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: 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 | 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 | 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: 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
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
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: Research supervisions available in the areas of: pure mathematics; applied mathematics; statistics; operational research; 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
Course description: The course develops ability to think logically and critically; students acquire problem-solving skills; and become competent users of relevant software; they are able to communicate results effectively.(read more)
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: Equips students with conceptual and practical skills for conducting and appraising systematic reviews and evaluating the potential for and implementation of evidence-informed policy; students are encouraged to build their studies around their own areas of interest; these could relate to social welfare, education, crime and justice, transport, health and health promotion, housing, or any other areas of social policy or practice.(read more)
All mathematics courses at Institute Of Education, University Of London
Study modes: Full time
Course description: Management science informs high-level strategy but can be used at an operational level to improve processes, productivity and performance; the Management Science MSc programmes have recently been redesigned to incorporate the skills which, according to latest research, are in increasing demand from employers; this means that graduates are often able to command above-average starting salaries on completing their masters.(read more)
Study modes: Full time
Course description: This programme develops mathematical modelling skills and provides mathematical techniques required by industry; the period October-June is devoted to lectures, tutorials and practical sessions comprising the core modules; this is followed by a period of about 14 weeks devoted to an individual project either in an industrial or engineering company or at the University.(read more)
Study modes: Full time | Part time evening
Course description: Contact provider for further course (read more)
Study modes: Full time
Course description: Modules include: Advanced topics in statistics; computational statistics; advanced stochastic processes; probability theory; stochastic financial modelling; applied probability; applications of statistics; time series and forecasting; and a dissertation.(read more)
Study modes: Full time | Part time evening
Course description: Students take 3 compulsory modules: Applied probability and stochastics; risk-neutral valuation; interest rate and foreign exchange dynamics; in addition, students take 5 further courses chosen from the following: Financial markets; stochastic analysis; distribution theory; numerical and computational methods in finance; exotic derivatives; portfolio risk management; credit risk management; martingales; applied computational finance.(read more)
All mathematics courses at King's College London (University Of London)
More Mathematics courses
1 - 20 of 177 msc mathematics courses . Narrow your results by using the filters on the left.
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.
Mathematics MSc
University Of Chester
Andy, June 2010Overall score
Overall, I have enjoyed my time studying at the University of Chester. I would definitely recommend it to others who want a small, community based campus with excellent facilities. I would advise students to join a club or society within the Uni.
Study experience
I thought the course wouldn't be as interesting as it has turned out to be. I definitely feel that it has put me in good stead for what I want to become. I would advise students to get assignments done on time and to revise hard because the elation is far better than the disappointment.
Facilities
The library facilities are above average with new PCs and laptops becoming available all the time. Sometimes it's difficult to find a computer but with the large amount on offer, it's hard to not find a free PC. The bar is cosy and warm with a great atmosphere. Well stocked and good facilities make it a great place to relax and socialise. Full sports facilities are availabe from a rugby field, all weather pitch, climbing wall and gymnasium.
Postgraduate life
There are many societies on offer in the University and almost anyone could find one which suited their needs. There are sports clubs, recreational clubs and clubs designed for foreign students. I'm not a member of any clubs.
Job prospects
I am currently undertaking a Postgraduate Degree and I hope to go into full-time employment to clear the debts I have accrued over the years. I would then like to continue studying in America. My course will allow me to look for jobs and gain employment since Mathematics is a sought after subject. I will not pursue any further studies in this University since I would like to travel and expand my horizons.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.