Applicants should have: Honours degree at 2.1 or equivalent in mathematics, physics, engineering, or a relevant discipline with substantial amount of mathematical and numeracy content. • Those who have substantial commercial or industrial experience in a relevant field can be accepted, subject to interview, references, and recommendation from the programme committee. • For applicants whose first language is not English, the minimum level of English is an IELTS score of 6.
Months of entry
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 core philosophy of the programme is to equip students both with mathematics and its applications and with high-level scientific software and associated numerical skills. The Greenwich campus, near the financial district of Canary Wharf, enables the department to build ties with many modern engineering and applied mathematics practitioners enabling our students to become part of a wider group. The Leslie Comrie seminar series, inviting both academics and industrialists, allows you to interact with our external links creating an advantageous learning experience. We provide you the grounds for building a high profile of understanding of current research practices in the industry. Our classes contain interactive applications that enhance the learning experience by innovative teaching practices. Utilising research expertise within the department you will graduate with a strong understanding of numerical methods. You will also develop an understanding for further applicability in various fields of applied mathematics and engineering.
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 Faculty. 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. Assessment takes the form of 100% coursework, based on applications of current market practices. A supervised thesis project takes place at the end of the last teaching term during the summer months. Projects are allocated in March and students are invited to undertake a project that provides genuine insight in an area of the research interests within the department. The programme is also available on a part-time basis.
- Mathematics and its Applications (30 credits)
- Mathematical Approaches to Risk Management (15 credits)
- Inverse Problems (15 credits)
- Mathematics of Complex Systems (15 credits)
- Reliability and Optimisation (15 credits)
- Computational Methods (15 credits)
- Scientific Software Design and Development (15 credits)
- Individual Project (Dissertation) (60 credits)
Qualification and course duration
Course contact details
- Course Enquiries
- 020 8331 9000