入学要求 Requirement：
学术要求：2.2 (Lower 2nd class hons degree or international equivalent)
英语要求： IELTS 6.0 (no less than 5.0 in any element)
学费 Tuition Fee：2011/2012 £11,420
课程特征 Course Features：
This course is one of a suite of new MScs in Scientific Computation that are genuinely multidisciplinary in nature. These new courses will be taught by internationally leading experts in various application areas and in the core areas of mathematics and computing science, fully reflecting the multidisciplinary nature of the subject. The courses have been carefully designed to be accessible to anyone with a good first degree in science or engineering. They are excellent preparation either for research in an area where computational techniques play a significant role, or for a career in business or industry.
课程内容 Course Content ：
Compulsory
•Computational Linear Algebra
• Programming for Scientific Computation
• Variational Methods
Optional - students must choose 60 credits from:
• Advanced Computer Architecture
• Advanced Techniques for Differential Equations
• Algorithm Design
• Computer Graphics Applications
• Foundations of Artificial Intelligence
• Object Oriented Systems
• Operations Research and Modelling
• Parallel and Distributed Computing
• Simulation for Computer Scientists
• Stochastic Financial Modelling
• Vocational Mathematics
Over the summer period towards the end of the course, you will undertake a research project in scientific computation. This research will be of some depth and will form the basis of your dissertation; it will be carried out under the supervision of a member of academic staff.
This project will develop your ability to engage in independent learning, and will prepare you for postgraduate research or careers in industry.
职业前景 Career Prospects：
This course offers a solid grounding in modern scientific computation that will prepare you either for a career in industry or for research in an area where computational methods play a significant role. You will gain experience of the type of problems encountered by academic and industrial researchers, both via taught courses and project work on an individual and group basis.