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

King’s College London

Master

In London

Price on request

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Description

  • Type

    Master

  • Location

    London

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.
The course information sheet is a printable version of the information on this web page, which you can download here.

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.

Facilities

Location

Start date

London
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Strand, WC2R 2LS

Start date

On request

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Subjects

  • Simulation
  • Systems

Course programme

Year 1 Required Modules

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest that you keep an eye on the course finder on our website for update.

Courses are divided into modules. Each year you are required to take modules totalling 180 credits

  • Research Methods for Theoretical Modelling of Non-Equilibrium Systems (30 credits)
  • Research Methods for Simulation of Non-Equilibrium Systems (30 credits)
  • Research Methods for Data-Driven Analysis of Non-Equilibrium Systems (30 credits)

Students can also take:

  • Foundations for CSM and CANES (0 credits)
Optional Modules

Students will also choose modules totalling 75 credits from a range that may typically include:

  • Dynamical Modelling of Non-Equilibrium Systems (15 credits)
  • Simulation Methods for Non-Equilibrium Systems (15 credits)
  • Statistical Learning and Data-Driven Analysis (15 credits)
  • Advanced Topics in Non-Equilibrium Systems (15 credits)
  • Modelling Quantum Many-body Systems (15 credits)
  • Rare Events and Large Deviations (15 credits)

Students choose modules to bring their total to 180 credits from a range that may include:

  • Mathematical Biology (15 credits)
  • Interest Rate and Foreign Exchange Dynamics (15 credits)
  • Nonlinear Analysis (15 credits)
  • Advanced Quantum Field Theory (15 credits)
  • Modelling Environmental Change at the Land Surface (20 credits)
  • Pattern Recognition (15 credits)
  • Biologically Inspired Methods (15 credits)
  • Molecular Biophysics (15 credits)

See related categories

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

Price on request

The best Analysis and Development courses

See all

See all