Program Overview
The Computer Science department at University of Liverpool offers research-oriented programs with 97% of its work rated as world-leading. It has strong industry connections and offers a range of research interests including Algorithms and Complex Theory and Robotics. The program also has flexible research platforms that support collaborations with experts.
Program Outline
Degree Overview:
Established in 1983, the Computer Science department at the University of Liverpool has grown into a vibrant environment. In 2014, it became one of the top 10 computer science departments in the UK after 97% of its research was rated as world-leading and internationally excellent by the Research Excellence Framework. The 2014 Research Excellence Framework rated 97% of its research as being world-leading or internationally excellent, the highest proportion of any Computer Science department in the UK. With close industry partnerships and Russell Group status, the department enjoys strong funding and has recently invested £5m in its facilities. It is the perfect setting for world-class experts to do ground-breaking research. To best support its research, the department has flexible platforms that reflect its core interests and strengths. These platforms inspire innovative cross-disciplinary collaborations, with specialists throughout the University and across the world. Research plays an important role in the life of the Department, and members of the Department are well known internationally for their ongoing contributions to the theory and practice of Computing. This has consistently been recognized in research assessment exercises over a number of years.
Other:
Research Interests:
- Algorithms: The scientists in the Algorithms Section focus on the theory and applications of algorithms and also on understanding and coping with complexity. Scientists in this section also design and implement experimental software in order to test, apply, and evaluate advanced algorithmic techniques. The section is organized thematically in three corresponding research groups:
- Algorithms, Complexity Theory and Optimisation
- Economics and Computation
- Networks and Distributed Computing.
- Agent Applications, Research and Technology: Scientific staff in the AI Section focuses on the theory and practice of building intelligent systems across core areas of artificial intelligence, including knowledge representation, data mining and machine learning, argumentation, robotics and autonomous systems, and verification. The section is organized thematically in four corresponding research groups:
- Argumentation and Representation of Knowledge
- Data Mining and Machine Learning
- Robotics and Autonomous Systems
- Verification.
Research Themes:
The current research platforms are grouped into two main sections, each containing a number of more specialized areas. These are:
- Algorithms Section:
- Algorithms, Complexity Theory and Optimisation
- Economics and Computation
- Networks and Distributed Computing.
- Artificial Intelligence Section:
- Argumentation and Representation of Knowledge
- Data Mining and Machine Learning
- Robotics and Autonomous Systems
- Verification.
Research Groups:
- Algorithms Section:
- Algorithms, Complexity Theory and Optimisation
- Economics and Computation
- Algorithms and Networks.
- Artificial Intelligence Section:
- Argumentation and Representation of Knowledge
- Data Mining and Machine Learning
- Robotics and Autonomous Systems
- Verification.
MPhil / PhD Duration UK students International Students Full time 2-4 years £4,786 Faculty of Health and Life Sciences £29,750 (Band A)^ Faculty of Science and Engineering £29,750 (Band A)^ or £23,400 (Band B) Faculty of Humanities and Social Sciences £23,400 (Band B) Part time 4-6 years £2,393 Faculty of Health and Life Sciences £14,900 (Band A)^ Faculty of Science and Engineering £14,900 (Band A)^ or £11,700 (Band B) Faculty of Humanities and Social Sciences £11,700 (Band B) The fees stated in the table above exclude potential research support fees also known as ‘bench fees’. You will be notified of any fee which may apply in your offer letter.
- Please note that if you are undertaking a PhD within the Faculty of Science and Engineering the fee you pay, Band A or Band B, will reflect the nature of your research project. Some research projects incur a higher fee than others e.g. if you are required to undertake laboratory work. You will be informed of the fee for your programme in your offer letter. ^ Self-funded, full-time international students studying a PhD programme classified as Band A will receive a £2,000 reduction in their fees for the first year only.The fees below reflect one year of study during the 2024/25 academic year
University of Liverpool
Entry Requirements:
To be eligible, applicants should possess at least a 2:1 class Honours degree (or its equivalent) in Computer Science or in a related subject. Applications should indicate proposed research topics.
Language Proficiency Requirements:
- IELTS Academic requirement - SELT and non-SELT: Overall 6.5 no band below 5.5
- TOEFL iBT requirement: Minimum 88 overall with L 20 W 20 R 20 and S 22
- C1 Advanced CAE requirement: Overall 176 with no less than 162 in any paper
- Trinity College London, Integrated Skills in English (ISE II): ISE II with an overall pass with merit in components
- Cambridge IGCSE as a First Language: Grade C
- Cambridge IGCSE as a Second Language: Grade B
- Cambridge English Level 3 Certificate in ESOL International (Proficiency): Overall 176 with 162 in components
- Cambridge English Level 3 Certificate in ESOL International (Advanced): Overall 176 with 162 in components
- Cambridge English Level 2 Certificate in ESOL International (Advanced): Overall 176 with 162 in components