|Tuition fee:|| |
|Start date:||September 2014|
|Delivery mode:||On Campus|
|Educational variant:||Part-time, Full-time|
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You will study a variety of problem-solving techniques, allowing you to build and use mathematical and statistical models, alongside skills to develop your abilities to communicate effectively to others. The programme will prepare you with essential techniques in Operational Research and Applied Statistics, and allow you to then select from a number of interesting and varied optional courses in topics such as supply chain modelling, healthcare, and Statistics and Operational Research for Government (delivered with input from the Office for National Statistics and Welsh Assembly Government). As well as studying the foundations in Operational Research and Applied Statistics, you will study further topics in actuarial risk, financial modelling and credit risk scoring, and is ideal for those who wish to study in greater depth risk models, particularly for application to financial markets but also to other sectors.
We have designed and structured the programmes with both full and part-time students in mind. By adopting an efficient modular approach to teaching, part-time students will typically only need to be in the University for lectures and workshops for the equivalent of one day per week over 24 weeks each year, and complete the taught component of the programme over two years with up to a further year to complete the project dissertation. Full-time students will complete the programme in 12 months, which includes a 3 month period working with a company on a real problem of importance to that company.
* Our MSc in Operational Research, Applied Statistics and Risk is a unique MSc degree combination in the UK, and is ideal for those who wish to study in greater depth risk models, particularly for application to financial markets but also to other sectors.
* Delivered by experts in the fields of Operational Research and Statistics, the skills that you will learn are highly transferable for use within industry, business and the public sector.
* We enjoy close collaboration with a number of organisations who employ Operational Researchers, Statisticians and Financial/Risk Modellers, and critical to our programmes is the opportunity for you to put the theory into practice, through case studies and project work in the `real-world´. An important feature of the MSc is the project dissertation, allowing you to work with an external company. Studying our MSc programmes offers the possibility of exciting and rewarding career opportunities and progression.
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, both written and oral (applicants whose first language is not English will normally require an IELTS score of 6.5 or TOEFL 600).
* Willingness to engage with staff and students for mutual benefits.
* Motivation to establish or accelerate a career in Operational Research and Statistics.
| CAE score: (read more) |
Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IETLS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever.
|75 (Grade B)|
The School has a number of scholarships on offer for full-time UK/EU students which will pay the entire fees and in some cases additional support towards living costs. These are highly competitive and so you we suggest you apply early.
Note: International students pursuing part-time programmes of study are not eligible for Tier 4 (General Student) visas and must have alternative leave to remain in the UK if they intend to study at the University in person.
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