MSc in Mathematics
The MSc in Mathematics course has been designed for students who want to continue their mathematics studies by delving more deeply into particular aspects of pure and applied mathematics. The modules may well be of interest to mathematically inclined scientists and engineers as well as to mathematicians.
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Career relevance and employability Mathematics is at the heart of advances in science, engineering and technology, as well as being an indispensable problemsolving and decisionmaking tool in many other areas of life. It is no surprise therefore that mathematics postgraduates can be found throughout industry, business and commerce, in the public and private sectors. Employers value the intellectual rigour and reasoning skills that mathematics students can acquire, their familiarity with numerical and symbolic thinking and the analytic approach to problemsolving which is their hallmark. There are a variety of reasons for studying mathematics at postgraduate level. You may want a postgraduate qualification in order to distinguish yourself from an increasingly large graduate population. You may find, particularly if you are a professional programmer or work in finance, that your undergraduate mathematical knowledge is becoming insufficient for your career requirements, especially if you are hoping to specialise in one of the more mathematical areas, which are becoming more sought after by employers. The extent of opportunities is vast and mathematics postgraduates are equipped with skills and knowledge required for jobs in fields such as finance, education, engineering, science and business, as well as mathematics and mathematical science research. There is more information about how OU study can improve your employability in the OU's Employability Statement from our Careers Advisory Service. You can also read or download our publication OU study and your career and look at our subject pages to find out about career opportunities.
Modules For this 180credit masters degree you require: 150 credits from the following optional modules: Postgraduate optional modules  Credits  Next start   Advanced mathematical methods (M833)

Learn advanced mathematical methods with the aid of algebraic computing language Maple, and explore various forms of approximation on this MSc in Mathematics course. See full description.  30    Analytic number theory I (M823)

This course introduces number theory  which is still undergoing intensive development  using techniques from analysis, particularly the convergence of series and the calculus of residues. See full description.  30  Feb FINAL   Analytic number theory II (M829)

This course teaches number theory using techniques from analysis, and in particular the convergence of series and the calculus of residues. See full description.  30  Feb FINAL   Applied complex variables (M828)

Complex variable theory pervades many subjects, and this course teaches topics that are useful in the theoretical sciences and of interest in their own right. See full description.  30  Feb   Approximation theory (M832)

Develop your understanding of the mathematical theory behind many approximation methods in common use. The course is based on M.J.D. Powell's Approximation Theory and Methods. See full description.  30  Feb FINAL   Calculus of variations and advanced calculus (M820)

This course, which develops the theory of the calculus of variations and other related topics, is the starting point for our MSC in Mathematics. See full description.  30  Feb   Coding theory (M836)

Explore the theory of errordetecting and errorcorrecting codes, investigate the bounds of these codes, and discover how they can be used in real situations. See full description.  30  Feb   Fractal geometry (M835)

This course examines the theory of fractals  whose geometry cannot easily be described in classical terms  and studies examples to which it can be applied. See full description.  30    Functional analysis (M826)

This course, based on Elements of Functional Analysis by I.J. Maddox, examines sets of functions, and looks at mapping from one set to others. See full description.  30    Nonlinear ordinary differential equations (M821)

Relevant to scientists, engineers and mathematicians, this introduction to basic theory and simpler approximation schemes covers systems with two degrees of freedom. See full description.  30  Feb  Or, subject to the rules about excluded combinations, the discontinued modules M431, M822, M824, M827, M830, M841, M860, M861 And 30 credits from the following compulsory module: Postgraduate compulsory module  Credits  Next start   Dissertation in mathematics (M840)

Undertake independent study of the history of modern geometry or advances in approximation theory, culminating in a dissertation on a topic of your choice. See full description.  30  Feb  For this 180credit masters degree you require: If you started your MSc studies before February 2007 and claim your qualification by 31 December 2014, 180 credits from the following optional modules: Postgraduate optional modules  Credits  Next start   Advanced mathematical methods (M833)

Learn advanced mathematical methods with the aid of algebraic computing language Maple, and explore various forms of approximation on this MSc in Mathematics course. See full description.  30    Analytic number theory I (M823)

This course introduces number theory  which is still undergoing intensive development  using techniques from analysis, particularly the convergence of series and the calculus of residues. See full description.  30  Feb FINAL   Analytic number theory II (M829)

This course teaches number theory using techniques from analysis, and in particular the convergence of series and the calculus of residues. See full description.  30  Feb FINAL   Applied complex variables (M828)

Complex variable theory pervades many subjects, and this course teaches topics that are useful in the theoretical sciences and of interest in their own right. See full description.  30  Feb   Approximation theory (M832)

Develop your understanding of the mathematical theory behind many approximation methods in common use. The course is based on M.J.D. Powell's Approximation Theory and Methods. See full description.  30  Feb FINAL   Calculus of variations and advanced calculus (M820)

This course, which develops the theory of the calculus of variations and other related topics, is the starting point for our MSC in Mathematics. See full description.  30  Feb   Coding theory (M836)

Explore the theory of errordetecting and errorcorrecting codes, investigate the bounds of these codes, and discover how they can be used in real situations. See full description.  30  Feb   Dissertation in mathematics (M840)

Undertake independent study of the history of modern geometry or advances in approximation theory, culminating in a dissertation on a topic of your choice. See full description.  30  Feb   Fractal geometry (M835)

This course examines the theory of fractals  whose geometry cannot easily be described in classical terms  and studies examples to which it can be applied. See full description.  30    Functional analysis (M826)

This course, based on Elements of Functional Analysis by I.J. Maddox, examines sets of functions, and looks at mapping from one set to others. See full description.  30    Nonlinear ordinary differential equations (M821)

Relevant to scientists, engineers and mathematicians, this introduction to basic theory and simpler approximation schemes covers systems with two degrees of freedom. See full description.  30  Feb  Or, subject to the rules about excluded combinations, the discontinued modules M431, M822, M824, M827, M830, M841, M860, M861
Educational aims The MSc in Mathematics is designed for you if you want to continue your studies by delving more deeply into particular aspects of pure and applied mathematics. The range of modules offered is sufficiently varied to interest mathematically inclined scientists and engineers as well as mathematicians.
Learning outcomes The programme leading to this degree provides you with opportunities to develop and demonstrate knowledge and understanding in the following areas: Knowledge and understanding When you have completed this degree you will have knowledge and understanding of:  the fundamental and advanced concepts, principles and techniques from a range of topic areas
 specific knowledge and understanding will be determined by your particular choice of modules, according to your particular needs and interests.
Cognitive skills When you have completed this degree you will be able to:  understand how to solve some problems using the methods taught
 assimilate complex mathematical ideas and arguments
 develop abstract mathematical thinking
 develop mathematical and physical intuition.
Practical and/or professional skills Key skills When you have completed this degree, you will be able to demonstrate the following skills:  the ability to advance your own knowledge and understanding through independent learning
 communicate clearly knowledge, ideas and conclusions about mathematics
 develop problemsolving skills and apply them independently to problems in pure and applied mathematics
 communicate effectively in writing about the subject
 improve your own learning and performance.
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