Mathematics of Networks MSc Queen Mary University of London

The aim of this programme is to capitalise on the current relevance and impact of network theory locally and nationwide. This is a very active and rapidly evolving research field which stands at the crossroads of graph theory, complex systems and data analysis. It mainly addresses the mathematical description and modelling of the architecture and dynamics of complex systems (systems composed by many interacting units that show collective behaviour). Mathematics of Networks will provide a thorough grounding in the core principles of mathematics and mathematical modelling as applied to networks, along with the principal analytical and numerical methodologies.

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This  specialist masters programme aims at providing graduate students and professionals with a rigorous training in the mathematics applied to the analysis and modelling of complex networks and networked systems, complemented with training in computing, numerical simulations and massive data analysis. It is aimed at those with an undergraduate degree in mathematics or a related discipline such as physics, computer science or engineering who wish to enter a career involving analysis and optimisation of diverse networked systems.

Aims

The aim of this programme is to capitalise on the current relevance and impact of network theory locally and nationwide. This is a very active and rapidly evolving research field which stands at the crossroads of graph theory, complex systems and data analysis. It mainly addresses the mathematical description and modelling of the architecture and dynamics of complex systems (systems composed by many interacting units that show collective behaviour).

QMUL offers a range of scholarships and bursaries. Please visit the area Postgraduate - Funding & Support of our website for up-to-date information
Cost of the master: Not declared
Scholarships available
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        Mathematics of Networks MSc

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                  Provenance Students Worldwide:
                  Detail of origin:
                  Europe
                  30%
                  10%
                  25%
                  25%
                  10%
                  United Kingdom
                  15%
                  60%
                  5%
                  %
                  20%
                  Gender:
                  45%
                  55%
                  Job Experience:
                  YES60%
                  NO40%
                  Age of participants:
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                    60%
                  • 26 - 30

                    25%
                  • 31 - 35

                    10%
                  • Over 35

                    5%
                  Total:
                  1370
                  Foreigners:
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                  Profession Teaching Staff:
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                  University professors
                  85%
                  Researchers/lecturers/visiting professors
                  10%
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