For graduates in mathematics, or in other suitable scientific disciplines with a strong background in mathematics, who want to work in research and development in an academic or industrial environment. The programme aims to develop a knowledge and understanding of complex systems modelling and their uses, and to enable students to use mathematical techniques to quantify, predict and improve such systems.
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 a wide range of modules including:
- Theory of Complex Networks
- Equilibrium Analysis of Complex Systems
- Dynamical Analysis of Complex Systems
- Mathematical Biology
- Elements of Statistical Learning
- Applied Probability & Stochastics
- Statistics in Finance
- Risk in Finance
- Algorithms Design and Analysis
- Algorithms for Computational Molecular Biology
- Statistics for Bioinformatics
- Bio- and Nanomaterials in the Virtual Lab.
You must also complete a project in a relevant area after passing the written examinations. This can be carried out and supervised in the department or in appropriate academic or industrial institutions outside the College.
Dr Isaac Perez Castillo
King's College London
Credit value (UK/ECTS equivalent)
UK 180/ECTS 90
One year FT, two years PT, September to September.
Our graduates are highly sought after: the applicability of complex systems modelling to areas as diverse as biomedical, natural, economic and social sciences, results in a broad range of opportunities. Some graduates are employed by the companies or laboratories that supervise their MSc research projects, or continue to PhD study.
Year of entry 2013