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Who is Eligible? Applications are welcome from people with: A first degree (minimum second class honours) from a recognised university in a numerate subject such as Mathematics, Operational Research, Statistics, Management Science, Economics, Engineering, Computer Science, Geography or a suitable Science degree.   A good level of English language, in written, oral, reading and listening (applicants whose native language is not English will normally require an IELTS score of 6.5 (no less than 5.5 in any category) or an internet based TOEFL score of 90 with no less than 17 in Listening, 20 in Speaking, 18 in Reading and 17 in Writing). Willingness to engage with staff and students for mutual benefits. Motivation to establish or accelerate a career in Operational Research and Statistics. We recognise that appropriate work experience is an important component in deciding on an applicant’s suitability, and so this will be taken into account with particular emphasis given to experience directly relevant to the programmes of study. How to Apply To apply, please follow the link below to the University application pages. If you wish to be considered for studentships then you must state this on the application form (in the section where you say how you will fund your studies). We will then contact you and may invite you to visit the School and discuss your application with a member of staff before making a decision on whether to offer you a studentship. Please note that studentships are only available to full-time UK/EU students.

By adopting an efficient modular approach to teaching, part-time students will only need to be in the University for lectures and workshops for typically one day per week during semester time (on occasions may be at most 1.5 days), and complete the taught component of the programme over two years with up to a further year to complete the project dissertation. Part-time students should however recognise that in addition to this contact time within the University, they will be expected to allocate an appropriate amount of time for self-study (exercises, assignments and exam preparation), something in the region 14 hours per week averaged out over the course of a semester (15 weeks). 

Whilst there is no formal requirement on programme pathway for part-time students, one based on the following structure is strongly suggested (for details on individual modules see 'Programme Structure and Content' page). YEAR 1   Semester 1   Either MAT001 Operational Research Methods or MAT002 Statistical Methods   Semester 2   MAT004 Computational Methods   Two options         YEAR 2   Semester 1   Either MAT001 Operational Research Methods or MAT002 Statistical Methods (whatever module was not chosen in year 1) MAT003 Communication and Research Skills   Semester 2   Two options   Summer   Initial work on Project Dissertation*   YEAR 3* Work on Project Dissertation. * N.B. It is possible to complete the programme within two years if the student works full-time on the Project Dissertation during the summer of year 2, submitting by the September deadline. Operational Research Methods and Statistical Methods are taught in one-day blocks per week for 10 weeks. Computational Methods is taught in one-day blocks per week for 5 weeks. Option modules are taught in half-day blocks per week for 5 weeks. Assessment is a mixture of written exams (in January and May) and coursework assignments. The Communication and Research Skills module consists of workshops and a written assignment. Part-time students who are in employment will usually be expected to undertake their project work within their own organisation.