Modern societies rely on a wide range of infrastructures, institutions and technologies whose complexity has grown dramatically in the recent past. Consequently there is an ever-growing demand for expertise in complex systems modelling as a prerequisite to understanding, maintaining and further developing such systems.

The MSc in Complex Systems Modelling is a taught programme with a significant research component in the rapidly developing and exciting interdisciplinary field of Complex Systems. It covers scientific areas ranging from Biomedical and Natural to Economic and Social Sciences, and consists of 8 taught modules plus a three-month research project.

The following modules are compulsory:

Theory of Complex Networks Research Methods and Advanced Topics in Complex Systems

Students then choose in addition from a list of optional modules, currently:

Equilibrium Analysis of Complex Systems Dynamical Analysis of Complex Systems Mathematical Biology Elements of Statistical Learning Applied Probability & Stochastics Distribution Theory Portfolio Risk Management Algorithms Design and Analysis Algorithms for Computational Molecular Biology Statistics for Bioinformatics Bio- and Nanomaterials in the Virtual Lab

Each MSc candidate must also complete, after passing the written examinations, a project in a relevant area of Complex Systems Modelling at the postgraduate level

The MSc is based at the Department of Mathematics on King's Strand campus, which provides dedicated study space for MSc students. King's College London is one of the top 25 universities in the world (THE 2009) and the fourth oldest in England. It has an outstanding reputation for providing world-class teaching and cutting-edge research. A multi-faculty institution, King's was rated excellent for student educational experience by the Quality Assurance Agency.

Further information about the MSc in Complex Systems Modelling can be found at http://www.kcl.ac.uk/schools/pse/maths/research/dissys/msc.html Interested candidates should contact the Programme Director, Dr Isaac Perez Castillo (isaac.perez_castillo@kcl.ac.uk) in the first instance.