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Postgraduate Mathematics degree courses

1 - 20 of 540 mathematics courses . Narrow your results by using the filters on the left.
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Financial Mathematics MSc

City University London

Study modes: Full time

Course description: This course includes: induction course; 8 core moddules; 4 electives; 10,000 word dissertation.(read more)

All mathematics courses at City University London


Mathematical Sciences MPhil

University Of Aberdeen

Study modes: Full time | Part time evening

Course description: Contact provider for further course (read more)

All mathematics courses at University Of Aberdeen


Mathematical Sciences PhD with Integrated Study

Brunel University

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)

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Applied Mathematical Sciences with Biological and Ecological Modelling PgDip

Heriot-Watt University, Edinburgh

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)

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Mathematics Education MSc

University Of Southampton

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)

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Applied Mathematical Sciences MSc

Heriot-Watt University, Edinburgh

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


Financial Mathematics PgDip

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)

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Computational Finance MSc

University Of Essex

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)

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Statistics and Operational Research Diploma

University Of Essex

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)

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Mathematics MSc

King's College London (University Of London)

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)

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Mathematics and Finance MSc

University Of Essex

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)

All mathematics courses at University Of Essex


Pattern Recognition and Classifiers MPhil

Bangor University

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)

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Statistics and Econometrics MSc

University Of Essex

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)

All mathematics courses at University Of Essex


Operational Research MSc (Research)

University Of Essex

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)

All mathematics courses at University Of Essex


Mathematics Education MA

King's College London (University Of London)

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)

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Computational Mathematics with Modelling MSc

Brunel University

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)

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Operational Research and Finance MSc

University Of Southampton

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)

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Discrete Mathematics MPhil

University Of Essex

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)

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Scientific Computation with Mathematical Medicine and Biology MSc

University Of Nottingham

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)

All mathematics courses at University Of Nottingham


Statistics with Applications in Medicine PgDip

University Of Southampton

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)

All mathematics courses at University Of Southampton

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Postgraduate Mathematics reviews

Review

Industrial Mathematical Modelling Msc

Loughborough University

Ingrida, November 2007

Overall 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.

Scholarship

Mathematical Sciences MSc

Durham University

Louis, January 2008

Overall 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.

Postgraduate

Applied Mathematics MSc

Imperial College London

Felix, November 2008

Overall 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.

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