MSc by Research Computer Science drafted draft
England , United Kingdom
Visit Program Website
Tuition Fee
GBP 18,350
Per year
Start Date
Not Available
Medium of studying
On campus
Duration
Not Available
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Details
Program Details
Degree
Masters
Major
Costume Design | Design
Area of study
Information and Communication Technologies | Natural Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 18,350
About Program
Program Overview
Research areas
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.
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