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COMPUTER SCIENCE FACULTY OF ENGINEERING
Computer Science Programme Advanced Computing
Advanced Computing – Machine Learning, Data Mining and High-Performance Computing
Computer Science (conversion)
Awards MSc
MSc MSc
Duration 1yr FT
1yr FT 1yr FT Fees (per year)*
UK/EU £11,000 FT Overseas £21,700 FT
UK/EU £11,000 FT Overseas £21,700 FT
UK/EU £14,100 FT Overseas £23,000 FT
Contact
choosebristol-pg@bristol.ac.uk choosebristol-pg@bristol.ac.uk choosebristol-pg@bristol.ac.uk
For further details, including entry requirements, programme structure, unit content and how to apply, see
bristol.ac.uk/pg-study. Research programmes are listed on the Faculty of Engineering pages (pp48-49). *See p43 for more information about tuition fees.
MSc Advanced Computing This MSc is for students who already have a first degree in computer science or a related subject. It will help you gain expertise with more advanced material in a range of specialist areas and covers both theory and practical application. It is suitable preparation for either a career in industry or a PhD.
You will have a wide choice of taught units, which are based around specialised themes such as intelligent systems, robotics and high-performance computing. After completing the taught units, you will work on a project between mid-June and late September. The project consists of researching, planning and implementing a major piece of work.
The project must contain a significant scientific or technical component and will usually involve software development.
Entry requirements: An upper second-class honours degree with a final average of 65 per cent or above (or international equivalent) in computer science or closely related discipline. Good programming skills are also required. Strong performance in data structures and discrete maths are also expected.
MSc Advanced Computing – Machine Learning, Data Mining and High Performance Computing Machine learning, data mining and high- performance computing are concerned with the automated analysis of large-scale data
bristol.ac.uk/pg-study
by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art artificial intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments and provide intelligent decision support.
This programme is aimed at giving you a solid grounding in machine learning, data mining and high-performance computing technology. It aims to equip you with the skills necessary to apply these tools and techniques to solving complex scientific and business problems.
There are four core units and a choice of optional units, which you can select depending on your previous experience or preference. You will then complete a project that involves researching, planning and implementing a major piece of work. The project must contain a significant scientific or technical component and will usually involve software development. It is usually submitted in September.
Entry requirements: An upper second-class honours degree with a final average of 65 per cent or above (or international equivalent) in computer science or a related discipline. Strong performance in core computer science units is essential. Good programming skills are also required.
MSc Computer Science (conversion) This MSc conversion programme is for students from a variety of academic backgrounds who
have little or no previous academic computing experience. The aims of the programme are to build an understanding of the basis of computer science and its importance in software development, along with an understanding of the underlying principles of computer systems and their applications. It provides an introduction to industrial-style methods of analysis, design, implementation, testing and documentation in software development. It will also give you an appreciation of the current state and future directions of technological advances in computer science.
The MSc is split into two teaching blocks and a summer project that involves researching, planning and implementing a major piece of work with a significant scientific, technical or software development component. The main programming languages taught on the course are C and Java. There is a strong emphasis on individual and group projects for putting into practice what you learn about software engineering, web technologies, databases, computer architecture and research skills.
Entry requirements: A minimum of an upper second-class honours degree with a final average of 65 per cent or above (or international equivalent) in any subject other than computer science. Competence in mathematics must be demonstrated, with at least a good grade in GCSE Mathematics or preferably A-level Mathematics or equivalent university- level experience.
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