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 | 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: 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: 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)
More Mathematics courses
1 - 20 of 305 masters degree mathematics courses . Narrow your results by using the filters on the left.
Public Policy MSc
University Of Bristol
Gemma, December 2007Overall score
Im studying a postgraduate masters course here, Im not sure i would have enjoyed spending 3/4 years here doing my undergraduate but this year has been wicked so far. I graduated from manchester university and i loved it there and met the best people, if id studied here at bristol i dont think i would have done as most people who study at bristol university dont seem like my sort of people. Being from the north myself i find southern people arent so welcoming at up in manchester!!
Study experience
the course is really interesting and the majority of lecturers are really engaging. The course material is also exremely interesting but be prepared for alot of reading and essay writing!!
Facilities
the library is good, but as with most librarys the books are in high demand, many of the librarys also close pretty early but our SU is working on getting a 24 hour library
Postgraduate life
There are lots of societys to choose from, but being a postgraduate i found them all pretty undergraduate orientated so am not part of many myself
Job prospects
Ive heard its good, hence doing my Msc here!! It always does well in league tables also.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.
MSc Social Research
Northumbria University
Melissa, December 2007Overall score
Study experience
Obviously a very difficult course but if it is a subject that you enjoy then i def recommend it
Facilities
Excellent use of projectors presentations and meeting facilities
Postgraduate life
Wonderful students makes learning worthwhile
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.
Occupational Psychology MSc
University Of Gloucestershire
Details Not Given, June 2010Overall score
the need to get experience alongside their studies, and to read throughout the whole course, not just at the end!
Study experience
lecturers who are chartered psychologists with real experience who also care about your well-being on the course. a lot of self-motivation is required for this course, you're certainly not spoon-fed. if you put the effort into lectures and reading around the course, you'll get a lot out of it.
Facilities
the library may not have many books but they are all useful and the library staff are helpful with reserving books etc. there are always computers available throughout campus, in my experience.
Postgraduate life
did not join any because i live away from university
Job prospects
i will be looking for a job, and am hoping to take a route further away from my masters in the field of counselling and clinical psychology. however, there is plenty in the subject matter of my course and also the skills developed through the masters that i will be adding to my cv.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.