Complex Systems Modelling - from Biomedical & Natural to Economic & Social Sciences

Course detail Description

The Complex Systems Modelling MSc is an innovative study course that explores the latest research in the rapidly developing and exciting interdisciplinary field of complex systems.

Modern societies rely on a broad range of infrastructures, institutions and technologies, and their complexities have grown dramatically in the recent past. Consequently, there is a rapidly expanding demand for expertise in complex systems modelling as a foundation for understanding, maintaining and further developing such systems.

The course offers you the choice to study either full or part-time. You must take a combination of required and optional modules totalling 180 credits to complete the course. If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your course will take two years to complete. You will study the required modules and some optional modules in the first year, and a further selection of required and optional modules including the complex systems modelling project in your second year.

You will learn advanced mathematical tools which allow you to study complex systems as emerging in natural, biomedical, economic and social sciences. We also offer the opportunity to study an additional zero-credit module called Foundations for Complex Systems Modelling & Cross-disciplinary Approaches to Non- equilibrium Systems which is designed as a refresher module covering vital mathematics and physics skills.

Teaching

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

You are expected to spend approximately 10 hours work per credit for each module you attend in your degree, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module: lectures, tutorials, independent study, coursework and preparation for examinations.

During your work on the MSc Project you will have regular meetings with your project supervisor, but you are expected to spend the majority of your time in self-study to complete the project work.

The primary method of assessment for this degree is written examination. You may also be assessed by essays, practical examination, oral presentation, reports, class tests and projects. The nature of assessment varies by module.

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Structure

Year 1

Courses are divided into modules. You will normally take modules totalling 180 credits.

You are required to take:

• Theory of Complex Networks (15 credits)
• Research Methods & Advanced Topics in Complex Systems (15 credits)
• Equilibrium Analysis of Complex Systems (15 credits)
• MSc Complex Systems Modelling Project (60 credits)

• Foundations for Complex Systems Modelling & Cross-Disciplinary Approaches to Non- Equilibrium Systems (0 credits)

In addition, you are required to take at least two of the following modules:

• Dynamical Analysis of Complex Systems (15 credits)
• Mathematical Biology (15 credits)
• Elements of Statistical Learning (15 credits)

And at most 45 credits from a range of optional modules, which may typically include:

• Algorithms for Computational Molecular Biology (15 credit)
• Algorithms Design & Analysis (15 credits)
• Bio- & Nanomaterials in the Virtual Lab (15 credits)
• Nonlinear Analysis (15 credits)
• Mathematical Methods for Theoretical Physics (15 credits)
• Pattern Recognition (15 credits)
• Advanced Topics in Nonequilibrium Systems (15 credits)
• Modelling Quantum Many-body Systems (15 credits)
• Rare Events & Large Deviations (15 credits)
• Probability Theory (15 credits)
• Risk-Neutral Valuation (15 credits)
• Financial Markets (15 credits)
• Stochastic Analysis (15 credits)
• Statistics in Finance (15 credits)
• Numerical & Computational Methods in Finance (15 credits)
• Interest Rates & Credit Risk (15 credits)
• Recent Topics in Financial Mathematics (15 credits)
• Financial Markets (15 credits)
• Stochastic Analysis (15 credits)
• Statistics in Finance (15 credits)
• Numerical & Computational Methods in Finance (15 credits)
• Interest Rates & Credit Risk (15 credits)
• Recent Topics in Financial Mathematics (15 credits)
• Incomplete Markets (15 credits)
• C++ for Financial Mathematics (15 credits)
• Exotic Derivatives (15 credits)
• Machine Learning (15 credits)
• Econophysics (15 credits)

Students taking the part time course should aim to take four modules in each year. The project is taken in the second year.

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 updates.