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

Course content

Non-equilibrium processes underpin many challenging problems across the natural sciences. The mission of the Non-Equilibrium Systems: Theoretical Modelling, Simulation and Data-Driven Analysis MSc is to provide students an insight into cross-disciplinary approaches to non-equilibrium systems, focussing on the three key strands of theoretical modelling, simulation and data-driven analysis. It draws on a broad range of expertise in Mathematics, Physics, Chemistry, Informatics, Computational and Systems Biomedicine, Earth and Environmental Sciences at King’s College London. This course is an ideal study pathway for graduates who wish to work in research and development in an academic or industrial environment. 

Key benefits

  • Located in the heart of London, giving unparalleled access to research facilities.
  • You will be studying innovative modules covering Non-Equilibrium Systems.
  • Research-led study programme taught by staff who are recognised leaders in their field.
  • We offer a friendly and supportive learning environment with small class sizes.

Description

The Non-Equilibrium Systems: Theoretical Modelling, Simulation and Data-Driven Analysis MSc programme aims to provide you with deeper insights into non-equilibrium processes using theoretical modelling, simulation and data-driven analysis and prepare you for roles within active research.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits. The broad range of optional modules will allow you to develop a study pathway that reflect your interests.

We also offer the opportunity to explore an additional zero-credit module called Foundations for CSM and CANES, designed as a refresher module covering vital mathematics and physics skills. 

For more information visit http://www.kcl.ac.uk/innovation/groups/noneqsys/Handbook/MSc%20Handbook/CANES-MSc-Programme/CANES-MSc.aspx

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

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Each module in your degree is worth a number of credits. You are expected to spend approximately 10 hours of effort for each credit (so for a typical module of 15 credits this means 150 hours of effort). These hours cover every aspect of the module: lectures, tutorials, labs (if any), independent study based on lecture notes, tutorial preparation and extension, coursework preparation and submission, examination revision and preparation, and examination.

Assessment

Assessment methods will depend on the modules selected. The primary methods of assessment for this course are written examinations and coursework. You may also be assessed by reports, problem sets and oral presentations.

Career prospects

Leads to PhD study or careers in teaching, industrial research or the financial sector.

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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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