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Overview
Our MSc in Complex Systems and Data Modelling will teach you advanced mathematical techniques in the rapidly evolving, interdisciplinary field of complex systems, equipping you to apply them across a range of real-world contexts in biomedicine, natural sciences, economics, and social sciences. Complex systems use diverse mathematical methods to model and predict phenomena in the world around us, including neural networks, ecosystems, climate change, and financial markets.
Designed for graduates and professionals with a quantitative background, this research-led course provides you with mathematical skills that are in high demand for a wide range of careers, including in business and finance, health and pharmaceuticals, machine learning, or research.
Key benefits
- Top 10 in the UK for Mathematics (QS World Rankings by subject 2025).
- Innovative course covering emerging fields in complex systems modelling, including the option to take modules from courses in Physics and Computer Science.
- Excellent one-to-one support with at least one hour weekly supervision with an expert for your master’s project.
- The Department of Mathematics is a leading centre of research, with 100 percent of research classed as world-leading or internationally excellent (REF 2021).
- Hear the latest research from leading experts around the world via our bespoke lecture series for Complex Systems students.
- Taught by staff who are internationally recognised leaders in their field, conducting major research grants and participating in preeminent international collaborations.
- King’s Disordered Systems group is a globally renowned hub for leading experts in complex systems, and hosts regular events, advanced lectures and one day conferences with top researchers in the field.
I wanted to learn how to apply mathematics to some of the characteristic problems of the 21st century, and the course didn't disappoint.
AndrewComplex Systems Modelling MSc
Course essentials
Complex Systems are phenomena with many interacting parts that are difficult to model and predict. This includes everything from natural systems like flocks of birds and the Earth’s climate to man-made systems like road traffic, financial markets, and neural networks. Using mathematical and data analysis tools, we can examine the rules governing these individual parts to simulate and predict the behavior of the whole system – answering fundamental questions about our world and universe.
King's is a world-leading centre for complex and disordered systems, and one of the first to establish a research group dedicated to this field. Our critical mass of experts are at the forefront of pioneering innovations in this exciting field. By studying our comprehensive and flexible Complex Systems and Data Modelling MSc, you will become part of this rapidly developing interdisciplinary field.
The course will equip you with core skills in advanced research methods and the tools for performing wide-ranging investigations, from mathematical modelling of complex and unpredictable phenomena to analysing data related to these systems. You will then have a choice of focusing on two study pathways, either looking at mathematical modelling of systems (Systems Pathway) or on modelling and analysing complex data (Data Science pathway). In addition, the wide range of optional modules give you the chance to specialise or develop your knowledge across different application areas including medicine, engineering, economics and machine learning.
Our advanced research methods module includes lectures from renowned external researchers on their latest work. You'll write papers about their research and present your findings at a mini-conference, which will prepare you for your Master's project and hone your communication and presentation skills.
At the end of your degree, you’ll spend three months exploring an original research problem. This could be anything from economics and finance to health and biological systems to quantum technologies to neural networks. You’ll benefit from weekly or more frequent one-to-one hourly meetings with your supervisor. Some of our students end up publishing their research in a journal and even presenting it at conferences.
Key Information
Course type:
Master's
Delivery mode:
In person
Study mode:
Full time / Part time
Duration:
1 year full-time, 2 years part-time
Credit value:
UK 180/ECTS 90
Application status:
Open
Start date:
September 2026
Administrative bodies
Regulating body
Application closing date guidance
Base campus