国际学生入学条件
For all research degrees you will normally be required to have obtained or expect to obtain a first degree equivalent to at least a UK 2:1 Honours degree. International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile E. .IELTS (Academic) Overall score 7.0 with a minimum score of 6.5 in the writing component and all other sections no less than 6.0 TOEFL IBT Overall score 100 with minimum scores of 25 for writing, and no less than 21 for listening,reading and speaking.
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IDP—雅思考试联合主办方
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雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English (Academic) - 70 with no less than 67 in writing skills and 64 in all other communicative skills
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申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
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.<br><br>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.<br><br>Our main areas of Computer Science research are:<br><br>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. <br>Computer vision research activities include visual attention, autonomous control, collaboration and decision strategies for cooperative robots, deep multi-modal embedding, graph neural networks etc. <br>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.<br>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. <br>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. <br>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. <br>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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