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

King's College London

Postgraduate

In London

£ 9,900 VAT inc.

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Description

  • Type

    Postgraduate

  • Location

    London

  • Duration

    1 Year

  • Start date

    Different dates available

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.

Facilities

Location

Start date

London
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Start date

Different dates availableEnrolment now open

About this course

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.

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

You should hold or expect to gain a Bachelor’s degree with 2:1 degree 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.

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Subjects

  • Simulation
  • Systems
  • Theoretical
  • Modelling
  • Methods for Simulation
  • Research methods
  • Analysis
  • CSM
  • CANES
  • Dynamical

Course programme

Structure

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)

Additional information

Full time overseas fees: £19,320 standalone MSc (2019/20)

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

£ 9,900 VAT inc.

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