University of Nottingham
Scientific Computation with Mathematical Medicine and Biology
Scientific computing is a new and growing discipline in its own right. It is concerned with harnessing the power of modern computers to carry out calculations relevant to science and engineering. By its very nature, scientific computing is a fundamentally multidisciplinary subject. The various application areas give rise to mathematical models of the phenomena being studied. Examples range in scale from the behaviour of cells in biology, to flow and combustion processes in a jet engine, to the formation and development of galaxies. Mathematics is used to formulate and analyse numerical methods for solving the equations that come from these applications. Implementing the methods on modern, high performance computers requires good algorithm design to produce efficient and robust computer programs. Competence in scientific computing thus requires familiarity with a range of academic disciplines. The practitioner must, of course, be familiar with the application area of interest, but it is also necessary to understand something of the mathematics and computer science involved. Whether you are interested in fundamental science, or a technical career in business or industry, it is clear that having expertise in scientific computing would be a valuable, if not essential asset. The question is: how does 1 acquire such expertise? This course is one of a suite of MScs in Scientific Computation that are genuinely multidisciplinary in nature. These new courses are 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.
Lower 2nd Class Honours degree, or international equivalent, in mathematics or a closely related subject with a substantial mathematical content. Experience with computer programming would be useful. Applicants whose 1st language is not English require IELTS: 6.0 (with no less than 5.5 in any element).
Modules include: Advanced data structures; algorithm design; cell structure and function for engineers; mathematical medicine and biology; operations research and modelling; programming for scientific computation; scientific computation dissertation; topics in biomedical mathematics; variational methods; vocational mathematics.
The course comprises 180 credits, split across 120 credits� worth of core and optional modules and a 60-credit research project. Written and oral presentations will be undertaken at various stages of the course. Over the summer period towards the end of the course, you will undertake a research project in scientific computation with specific emphasis on applications to medicine and biology. 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.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||£ 6,010 per Academic year (home fees)||1 years|
|MSc||Full-time||£ 13,730 per Academic year (overseas fees)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University Park Campus||Nottingham||NG7 2RJ||East Midlands|
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