Study modes: Full time
Course description: This course includes: induction course; 8 core moddules; 4 electives; 10,000 word dissertation.(read more)
Study modes: Full time | Part time evening
Course description: Contact provider for further course (read more)
Study modes: Full time
Course description: Programme includes taught elements over all years which cover generic skills (professional skills, career planning), research methods, and discipline specific modules chosen from: numerical solution of ordinary differential equations; numerical solution of partial differential equations; dynamical systems; non-linear algebraic systems and optimisation; integral equations; finite-element analysis; advanced mathematical modelling.(read more)
Study modes: Full time | Part time evening
Course description: This course aims to equip students with the necessary technical skills to develop, analyse and interpret models applied to biological systems.(read more)
All mathematics courses at Heriot-Watt University, Edinburgh
Study modes: Full time | Part time evening
Course description: This programme provides opportunities for developing in-depth understanding and insights in relation to learning and teaching mathematics; this includes examining current curriculum issues, exploring international comparative studies, developing expertise in a variety of research methods, and engaging in cutting-edge research with tutors working in a variety of mathematical areas.(read more)
Study modes: Full time | Part time evening
Course description: Core modules include approximation of continuous systems; dynamical systems; applied linear algebra; options available in such subjects as mathematical modelling; mathematical biology and medicine; optimisation, PDEs; statistics and stochastics; scientific computing; engineering mathematics; management and software engineering.(read more)
All mathematics courses at Heriot-Watt University, Edinburgh
Study modes: Full time
Course description: The course provides an intensive training in the mathematical ideas and tools vital to the finance industry; by developing essential new mathematical concepts, especially in stochastic calculus, and placing the mathematics in the contexts of financial markets, modelling, derivative pricing, portfolio theory and risk management, the course equips students for a range of lucrative and exciting career opportunities.(read more)
All mathematics courses at Heriot-Watt University, Edinburgh
Study modes: Full time | Part time evening
Course description: Course covers core concepts and mathematical principles of modern quantitative finance, plus operational skills to use computational packages for financial modelling (mainly Matlab) for financial modelling; in addition to traditional topics in derivatives and asset pricing, there is special emphasis on risk management in the non-Gaussian environment with extreme events.(read more)
Study modes: Full time
Course description: This course is aimed at students with a 1st degree in which the major subject was mathematics although some prior knowledge of statistics (e.g. significance testing and basic statistical distributions) and operational research (e.g. linear programming) is expected.(read more)
Study modes: Full time | Part time evening
Course description: This programme consists of a wide range of courses and a project; the coursework is organised on a module system; students take modules from a variety including, but not limited to: Basic analysis; Fourier analysis; operator theory; lie groups and lie algebras; manifolds; modular forms; algebraic geometry; quantum mechanics 2; quantum field theory; point particles and string theory; supersymmetry and gauge theory; advanced general relativity.(read more)
All mathematics courses at King's College London (University Of London)
Study modes: Full time | Part time evening
Course description: This course aims to produce graduates with a sound mathematics and finance background, and with the necessary skills like computing, use of algorithms and analysing data, to be applied to problems arising in finance.(read more)
Study modes: Full time
Course description: Pattern recognition is a very active field of research intimately bound to machine learning and data mining; also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern.(read more)
Study modes: Full time
Course description: The course is aimed at students whose first degree included training in both statistics and economics; modules for this course look at how specialised statistical methods are required to deal with the peculiar problems of economic data.(read more)
Study modes: Full time | Part time evening
Course description: Research supervision available in the areas of: Pure mathematics, applied mathematics, statistics and operational research; particular strengths occur in algebra (semi groups); mathematical modelling of laser materials processing; mathematical and statistical studies of the remote sensing of rain; computational operational research.(read more)
Study modes: Full time | Part time evening
Course description: Although rooted in practical experience, the programme emphasises the theoretical study of education; with up-to-date research and evidence-based information about mathematics learning, teaching, assessment, use of technologies and practice, students reflect on current and future mathematics education practices, policies, mathematics curriculum technologies, problems and innovations.(read more)
All mathematics courses at King's College London (University Of London)
Study modes: Full time
Course description: This course provides a thorough grounding in modern numerical analysis, keeping in mind a balance between the theoretical and the practical.(read more)
Study modes: Full time | Part time evening
Course description: This programme offers a firm grounding in finance in preparation for a career in financial institutions; students develop an understanding of how operational research (OR), statistical and optimisation techniques are applied to practical problems, and will acquire many key workplace skills; a 3-month industrial placement follows successful completion of the instructional component.(read more)
Study modes: Full time | Part time evening
Course description: Research supervision is available in all areas of staff expertise relating to discrete mathematics.(read more)
Study modes: Full time
Course description: The course develops ability to think logically and critically; students acquire problem-solving skills; they become competent users of relevant software and learn how to communicate results effectively.(read more)
Study modes: Full time | Part time evening
Course description: This programme provides a broad grounding in advanced statistical methods, with a focus on applications in research, the NHS and the pharmaceutical industry; the School has close connections with many pharmaceutical companies and medical research organisations; the programme structure also allows mathematicians with some statistical experience to move into this field.(read more)
More Mathematics courses
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Industrial Mathematical Modelling Msc
Loughborough University
Ingrida, November 2007Overall score
Everything was perfect. Just sometimes lots of work at a time, and sometimes there is no work at all.
Study experience
Facilities
Computers are good, library is wonderful.
Postgraduate life
Joined just one club: International students.
Job prospects
Very good place to find a work placement.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.
Mathematical Sciences MSc
Durham University
Louis, January 2008Overall score
In general it was very good and would recommend it!
Study experience
Excellent.
Facilities
Good, could be more about maths.
Postgraduate life
Job prospects
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.
Applied Mathematics MSc
Imperial College London
Felix, November 2008Overall score
As a postgraduate student there is not enough student union advertising.
Study experience
There is a lot of independant study - but you get used to managing your workload.
Facilities
My principal concern is the sport. i loove swimming after attending class and the facilities are very nice.
Postgraduate life
I am not a member of clubs.
Job prospects
Sometime with relatives then on to work.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.