|Location||United Kingdom, London (Greenwich Campus)|
|Type||Master courses, full-time|
|Nominal duration||1 year|
|Tuition fee||£11,700.00 per year|
Undergraduate diploma (or higher)
Those who have established commercial or industrial experience in a relevant field can be accepted, subject to interview, references, and recommendation from the programme committee.
IELTS with a minimum of 5.5 in each skill or equivalent english test (CAE)
At least 2 reference(s) must be provided.
A motivation letter must be added to your application.
This programme is designed for graduates in mathematics, engineering, or science with excellent numeracy skills, wishing to pursue careers in the application of mathematics, in traditional areas such as engineering and science and in service areas such as finance and banking, where knowledge of modern applications of mathematics would be advantageous. The philosophy of the programmes is to equip students both with mathematics and its applications and with high-level scientific software and associated numerical skills.
This programme is suitable both for fresh graduates and also for experienced professional practitioners who wish to further their skills. The programme core modules cover modern mathematical skills together with applications across different industries, and there are optional professional modules directly related to research expertise within the School. This ensures that students have an advanced understanding of both theory and practice in their selected specialist areas. Students will gain knowledge of mathematical skills and applications, computational skills, and relevant professional experience, related to traditional engineering and science modelling, modern enterprise applications, finance, and service industries. They will gain an understanding of emerging applications. There will be hands-on training in various development tools and in the use of computational software related to their professional direction.
Individual Project (60 credits)
Mathematics and its Applications (30 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Two to four options from: Inverse Problems (15); Mathematics of Complex Systems (15); Reliability and Optimisation (15); Scientific Software Design and Development(15); Enterprise Software Engineering Development (15); User Centred Web Engineering (15); User Centred Web Engineering; Advanced Algorithms (15); E-Business Strategy (15); Actuarial Mathematics (15); Financial Econometrics (15); Principles and Practice of Evacuation Modelling (30); Principles and Practice of Fire Modelling (30) (60 credits)
Upon successful completion of this Master’s programme students should be proficient in applying mathematics to problems arising in industrial sectors such as reliability engineering, risk management, finance, complex systems and fire safety.