Students preparing for their graduation ceremony at Canterbury Cathedral

International Master's in Mathematics and its Applications with an Industrial Placement - MSc

2020

Studying Mathematics at postgraduate level gives you a chance to begin your own research, develop your own creativity and be part of a long tradition of people investigating analytic, geometric and algebraic ideas.

2020

Overview

If your mathematical background is insufficient for direct entry to the MSc in Mathematics and its Applications, you may apply for this course. The first year of this Master's programme gives you a strong background in mathematics, equivalent to the Graduate Diploma in Mathematics, with second year studies following the MSc in Mathematics and its Applications.

Industrial placements may be undertaken in the UK or overseas. The University does not guarantee every student will find a placement.  Those who do not secure a placement will be transferred to the MSc programme without a placement.

About the School of Mathematics, Statistics and Actuarial Science (SMSAS)

The School has a strong reputation for world-class research as indicated by our results in the latest Research Excellence Framework (REF). Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School.

The Research Excellence Framework (REF) 2014 rated 72% of the School's research output as International Quality or above. The School is in the top 25 in the UK when considered on weighted GPA.

The Mathematics Group also has an excellent track record of winning research grants from the Engineering and Physical Sciences Research Council (EPSRC), the Royal Society, the EU, the London Mathematical Society and the Leverhulme Trust.

National ratings

In the Research Excellence Framework (REF) 2014, research by the School of Mathematics, Statistics and Actuarial Science was ranked 25th in the UK for research power and 100% or our research was judged to be of international quality.

An impressive 92% of our research-active staff submitted to the REF and the School’s environment was judged to be conducive to supporting the development of world-leading research.

The Complete University Guide

In The Complete University Guide 2020, the University of Kent was ranked in the top 10 for research intensity. This is a measure of the proportion of staff involved in high-quality research in the university.

Please see the University League Tables 2020 for more information.

Complete University Guide Research Intensity

Course structure

At least one modern application of mathematics is studied in-depth by each student. Mathematical computing and open-ended project work forms an integral part of the learning experience. There are opportunities for outreach and engagement with the public on mathematics.

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:

  1. Applications of mathematical theories, methods and techniques
  2. The power of generalisation, abstraction and logical argument
  3. Nonlinear and noncommutative phenomena
  4. Geometric, algebraic and analytic thinking
  5. Mathematical computation

Your placement

Placements normally commence shortly after completion of Stage 1 of the MSc (June) or after completion of the short dissertation (August) and vary in length from three months to 50 weeks, extending the MSc programme to between 15 and 24 months.  The start date and duration depend on the employer. Students on a longer placement module (i.e. 6, 9 or 12 months) can transfer to a shorter module if the placement arrangement changes unavoidably once the student has embarked on it, but if a student cannot complete the minimum of three months placement he/she will be required to transfer to the MSc programme without a placement. Placements may be undertaken in the UK or overseas (the University does not guarantee every student will find a placement.  Those who do not secure a placement will be transferred to the MSc programme without a placement).

The placement consists of two modules: Industrial Placement Experience and Industrial Placement Report. Four versions of the Experience module exist to cover placements of different lengths. The Experience module is assessed as pass/fail only and the Report module is graded on a categorical scale.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.  Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

No modules information available for this delivery.

Teaching and Assessment

Coursework involving complex problems testing numerical, analytical, geometric, algebraic and logical skills; Computer assignments using specific mathematical software packages discussed in the computing classes; written unseen examinations; Independent dissertation and project.

Continuation to Industrial Placement

Commencement of the placement is conditional on progression to Stage 2, as determined at the interim examination board in June under the same rules as for the programme without a placement.

The placement consists of two modules: Industrial Placement Experience and Industrial Placement Report. Four versions of the Experience module exist to cover placements of different lengths. The Experience module is assessed as pass/fail only and the Report module is graded on a categorical scale.

Programme aims

  • Provide a masters level mathematical education of excellent quality, informed by research and scholarship
  • Provide an opportunity to enhance students' mathematical creativity, problem solving skills and advanced computational skills
  • Provide an opportunity to graduates to enhance their oral communication, project design and basic research skills
  • Provide an opportunity for students to experience and engage with a creative, research active professional mathematical environment
  • Produce graduates of value to the region and nation by offering students opportunities to learn about mathematics in the context of its application

Learning outcomes

Knowledge and understanding

  • Applications of mathematical theories, methods and techniques 
  • The power of generalisation, abstraction and logical argument
  • Nonlinear and noncommutative phenomena 
  • Geometric, algebraic and analytic thinking
  • Mathematical computation

Intellectual skills

  • Problem solving: ability to work with self-direction and originality in tackling and solving problems as well as an ability to provide an analytic approach to mathematical problem solving
  • Independent critical reading of technical material
  • Independent creative mathematical inquiry: to develop an understanding of how techniques of research and enquiry are used to create and interpret mathematical knowledge, to show initiative in the application of knowledge 
  • Logical argument: ability to formulate detailed rigorous arguments and to deal with complex issues both systematically and creatively 

Subject-specific skills

  • Ability to present mathematical arguments using mathematical typesetting (LaTeX)
  • Ability to communicate with clarity to both a mathematician and a non-specialist audience
  • Ability to carry out symbolic computation (e.g. Maple) for deriving further conclusions
  • Ability to carry out numerical computation (e.g. Matlab) for acquiring further information

Transferable skills

  • Oral and written communication: to communicate technical material, ideas and results to specialist and non-specialist audiences
  • Project design: to independently plan, implement and complete a project to professional level
  • Basic research: to be able to select and critically evaluate appropriate material from a variety of sources, to be able to use appropriate IT tools, to be able to write a literature survey, to investigate a mathematical topic in depth
  • Organisational, decision-making, self-management and time management skills including the ability to manage own learning and self-development, and to plan and implement tasks autonomously
  • Additional skills specific to the programme with an Industrial Placement:
  • Practical experience of the application in a working environment of knowledge and skills gained through academic study.

Careers

A postgraduate degree in Mathematics is a flexible and valuable qualification that gives you a competitive advantage in a wide range of mathematically oriented careers. Our programmes enable you to develop the skills and capabilities that employers are looking for including problem-solving, independent thought, report-writing, project management, leadership skills, teamworking and good communication.

Many of our graduates have gone on to work in international organisations, the financial sector, and business. Others have found postgraduate research places at Kent and other universities.

Study support

Postgraduate resources

The University’s Templeman Library houses a comprehensive collection of books and research periodicals. Online access to a wide variety of journals is available through services such as ScienceDirect and SpringerLink. The School has licences for major numerical and computer algebra software packages. Postgraduates are provided with computers in shared offices in the School. The School has two dedicated terminal rooms for taught postgraduate students to use for lectures and self-study.

Support

The School has a well-established system of support and training, with a high level of contact between staff and research students. There are two weekly seminar series: The Mathematics Colloquium at Kent attracts international speakers discussing recent advances in their subject; the Friday seminar series features in-house speakers and visitors talking about their latest work. These are supplemented by weekly discussion groups. The School is a member of the EPSRC-funded London Taught Course Centre for PhD students in the mathematical sciences, and students can participate in the courses and workshops offered by the Centre. The School offers conference grants to enable research students to present their work at national and international conferences.

Dynamic publishing culture

Staff publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: Advances in Mathematics; Algebra and Representation Theory; Journal of Physics A; Journal of Symbolic Computations; Journal of Topology and Analysis. Details of recently published books can be found within the staff research interests.

Global Skills Award

All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.  

Entry requirements

All applicants are considered on an individual basis and additional qualifications, professional qualifications and experience will also be taken into account when considering applications. 

International students

Please see our International Student website for entry requirements by country and other relevant information for your country.  Please note that international fee-paying students cannot undertake a part-time programme due to visa restrictions.

English language entry requirements

The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. Certain subjects require a higher level.

For detailed information see our English language requirements web pages. 

Need help with English?

Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.

Research areas

Nonlinear differential equations

The research on nonlinear differential equations primarily studies algorithms for their classification, normal forms, symmetry reductions and exact solutions. Boundary value problems are studied from an analytical viewpoint, using functional analysis and spectral theory to investigate properties of solutions. We also study applications of symmetry methods to numerical schemes, in particular the applications of moving frames.

Painlevé equations

Current research on the Painlevé equations involves the structure of hierarchies of rational, algebraic and special function families of exact solutions, Bäcklund transformations and connection formulae using the isomonodromic deformation method. The group is also studying analogous results for the discrete Painlevé equations, which are nonlinear difference equations.

Mathematical biology

Artificial immune systems use nonlinear interactions between cell populations in the immune system as the inspiration for new computer algorithms. We are using techniques of nonlinear dynamical systems to analyse the properties of these systems.

Quantum integrable systems

Current research on quantum integrable systems focuses on powerful exact analytical and numerical techniques, with applications in particle physics, quantum information theory and mathematical physics.

Topological solitons

Topological solitons are stable, finite energy, particle-like solutions of nonlinear wave equations that arise due to the general topological properties of the nonlinear system concerned. Examples include monopoles, skyrmions and vortices. This research focuses on classical and quantum behaviour of solitons with applications in various areas of physics including particle, nuclear and condensed matter physics. The group employs a wide range of different techniques including numerical simulations, exact analytic solutions and geometrical methods.

Algebra and representation theory

A representation of a group is the concrete realisation of the group as a group of transformations. Representation theory played an important role in the proof of the classification of finite simple groups, one of the outstanding achievements of 20th-century algebra. Representations of both groups and algebras are important in diverse areas of mathematics, such as statistical mechanics, knot theory and combinatorics.

Algebraic topology

In topology, geometry is studied with algebraic tools. An example of an algebraic object assigned to a geometric phenomenon is the winding number: this is an integer assigned to a map of the n-dimensional sphere to itself. The methods used in algebraic topology link in with homotopy theory, homological algebra and modern category theory.

Invariant theory

Invariant theory has its roots in the classical constructive algebra of the 19th century and motivated the development of modern algebra by Hilbert, Noether, Weyl and others. There are natural applications and interactions with algebraic geometry, algebraic topology and representation theory. The starting point is an action of a group on a commutative ring, often a ring of polynomials on several variables. The ring of invariants, the subring of fixed points, is the primary object of study. We use computational methods to construct generators for the ring of invariants, and theoretical methods to understand the relationship between the structure of the ring of invariants and the underlying representation.

Financial mathematics

Research includes work on financial risk management, asset pricing and optimal asset allocation, along with models to improve corporate financial management.

Staff research interests

Full details of staff research interests can be found on the School's website.

Professor Peter A Clarkson: Professor of Mathematics

Soliton theory, in particular the Painlevé equations, and Painlevé analysis. Asymptotics, Bäcklund transformations, connection formulae and exact solutions for nonlinear ordinary differential and difference equations, in particular the Painlevé equations and discrete Painlevé equations. Orthogonal polynomials and special functions, in particular nonlinear special functions such as the Painlevé equations. Symmetry reductions and exact solutions of nonlinear partial differential equations, in particular using nonclassical and generalized techniques.

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Dr Clare Dunning: Senior Lecturer in Applied Mathematics

Exactly solvable models in mathematical physics; integrable quantum field theory and spectral theory of ordinary differential equations.

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Professor Peter Fleischmann: Professor of Pure Mathematics

Representation theory and structure theory of finite groups; constructive invariant theory; applied algebra and discrete mathematics.

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Dr Steffen Krusch: Lecturer in Applied Mathematics

Topological solitons in mathematical physics, in particular the classical and quantum behaviour of Skyrmions.

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Dr Stephane Launois: Reader in Pure Mathematics

Non-commutative algebra and non-commutative geometry, in particular, quantum algebras and links with their (semi-)classical counterparts: enveloping algebras and Poisson algebras.

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Dr Bas Lemmens: Senior Lecturer in Mathematics

Nonlinear (functional) analysis, dynamical systems theory and metric geometry. In particular, the theory of monotone dynamical systems and its applications, and the geometry of Hilbert's metric spaces.

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Dr Ana F. Loureiro: Lecturer in Mathematics

Orthogonal polynomials; special functions and integral transforms; some aspects of combinatorics and approximation theory.

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Professor Elizabeth L Mansfield: Professor of Mathematics

Nonlinear differential and difference equations; variational methods; moving frames and geometric integration.

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Dr Jaideep S Oberoi: Lecturer in Finance

Identification and quantification of liquidity risk in financial markets and the implications of incomplete information for asset price co-variation.

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Dr Rowena E Paget: Lecturer in Pure Mathematics

Representation theory of groups and algebras, with emphasis on algebras possessing a quasihereditary or cellular structure, such as the group algebras of symmetric groups, Brauer algebras and other diagram algebras.

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Dr Constanze Roitzheim: Lecturer in Mathematics

Stable homotopy theory, in particular model categories and chromatic homotopy theory; homological algebra; A-infinity algebras.

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Dr R James Shank: Reader in Mathematics

The invariant theory of finite groups and related aspects of commutative algebra, algebraic topology and representation theory.

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Dr Huamao Wang: Lecturer in Finance

Developing mathematical models; numerical methods and practical application of portfolio optimisation; derivative pricing and hedging; risk management based on stochastic calculus, optimal control, filtering and simulation.

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Dr Jing Ping Wang: Reader in Applied Mathematics

Geometric and algebraic properties of nonlinear partial differential equations; test and classification of integral systems and asymptotic normal forms of partial differential equations.

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Dr Ian Wood: Lecturer in Mathematics

Analysis of PDEs and spectral theory, in particular, the study of spectral properties of non-self adjoint operators via boundary triples and M-functions (generalised Dirichlet-to-Neumann maps), regularity to solutions of PDEs in Lipschitz domains and waveguides in periodic structures.

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Dr Chris F Woodcock: Senior Lecturer in Pure Mathematics

P-adic analogues of classical functions; commutative algebra; algebraic geometry; modular invariant theory.

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Fees

The 2019/20 annual tuition fees for this programme are:

For details of when and how to pay fees and charges, please see our Student Finance Guide.

For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* If you are uncertain about your fee status please contact information@kent.ac.uk

General additional costs

Find out more about general additional costs that you may pay when studying at Kent. 

Funding

Search our scholarships finder for possible funding opportunities. You may find it helpful to look at both: