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CANES MSc Programme

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

Programme information and structure for MSc Non-Equilibrium Systems: Theoretical Modelling, Simulation and Data-Driven Analysis 

Programme specification 

Programme Director (2017-18): Dr Chris Lorenz

Assessment Sub-Board Chair: Dr Pierpaolo Vivo

Senior Tutor and Programme Advisor: Dr Chris Lorenz 

Full-time students need to take 6 lecture course modules (90 credits) and 3 research methods modules (90 credits). 

Of the 6 lecture course modules, 5 are compulsory, including a choice between 7CCPNE05 and 7CCMNE06 (see below), and 1 is optional. The choice of optional module needs to be made in consultation with the Programme Director, and is subject to his approval. The research modules are core modules.

Additional modules can be taken with approval of the Programme Advisor, up to a maximum of 210 credits overall for the programme.

Core modules: must be taken and passed 

Compulsory modules: must be taken 

First Semester (60 credits):

Compulsory Modules*:

7CCMNE01 Dynamical Modelling of Non-Equilibrium Systems, 15 credits 

7CCPNE02 Simulation Methods for Non-Equilibrium Systems, 15 credits 

7CCMNE03 Statistical Learning and Data-Driven Analysis, 15 credits 

Compulsory Modules* (select one): 

You are required to attend the lectures for both of these modules, but should enrol for, and sit the examination in, only one of them. 

7CCPNE05 Modelling Quantum Many-body Systems, 15 credits 

7CCMNE06 Rare Events and Large Deviations, 15 credits

*The above 5 modules are effectively compulsory but not formally so; therefore, if you have previously taken a module with essentially equivalent content, you may be permitted to select an alternative level 7 module subject to approval from the Programme Advisor.

Recommended Module

7CCMCS00 Foundation for CSM and CANES, no credits

 

Second Semester and Summer (120 credits):

Core Modules:

7CCMNE07 Research Methods for Theoretical Modelling of Non-Equilibrium Systems, 30 credits 

7CCMNE08 Research Methods for Simulation of Non-Equilibrium Systems, 30 credits 

7CCMNE09 Research Methods for Data-Driven Analysis of Non-Equilibrium Systems, 30 credits 

Compulsory Module:

7CCMNE04 Advanced Topics in Non-Equilibrium Systems, 15 credits 

Optional Module:

All students must select an optional module in the second semester that provides 15 credits or more.

Possible options include:

7CCMCS05T Mathematical Biology, 15 credits 

7CCMFM07 Interest Rate and Foreign Exchange Dynamics, 15 credits

7CCMFM09, Risk in Finance, 15 credits

7CCMMS22 Nonlinear Analysis, 15 credits

7CCMMS43T Advanced Quantum Field Theory, 15 credits 

7SSG5031 Modelling Environmental Change at the Land Surface, 20 credits

7CCSMBIM Biologically Inspired Methods, 15 credits

7CCSMPNN Pattern Recognition, 15 credits

7XA1M800 Molecular Biophysics (UCL), 15 credits

Alternatively with approval of the Programme Advisor, the optional module may be selected from among all level 6 or 7 modules within the departments of Mathematics, Physics, Informatics, Geography, and Chemistry.  Modules from other departments and from elsewhere at the University of London and at Imperial College London can also be considered if there are good reasons.

For further information on possible optional modules please view the following departmental sites:

Maths

Physics

Informatics

Chemistry: only level 6 modules

Geography: for module information refer to the masters module handbook

Intercollegiate Modules 2017/18

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