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Non-Equilibrium Systems: Theoretical Modelling, Simulation and Data-Driven Analysis MSc


Course Description

The programme consists of a wide range of modules and three research projects and aims to develop deeper insights into non-equilibrium processes using theoretical modelling, simulation and data-driven analysis. Leads to PhD study or careers in teaching, industrial research or the financial sector.

Key benefits

- An intensive course covering a wide range of basic and advanced topics on Non-Equilibrium Systems.

- Taught by experts in the field.

- A full twelve-month course with three research methods modules to give a real introduction to research.

- Intimate class environment with small class sizes (typically fewer than twenty students on a module) allowing good student lecturer interactions.

- Unrivalled location at the centre of London.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/non-equilibrium-systems-theoretical-modelling-simulation-and-data-driven-analysis-msc.aspx

Course detail

- Description -

The ultimate goal of the programme is to address interdisciplinary challenges e.g. How do we characterize, design and grow materials, and devices, with novel properties out of equilibrium? How do we control and exploit the stochastic processes inherent to biological systems? Can we use inference and information assimilation approaches from physics and biology to monitor and evaluate the state and direction of non-equilibrium environmental systems?

The programme consists of a wide range of taught modules and 3 research methods modules in the rapidly developing and exciting interdisciplinary field of Non-Equilibrium Systems. It covers scientific areas ranging from mathematics, physics, informatics and chemistry to biomedical and environmental sciences.

- Course purpose -

For graduates with excellent undergraduate or equivalent qualifications in any relevant discipline (including; mathematics, physics, chemistry, engineering, materials science, biophysics, geophysical sciences and computer science) who want to work in research and development in an academic or industrial environment. The programme aim is to develop deeper insights into non-equilibrium processes using theoretical modelling, simulation and data-driven analysis and prepare students ideally for active research.

- Course format and assessment -

The format and assessment of the MSc programme is primarily written examinations, some with coursework element, in six lecture modules, plus oral presentations and assessed report on three research modules.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

Visit the Non-Equilibrium Systems: Theoretical Modelling, Simulation and Data-Driven Analysis MSc page on the King’s College London website for more details!



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Entry Requirements

You should hold or expect to gain a Bachelor’s degree with First class honours degree (or international equivalent) in a suitable quantitative discipline, such as mathematics, physics, computer science, or engineering. A strong background in quantitative science will be essential for students to take full advantage of the CANES training programme. Visit our admissions webpages to view our English language entry requirements: View Website

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Recipient: King’s College London

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