First class or upper second class degree in a suitable quantitative discipline, such as mathematics, physics, computer science, or engineering. A sound background in basic mathematics, in particular a familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory, will be assumed.
Months of entry
Course contentFor 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 course 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.
Information for international students
For those students whose first language is not English, please view our English language requirements: http://www.kcl.ac.uk/graduate/apply/lang.html
Fees and fundingSelf-funded
Qualification and course duration
Course contact details
- Admissions Officer, Centre for Arts & Science Admissions (CASA)
- +44 (0) 20 7848 2574 / 7210
- +44 (0) 20 7848 7200