Applicable Mathematics, MSc

Applicable Mathematics, MSc

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.

Department

Mathematical Sciences

Location

Greenwich Campus

Attendance

1 year full-time
2 years part-time
Block release according to circumstances.

Entry requirements

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.

Assessment

100% coursework: a supervised thesis project (during the summer months).

Career options

Our graduates are equipped with the tools to involve in many engineering applications and computational engineering sectors such as reliability engineering, risk management, complex engineering systems, fire safety and finance. Our expert seminar series gives you the opportunity to interact with leading figures from industry and academia and undertake projects of current industry practice. A postgraduate qualification is a major achievement and a milestone in your specialised career path leading to a professional career. The Department also offers a PhD programme which trains highly skilled candidates towards research careers in academia and industry. Our current collaborations for our PhD candidates lie with the STRIKE project for mathematical and computational applications.

Course content

Full time

Year 1

Option Set 1

Students are required to study the following compulsory courses.

Students are required to choose 60 credits from this list of options.

Option Set 2

Students are required to study the following compulsory courses.

Students are also required to choose 60 credits from this list of options.

Option Set 3

Students are required to study the following compulsory courses.

Students are also required to choose 45 credits from this list of options.

Students are also required to choose 15 credits from this list of options.

Part time

Year 1

Students are required to study the following compulsory courses.

Year 2

Students are required to study the following compulsory courses.

Students are required to choose 15 credits from this list of options.

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Find out more about our fees and the support available to you at our:

Projects

  • P 2-Dimensional Simulation of an Enthalpy Based Method of Equiaxed Dendritic Growth in a Pure Undercooled Melt with Flow and Thermoelectricity
  • Investigation of the Heat Transfer Across the Flux in the Mould Region of a Continuous Steel Caster
  • Implementation of a Three Dimensional Structured Solver in Physica with a Cell Centred Regular Cuboid Mesh
  • Simulation of Magnetohydrodynamic Duct Flow in Smoothed Particle Hydrodynamics
  • The Instrumentation & Effects of Fluidic Oscillators

Research Seminar within the Department of Mathematical Sciences

Related programmes you may also be interested in