of Exeter: Computer Science
| Institution | University of Exeter View institution profile |
|---|---|
| Department | Computer Science |
| Web | https://www.exeter.ac.uk/postgraduate |
Doctor of Philosophy - PhD
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
The departmental research webpages provide more comprehensive details about current research projects and details of individual staff research interests and publications can be found on our staff profiles pages as well as a list of our current postgraduate researchers. The department and researchers closely collaborate with a range of industrial partners, with the Impact Lab based at Exeter Science Park, and have opportunities to collaborate and contribute to the University’s membership of the Alan Turing Institute, the national institute for Data Science and AI.
Our main areas of Computer Science research are:
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science. Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc. Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems. Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks. Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution. High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing. Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 8 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
MSc
Summary
-
Intended for graduates from a non-computing background who aspire to work with computers in a range of industries.
-
Designed to complement your first degree with the knowledge, and skills, required to thrive in the dynamic and rapidly evolving field of computer science.
-
Enhances employability in a competitive job market by providing you with both specialised technical knowledge and the communication skills often sought by employers.
-
Learn about the latest developments, tools and methodologies in areas such as artificial intelligence, cyber security and software engineering.
-
Encourages the application of knowledge from different disciplines to provide an integrated approach to problem-solving.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| ESEEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
| Level | RQF Level 7 |
| Entry requirements | Applicants are required to have at least a 2:2 degree in a non-related science undergraduate degree, or a 2:2 in any other degree subject and A Level Mathematics at Grade A or equivalent. Please note, this is a conversion course designed to allow students from a wide range of backgrounds to pursue a career in computer science. If you have studied Computer Science, Mathematics, Physics, Engineering or other related degree, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business. The MSc Computer Science programme is a conversion course intended for students who have a non-related degree background therefore the course content has been designed so that it is appropriate for that entry level. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
-
Intended for graduates from a non-computing background who aspire to work with computers in a range of industries.
-
Designed to complement your first degree with the knowledge, and skills, required to thrive in the dynamic and rapidly evolving field of computer science.
-
Enhances employability in a competitive job market by providing you with both specialised technical knowledge and the communication skills often sought by employers.
-
Learn about the latest developments, tools and methodologies in areas such as artificial intelligence, cyber security and software engineering.
-
Encourages the application of knowledge from different disciplines to provide an integrated approach to problem-solving.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| ESEEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
| Level | RQF Level 7 |
| Entry requirements | Applicants are required to have at least a 2:2 degree in a non-related science undergraduate degree, or a 2:2 in any other degree subject and A Level Mathematics at Grade A or equivalent. Please note, this is a conversion course designed to allow students from a wide range of backgrounds to pursue a career in computer science. If you have studied Computer Science, Mathematics, Physics, Engineering or other related degree, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business. The MSc Computer Science programme is a conversion course intended for students who have a non-related degree background therefore the course content has been designed so that it is appropriate for that entry level. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
The MSc Computer Science programme is designed for individuals from diverse academic backgrounds seeking a seamless transition into the dynamic field of Computer Science. This one-year programme combines theoretical foundations with practical, hands-on experience to equip students with the essential skills and knowledge demanded by the diverse application domains of society and industry.
The programme structure is designed to provide the core concepts in computer science in term 1, such as algorithms and architectures, data systems, programming and security. In term 2 this foundation of knowledge will be extended to the practical domains with the introduction of ethical and governance frameworks as well as professional frameworks in software development. Also in term 2 students will have the opportunity to explore a number of applications. Finally the capstone project of the degree will be an individual research project completed under the supervision of a computer science academic.
By the end of the degree programme you will have learned the core principles of computer science and mastered the practical skills to solve real-world problems through the application of computer science.
-
Intended for graduates from a non-computing background who aspire to work with computers in a range of industries.
-
Designed to complement your first degree with the knowledge, and skills, required to thrive in the dynamic and rapidly evolving field of computer science.
-
Enhances employability in a competitive job market by providing you with both specialised technical knowledge and the communication skills often sought by employers.
-
Learn about the latest developments, tools and methodologies in areas such as artificial intelligence, cyber security, human-centred computing and software engineering.
-
Encourages the application of knowledge from different disciplines to provide an integrated approach to problem-solving.
| ESEEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
| Level | RQF Level 7 |
| Entry requirements | Applicants are required to have at least a 2:1 degree. No specific subjects are required. Applicants are also required to have A Level Mathematics at Grade A or equivalent. This programme has been designed to allow students from a wide range of backgrounds to pursue a career in computer science. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
The MSc Computer Science programme is designed for individuals from diverse academic backgrounds seeking a seamless transition into the dynamic field of Computer Science. This one-year programme combines theoretical foundations with practical, hands-on experience to equip students with the essential skills and knowledge demanded by the diverse application domains of society and industry.
The programme structure is designed to provide the core concepts in computer science in term 1, such as algorithms and architectures, data systems, programming and security. In term 2 this foundation of knowledge will be extended to the practical domains with the introduction of ethical and governance frameworks as well as professional frameworks in software development. Also in term 2 students will have the opportunity to explore a number of applications. Finally the capstone project of the degree will be an individual research project completed under the supervision of a computer science academic.
By the end of the degree programme you will have learned the core principles of computer science and mastered the practical skills to solve real-world problems through the application of computer science.
-
Intended for graduates from a non-computing background who aspire to work with computers in a range of industries.
-
Designed to complement your first degree with the knowledge, and skills, required to thrive in the dynamic and rapidly evolving field of computer science.
-
Enhances employability in a competitive job market by providing you with both specialised technical knowledge and the communication skills often sought by employers.
-
Learn about the latest developments, tools and methodologies in areas such as artificial intelligence, cyber security, human-centred computing and software engineering.
-
Encourages the application of knowledge from different disciplines to provide an integrated approach to problem-solving.
| ESEEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
| Level | RQF Level 7 |
| Entry requirements | Applicants are required to have at least a 2:1 degree. No specific subjects are required. Applicants are also required to have A Level Mathematics at Grade A or equivalent. This programme has been designed to allow students from a wide range of backgrounds to pursue a career in computer science. We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
MSc (Res)
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
The departmental research webpages provide more comprehensive details about current research projects and details of individual staff research interests and publications can be found on our staff profiles pages as well as a list of our current postgraduate researchers. The department and researchers closely collaborate with a range of industrial partners, with the Impact Lab based at Exeter Science Park, and have opportunities to collaborate and contribute to the University’s membership of the Alan Turing Institute, the national institute for Data Science and AI.
Our main areas of Computer Science research are:
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science. Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc. Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems. Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks. Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution. High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing. Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Master of Philosophy - MPhil
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
Our main areas of Computer Science research are:
-
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science.
-
Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc.
-
Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems.
-
Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks.
-
Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution.
-
High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing.
-
Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
Our main areas of Computer Science research include Artificial Intelligence, Computer Vision, Cyber Security, Data and Network Science, Evolutionary Computing and Optimisation, High Performance Computing and Networking, and Machine Learning.
The departmental research webpages provide more comprehensive details about current research projects and details of individual staff research interests and publications can be found on our staff profiles pages as well as a list of our current postgraduate researchers. The department and researchers closely collaborate with a range of industrial partners, with the Impact Lab based at Exeter Science Park, and have opportunities to collaborate and contribute to the University’s membership of the Alan Turing Institute, the national institute for Data Science and AI.
Our main areas of Computer Science research are:
Artificial intelligence research areas focus on social network understanding, remote sensing, human-computer interaction, cognitive science and on the philosophical foundations of artificial intelligence and computer science. Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc. Cyber security research mainly focuses on formal methods, security/safety engineering, and software engineering with the aim to build secure, reliable, resilient software and hardware systems. Data and network science research the phenomena, intrinsic properties and real-world applications of complex networks (such as complex networks and human dynamics), which are often inspired by nature and occur in many real-world contexts including social, biological and neural networks. Evolutionary computing and optimisation research focuses on developing evolutionary algorithms, genetic programming, hyperheuristics, swarm intelligence and multi- and many- objective versions of these for problems such as hydroinformatics, bioinformatics, optimisation under uncertainty and interactive evolution. High performance computing and networking investigates the advanced computational and networking challenges associated with the future Internet, 5G mobile networks, cloud and edge computing, unmanned vehicles, and high performance computing. Machine learning research at Exeter spans the range of data, applications and methodologies from kernel methods to deep neural architectures and reinforcement learning applied to both continuous and discrete, graph-based data.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Study type | Research |
|---|---|
| Level | RQF Level 7 |
| Entry requirements | For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
A Russell Group university offering outstanding career prospects
At the University of Exeter, we provide study opportunities in beautiful and historic surroundings in South West England. Studying with us will give you the opportunity to become an expert in your field, develop valuable skills and help you build the foundations for your career.
We are a member of the prestigious Russell Group of top UK research universities, ranked in the country’s top 15 in The Times and Sunday Times Good University Guide 2025. We are proud to produce ambitious alumni who progress to successful global careers …
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