Taught course

Complex Systems Modelling - from Biomedical and Natural to Economic and Social Sciences

Institution
King's College London · Department of Mathematics
Qualifications
MSc

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Entry requirements

Bachelors degree with 2:1 honours degree in a suitable quantitative discipline, such as mathematics, physics, computer science, or engineering. A sound background in basic mathematics, in particular a familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory, will be assumed. In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.

A 2:2 honours degree (or international equivalent) may be acceptable depending on the candidate's academic background.

Months of entry

September

Course content

Complex Systems Modelling MSc – from Biomedical & Natural to Economic & Social Sciences course will teach you to apply mathematical techniques in the rapidly developing and exciting interdisciplinary field of complex systems and examine how they apply to a variety of areas including biomedicine, nature, economics and social sciences. This research-led course is suitable for graduates who wish to work in research and development in an academic or industrial environment.

Key benefits

  • Top 10 in the UK for Mathematics (QS World Rankings by subject 2020).
  • Located in the heart of London, giving unparalleled access to research facilities.
  • You will be studying innovative modules covering modern theories of complex systems modelling.
  • Research-led study course taught by staff who are recognised leaders in their field.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions Officer
Email
admissions@kcl.ac.uk