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The primary focus of the course is to raise the level of knowledge and expertise
that is normally associated with an undergraduate course, to a higher level
that exposes students to modern developments in the areas of mathematical and
statistical modelling and the solution techniques. The inclusion of both advanced
theoretical concepts and the extensive use of computer software and case study
investigations ensures that graduates would be well equipped to pursue professional
careers or undertake further postgraduate study by research.
The course aims to consolidate the mathematical knowledge and problem solving
skills of students who already possess a good degree in a numerate discipline,
or a less mathematical degree plus relevant and numerate industrial experience.
As well as enhancing the level of skills and the expertise, the course aims
to produce mathematics practitioners who are capable of modelling and analysing
complex real world problems competently and professionally.
The core modules include:
- Matrices, Series and Metric Spaces;
- Applied Statistical Modelling
and Stochastic Processes;
- Mathematical Models and Methods;
- Optimisation Methods and Simulation;
- Research and Development Skills.
In addition to the taught core modules and the Project that make up the course,
students will have the opportunity to select a module in one of Information
Security, Quantitative Finance or Applied Data Mining areas.
Entry requirement
The standard academic entry requirement is normally an undergraduate degree
awarded at Upper Second class Honours degree or higher in Mathematical
Sciences, Engineering or Physical Sciences from a UK higher education institution.
Graduates from other disciplines with sufficient mathematics content can
also be considered for entry onto the course. Candidates whose first degree
award in the aforementioned subjects is below the standard requirement
but have relevant industrial experience, or who are able to demonstrate
sufficient knowledge and understanding of mathematical topics relevant
to the course, may also be considered and are encouraged to apply. Applicants
with an international degree qualification equivalent to the above entry
requirements will be considered for admission.
About us
The Mathematics Subject area is part of the Faculty of Computing, with 12
full-time academic and research staff, and a number of visiting lecturers
and professors. It offers undergraduate courses in Mathematics, Mathematical
Sciences, Financial Mathematics and Statistics, as well
as a number of joint pathways with Computing and Engineering disciplines.
Postgraduate degrees by research leading to the awards of MPhil and PhD
are also undertaken by a number of students, and financial assistant in
the form of research scholarships are offered to students from time to
time. The Statistics, Operational Research and Mathematics Research Centre
(STORM) is an integral part of the Faculty, and in the 2008 Research Assessment
Exercise (RAE2008), it was ranked amongst the top UK universities for research
in Pure Maths, Statistics and OR. In RAE2008, Pure Maths research was rated
the top of the new universities, with a higher percentage of world leading
work than eight of the ‘old’ universities. Similarly,
in Statistics and OR, STORM had the highest percentage of world leading
research in the new universities (and higher than some ‘old’ universities).
Much of the international esteem of STORM has been rated as being of international
excellence, or of world leading level, and the research group was particularly
commended for its strategic vision, and for its collaborative and interdisciplinary
work.
For further details see:
www.londonmet.ac.uk/pgprospectus/courses/mathematics.cfm
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