MPhil Computer Science
- Country United Kingdom
- Course Duration 24 month
- Course Type Full Time
- Courses Campus On Campus
- Language Specification IELTS
- Program Level Post-Graduate
- Education Required Graduate
- Admission intake SEP
- Minimum GPA 3.3
Application Charges
| Application Fee | Tution Fee |
|---|---|
| Free | GBP 26,700 |
Application Date
| Application Start Date | Application Closing Date |
|---|---|
|
2022-12-07
|
2023-01-10
|
Program Description
Join us for your MPhil or PhD in Computer Science. Your research will be supported by an experienced computer scientist within a research group and with the support of a team of advisers.Research supervision is available under our seven research areas. These areas reflect our strengths, capabilities and critical mass.Advanced Model-Based Engineering and Reasoning (AMBER)
The AMBER group aims to equip systems and software engineering practitioners with effective methods and tools for developing the most demanding computer systems. We do this by means of models with well-founded semantics.
Open Lab
Open Lab is the leading academic research centre for human-computer interaction (HCI) and ubiquitous computing (Ubicomp) research outside of the USA. It conducts research across a wide range of fundamental topics in HCI and Ubicomp, including:
- interaction design methods, techniques and technologies
- mobile, social and wearable computing
- computational behaviour analysis
Interdisciplinary Computing and Complex BioSystems (ICOS)
ICOS carries out research at the interface of computing science and complex biological systems. We seek to create the next generation of algorithms that provide innovative solutions to problems arising in natural or synthetic systems. We use our interdisciplinary expertise in machine intelligence, complex systems and computational biology.
Scalable Computing
The Scalable Systems group creates the enabling technology we need to deliver tomorrow's large-scale services. This includes work on:
- scalable cloud computing
- big data analytics
- distributed algorithms
- stochastic modelling
- performance analysis
- video game technologies
- green computing
Secure and Resilient Systems
The Secure and Resilient Systems group investigates fundamental concepts, development techniques, models, architectures and mechanisms that directly contribute to creating dependable and secure information systems, networks and infrastructures. We aim to target real-world challenges to the dependability and security of the next generation:
- information systems
- cyber-physical systems
- critical infrastructures
Educational Practice in Computing
The Educational Practice in Computing group focusses on encouraging, fostering and pursuing innovation in teaching computing science. Through this group, your research will focus on pedagogy. You'll apply your research to maximise the impact of innovative teaching practices, programmes and curricula in the School. Examples of innovation work within the group include:
- teacher training and the national Computing at School initiative
- outreach activities including visits to schools and hosting visits by schools
- participation in national fora for teaching innovation
Networked and Ubiquitous Systems Engineering (NUSE)
The NUSE group provides quality of life improvements in the digital age. They address challenges in systems engineering for real-world applications. This includes autonomous transportation, green energy, online safety, big data analysis and digital health.Their core research strengths include:
- cloud/edge computing and big data management
- Internet-of-things (IoT) and cyber resilience
- edge intelligence
- knowledge representation and reasoning
- health data management
- real-time simulations
- video game engineering
