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Queen Mary University of London: Mathematics
Institution | Queen Mary University of London View institution profile |
---|---|
Department | Mathematical Sciences |
Web | https://www.qmul.ac.uk/ |
Doctor of Philosophy - PhD
Summary
For more information about the School and the research programmes please see School of Mathematical Sciences School's research groups:
Algebra and Number Theory
Combinatorics
Complex Systems and Networks
Dynamical Systems and Statistical Physics
Geometry and Analysis
Probability and Applications
Algebra and Number Theory
The Algebra and Number Theory Group at QMUL has a long and distinguished history, going back to such names as Kurt Hirsch, Karl Gruenberg and Ian G. Macdonald. Having made its reputation primarily in group theory, it now covers a range of areas in group theory, representation theory, number theory, algebraic combinatorics, algebraic geometry, logic, homological/categorical algebra, and computational methods.
Combinatorics
A very active group that works both on topics within combinatorics (especially finite geometry and design theory) and on links with algebra (permutation groups), logic (model theory), information and coding theory, and design of experiments.
Complex Systems and Networks
The Complex Systems and Networks group is interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Its main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks. It makes use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations. The group is interested in applications to biology, social systems, and man-made networks, where it address both fundamental problems as well as applied research with some industrial collaborators.
Dynamical Systems and Statistical Physics
The Dynamical Systems and Statistical Physics Group has a broad range of research interests in the area of statistical mechanics as applied to a variety of complex systems, and in the mathematical foundations of dynamical systems theory. Particular emphasis is on non-equilibrium processes, stochastic modelling, ergodic theory, chaotic and nonlinear phenomena, and interdisciplinary applications. The group has numerous collaborations and links with other groups in the department, and with other research groups worldwide.
Geometry and Analysis
The Geometry and Analysis group a vibrant research group with expertise in algebraic, differential and noncommutative geometry, functional and harmonic analysis, mathematical relativity theory, model theory, operator algebras, partial differential equations, quantum algebra and topology. It organises regular seminars throughout the academic year and works closely with other groups in the School of Mathematical Sciences: Algebra, Combinatorics, Dynamical Systems and Statistical Physics.
Probability and Applications
Probability is both a fundamental way of viewing the world, and a core area of mathematics. Probability theory is concerned with the analysis of mathematical models of random phenomena, as occur in many branches of science. The group Probability and Applications at QMUL is engaged in numerous research activities, including stochastic processes, statistics, random discrete structures, random matrices and stochastic optimisation, as well as in applications of probability to statistical physics, modelling of epidemics, networks, financial engineering and other areas.
k.hale@qmul.ac.uk | |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | Candidates for the PhD programmes in Mathematics or Statistics should normally have a first or good upper second-class honours BSc in mathematics or statistics, or a more advanced qualification such as MSci, MMath, or MSc. |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
For more information about the School and the research programmes please see School of Mathematical Sciences School's research groups:
Algebra and Number Theory
Combinatorics
Complex Systems and Networks
Dynamical Systems and Statistical Physics
Geometry and Analysis
Probability and Applications
Algebra and Number Theory
The Algebra and Number Theory Group at QMUL has a long and distinguished history, going back to such names as Kurt Hirsch, Karl Gruenberg and Ian G. Macdonald. Having made its reputation primarily in group theory, it now covers a range of areas in group theory, representation theory, number theory, algebraic combinatorics, algebraic geometry, logic, homological/categorical algebra, and computational methods.
Combinatorics
A very active group that works both on topics within combinatorics (especially finite geometry and design theory) and on links with algebra (permutation groups), logic (model theory), information and coding theory, and design of experiments.
Complex Systems and Networks
The Complex Systems and Networks group is interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Its main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks. It makes use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations. The group is interested in applications to biology, social systems, and man-made networks, where it address both fundamental problems as well as applied research with some industrial collaborators.
Dynamical Systems and Statistical Physics
The Dynamical Systems and Statistical Physics Group has a broad range of research interests in the area of statistical mechanics as applied to a variety of complex systems, and in the mathematical foundations of dynamical systems theory. Particular emphasis is on non-equilibrium processes, stochastic modelling, ergodic theory, chaotic and nonlinear phenomena, and interdisciplinary applications. The group has numerous collaborations and links with other groups in the department, and with other research groups worldwide.
Geometry and Analysis
The Geometry and Analysis group a vibrant research group with expertise in algebraic, differential and noncommutative geometry, functional and harmonic analysis, mathematical relativity theory, model theory, operator algebras, partial differential equations, quantum algebra and topology. It organises regular seminars throughout the academic year and works closely with other groups in the School of Mathematical Sciences: Algebra, Combinatorics, Dynamical Systems and Statistical Physics.
Probability and Applications
Probability is both a fundamental way of viewing the world, and a core area of mathematics. Probability theory is concerned with the analysis of mathematical models of random phenomena, as occur in many branches of science. The group Probability and Applications at QMUL is engaged in numerous research activities, including stochastic processes, statistics, random discrete structures, random matrices and stochastic optimisation, as well as in applications of probability to statistical physics, modelling of epidemics, networks, financial engineering and other areas.
k.hale@qmul.ac.uk | |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | Candidates for the PhD programmes in Mathematics or Statistics should normally have a first or good upper second-class honours BSc in mathematics or statistics, or a more advanced qualification such as MSci, MMath, or MSc. |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
For more information about the School and the research programmes please see School of Mathematical Sciences School's research groups:
Algebra and Number Theory
Combinatorics
Complex Systems and Networks
Dynamical Systems and Statistical Physics
Geometry and Analysis
Probability and Applications
Algebra and Number Theory
The Algebra and Number Theory Group at QMUL has a long and distinguished history, going back to such names as Kurt Hirsch, Karl Gruenberg and Ian G. Macdonald. Having made its reputation primarily in group theory, it now covers a range of areas in group theory, representation theory, number theory, algebraic combinatorics, algebraic geometry, logic, homological/categorical algebra, and computational methods.
Combinatorics
A very active group that works both on topics within combinatorics (especially finite geometry and design theory) and on links with algebra (permutation groups), logic (model theory), information and coding theory, and design of experiments.
Complex Systems and Networks
The Complex Systems and Networks group is interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Its main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks. It makes use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations. The group is interested in applications to biology, social systems, and man-made networks, where it address both fundamental problems as well as applied research with some industrial collaborators.
Dynamical Systems and Statistical Physics
The Dynamical Systems and Statistical Physics Group has a broad range of research interests in the area of statistical mechanics as applied to a variety of complex systems, and in the mathematical foundations of dynamical systems theory. Particular emphasis is on non-equilibrium processes, stochastic modelling, ergodic theory, chaotic and nonlinear phenomena, and interdisciplinary applications. The group has numerous collaborations and links with other groups in the department, and with other research groups worldwide.
Geometry and Analysis
The Geometry and Analysis group a vibrant research group with expertise in algebraic, differential and noncommutative geometry, functional and harmonic analysis, mathematical relativity theory, model theory, operator algebras, partial differential equations, quantum algebra and topology. It organises regular seminars throughout the academic year and works closely with other groups in the School of Mathematical Sciences: Algebra, Combinatorics, Dynamical Systems and Statistical Physics.
Probability and Applications
Probability is both a fundamental way of viewing the world, and a core area of mathematics. Probability theory is concerned with the analysis of mathematical models of random phenomena, as occur in many branches of science. The group Probability and Applications at QMUL is engaged in numerous research activities, including stochastic processes, statistics, random discrete structures, random matrices and stochastic optimisation, as well as in applications of probability to statistical physics, modelling of epidemics, networks, financial engineering and other areas.
k.hale@qmul.ac.uk | |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | Candidates for the PhD programmes in Mathematics or Statistics should normally have a first or good upper second-class honours BSc in mathematics or statistics, or a more advanced qualification such as MSci, MMath, or MSc. |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
For more information about the School and the research programmes please see School of Mathematical Sciences School's research groups:
Algebra and Number Theory
Combinatorics
Complex Systems and Networks
Dynamical Systems and Statistical Physics
Geometry and Analysis
Probability and Applications
Algebra and Number Theory
The Algebra and Number Theory Group at QMUL has a long and distinguished history, going back to such names as Kurt Hirsch, Karl Gruenberg and Ian G. Macdonald. Having made its reputation primarily in group theory, it now covers a range of areas in group theory, representation theory, number theory, algebraic combinatorics, algebraic geometry, logic, homological/categorical algebra, and computational methods.
Combinatorics
A very active group that works both on topics within combinatorics (especially finite geometry and design theory) and on links with algebra (permutation groups), logic (model theory), information and coding theory, and design of experiments.
Complex Systems and Networks
The Complex Systems and Networks group is interested in the mathematical description and modelling of the architecture and dynamics of complex systems. Its main goal is to understand how a complex system self-organizes and how various collective behaviours emerge when a large number of units or dynamical systems interact through non-trivial networks. It makes use of mathematical tools from graph theory, statistical mechanics and nonlinear dynamics, and large-scale numerical simulations. The group is interested in applications to biology, social systems, and man-made networks, where it address both fundamental problems as well as applied research with some industrial collaborators.
Dynamical Systems and Statistical Physics
The Dynamical Systems and Statistical Physics Group has a broad range of research interests in the area of statistical mechanics as applied to a variety of complex systems, and in the mathematical foundations of dynamical systems theory. Particular emphasis is on non-equilibrium processes, stochastic modelling, ergodic theory, chaotic and nonlinear phenomena, and interdisciplinary applications. The group has numerous collaborations and links with other groups in the department, and with other research groups worldwide.
Geometry and Analysis
The Geometry and Analysis group a vibrant research group with expertise in algebraic, differential and noncommutative geometry, functional and harmonic analysis, mathematical relativity theory, model theory, operator algebras, partial differential equations, quantum algebra and topology. It organises regular seminars throughout the academic year and works closely with other groups in the School of Mathematical Sciences: Algebra, Combinatorics, Dynamical Systems and Statistical Physics.
Probability and Applications
Probability is both a fundamental way of viewing the world, and a core area of mathematics. Probability theory is concerned with the analysis of mathematical models of random phenomena, as occur in many branches of science. The group Probability and Applications at QMUL is engaged in numerous research activities, including stochastic processes, statistics, random discrete structures, random matrices and stochastic optimisation, as well as in applications of probability to statistical physics, modelling of epidemics, networks, financial engineering and other areas.
k.hale@qmul.ac.uk | |
Study type | Research |
Level | RQF Level 8 |
Entry requirements | Candidates for the PhD programmes in Mathematics or Statistics should normally have a first or good upper second-class honours BSc in mathematics or statistics, or a more advanced qualification such as MSci, MMath, or MSc. |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
MSc
Summary
The School of Mathematical Sciences offers a flexible MSc in Mathematics to students who have already done very well in a first degree with high mathematical content. The MSc programme, which starts in late September, is offered full-time over one year or part-time over two.
The modules (lecture courses) offered reflect the research strengths of the School of Mathematical Sciences, and are concentrated in pure mathematics (especially algebra and combinatorics), probability and statistics, dynamical systems, and networks. Students can study mostly pure mathematics, pure and applied mathematics (including, if desired, some astronomy and relativity), or mathematics with statistics. The MSc in Mathematics includes a project dissertation, and can provide excellent preparation for those interested in pursuing research in mathematics or statistics.
Why study with us?
You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
The programme is flexible and it allows you to choose modules in different areas or specialise in one.
As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a recently refurbished IT lab for their use in the School Offices (Queens' building, W307).
We expect to be able to offer on-campus accommodation to all new full-time postgraduate students coming from outside the London area.
Facilities
The Learning Resource centre has 200 networked PCs and is open to students round the clock, there are dedicated workstations for postgraduate students. MSc Mathematics students benefit from access to a large shared office in the Mathematics Building and a dedicated computer network.
You will have access to Queen Mary's comprehensive libraries, including the Postgraduate Reading Room, and The British Library can also be accessed as a research resource. Our library has about 8,000 mathematical books and subscribes to a large number of mathematical journals. There is also access to substantial numbers of electronic journals.
maths@qmul.ac.uk | |
Telephone | +44 (0)20 7882 5440 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/mathematics-msc/ |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
The School of Mathematical Sciences offers a flexible MSc in Mathematics to students who have already done very well in a first degree with high mathematical content. The MSc programme, which starts in late September, is offered full-time over one year or part-time over two.
The modules (lecture courses) offered reflect the research strengths of the School of Mathematical Sciences, and are concentrated in pure mathematics (especially algebra and combinatorics), probability and statistics, dynamical systems, and networks. Students can study mostly pure mathematics, pure and applied mathematics (including, if desired, some astronomy and relativity), or mathematics with statistics. The MSc in Mathematics includes a project dissertation, and can provide excellent preparation for those interested in pursuing research in mathematics or statistics.
Why study with us?
You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
The programme is flexible and it allows you to choose modules in different areas or specialise in one.
As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a recently refurbished IT lab for their use in the School Offices (Queens' building, W307).
We expect to be able to offer on-campus accommodation to all new full-time postgraduate students coming from outside the London area.
Facilities
The Learning Resource centre has 200 networked PCs and is open to students round the clock, there are dedicated workstations for postgraduate students. MSc Mathematics students benefit from access to a large shared office in the Mathematics Building and a dedicated computer network.
You will have access to Queen Mary's comprehensive libraries, including the Postgraduate Reading Room, and The British Library can also be accessed as a research resource. Our library has about 8,000 mathematical books and subscribes to a large number of mathematical journals. There is also access to substantial numbers of electronic journals.
maths@qmul.ac.uk | |
Telephone | +44 (0)20 7882 5440 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/mathematics-msc/ |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
The School of Mathematical Sciences offers a flexible MSc in Mathematics to students who have already done very well in a first degree with high mathematical content. The MSc programme, which starts in late September, is offered full-time over one year or part-time over two.
The modules (lecture courses) offered reflect the research strengths of the School of Mathematical Sciences, and are concentrated in pure mathematics (especially algebra and combinatorics), probability and statistics, dynamical systems, and networks. Students can study mostly pure mathematics, pure and applied mathematics (including, if desired, some astronomy and relativity), or mathematics with statistics. The MSc in Mathematics includes a project dissertation, and can provide excellent preparation for those interested in pursuing research in mathematics or statistics.
Why study with us?
You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
The programme is flexible and it allows you to choose modules in different areas or specialise in one.
As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a recently refurbished IT lab for their use in the School Offices (Queens' building, W307).
We expect to be able to offer on-campus accommodation to all new full-time postgraduate students coming from outside the London area.
Facilities
The Learning Resource centre has 200 networked PCs and is open to students round the clock, there are dedicated workstations for postgraduate students. MSc Mathematics students benefit from access to a large shared office in the Mathematics Building and a dedicated computer network.
You will have access to Queen Mary's comprehensive libraries, including the Postgraduate Reading Room, and The British Library can also be accessed as a research resource. Our library has about 8,000 mathematical books and subscribes to a large number of mathematical journals. There is also access to substantial numbers of electronic journals.
maths@qmul.ac.uk | |
Telephone | +44 (0)20 7882 5440 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/mathematics-msc/ |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
The School of Mathematical Sciences offers a flexible MSc in Mathematics to students who have already done very well in a first degree with high mathematical content. The MSc programme, which starts in late September, is offered full-time over one year or part-time over two.
The modules (lecture courses) offered reflect the research strengths of the School of Mathematical Sciences, and are concentrated in pure mathematics (especially algebra and combinatorics), probability and statistics, dynamical systems, and networks. Students can study mostly pure mathematics, pure and applied mathematics (including, if desired, some astronomy and relativity), or mathematics with statistics. The MSc in Mathematics includes a project dissertation, and can provide excellent preparation for those interested in pursuing research in mathematics or statistics.
Why study with us?
You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
The programme is flexible and it allows you to choose modules in different areas or specialise in one.
As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a recently refurbished IT lab for their use in the School Offices (Queens' building, W307).
We expect to be able to offer on-campus accommodation to all new full-time postgraduate students coming from outside the London area.
Facilities
The Learning Resource centre has 200 networked PCs and is open to students round the clock, there are dedicated workstations for postgraduate students. MSc Mathematics students benefit from access to a large shared office in the Mathematics Building and a dedicated computer network.
You will have access to Queen Mary's comprehensive libraries, including the Postgraduate Reading Room, and The British Library can also be accessed as a research resource. Our library has about 8,000 mathematical books and subscribes to a large number of mathematical journals. There is also access to substantial numbers of electronic journals.
maths@qmul.ac.uk | |
Telephone | +44 (0)20 7882 5440 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/mathematics-msc/ |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
The School of Mathematical Sciences offers a flexible MSc in Mathematics to students who have already done very well in a first degree with high mathematical content. The MSc programme, which starts in late September, is offered full-time over one year or part-time over two.
The modules (lecture courses) offered reflect the research strengths of the School of Mathematical Sciences, and are concentrated in pure mathematics (especially algebra and combinatorics), probability and statistics, dynamical systems, and networks. Students can study mostly pure mathematics, pure and applied mathematics (including, if desired, some astronomy and relativity), or mathematics with statistics. The MSc in Mathematics includes a project dissertation, and can provide excellent preparation for those interested in pursuing research in mathematics or statistics.
Why study with us?
You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
The programme is flexible and it allows you to choose modules in different areas or specialise in one.
As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a recently refurbished IT lab for their use in the School Offices (Queens' building, W307).
We expect to be able to offer on-campus accommodation to all new full-time postgraduate students coming from outside the London area.
Facilities
The Learning Resource centre has 200 networked PCs and is open to students round the clock, there are dedicated workstations for postgraduate students. MSc Mathematics students benefit from access to a large shared office in the Mathematics Building and a dedicated computer network.
You will have access to Queen Mary's comprehensive libraries, including the Postgraduate Reading Room, and The British Library can also be accessed as a research resource. Our library has about 8,000 mathematical books and subscribes to a large number of mathematical journals. There is also access to substantial numbers of electronic journals.
maths@qmul.ac.uk | |
Telephone | +44 (0)20 7882 5440 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/mathematics-msc/ |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Summary
The School of Mathematical Sciences offers a flexible MSc in Mathematics to students who have already done very well in a first degree with high mathematical content. The MSc programme, which starts in late September, is offered full-time over one year or part-time over two.
The modules (lecture courses) offered reflect the research strengths of the School of Mathematical Sciences, and are concentrated in pure mathematics (especially algebra and combinatorics), probability and statistics, dynamical systems, and networks. Students can study mostly pure mathematics, pure and applied mathematics (including, if desired, some astronomy and relativity), or mathematics with statistics. The MSc in Mathematics includes a project dissertation, and can provide excellent preparation for those interested in pursuing research in mathematics or statistics.
Why study with us?
You will be taught by helpful, enthusiastic academic staff who are world-experts in their fields.
The programme is flexible and it allows you to choose modules in different areas or specialise in one.
As well as access to the extensive Queen Mary Library resources, MSc Mathematics students enjoy a recently refurbished IT lab for their use in the School Offices (Queens' building, W307).
We expect to be able to offer on-campus accommodation to all new full-time postgraduate students coming from outside the London area.
Facilities
The Learning Resource centre has 200 networked PCs and is open to students round the clock, there are dedicated workstations for postgraduate students. MSc Mathematics students benefit from access to a large shared office in the Mathematics Building and a dedicated computer network.
You will have access to Queen Mary's comprehensive libraries, including the Postgraduate Reading Room, and The British Library can also be accessed as a research resource. Our library has about 8,000 mathematical books and subscribes to a large number of mathematical journals. There is also access to substantial numbers of electronic journals.
maths@qmul.ac.uk | |
Telephone | +44 (0)20 7882 5440 |
Study type | Taught |
Level | RQF Level 7 |
Entry requirements | https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/mathematics-msc/ |
Location | Mile End Mile End Road Tower Hamlets E1 4NS |
Queen Mary University of London
Queen Mary University of London was established in 1785 and is a leading research-intensive university with a difference – one that opens the doors of opportunity to anyone and supporting students to succeed.
With schools split across five campuses in central and east London, students are able to select from an exceptionally broad range of subjects across three main faculties, including the Faculty of Humanities and Social Sciences, Faculty of Science and Engineering, and Faculty of Medicine and Dentistry.
Facts
- Queen Mary is a member of the Russell Group of universities in the UK, which …
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