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| Annual Tuition Fee: | ≈ € 9,253 - ≈ € 16,222 (non-EEA) | ||
| Location: | Manchester / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
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| Languages: | English | ||
Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future. This course gives you the cutting edge analytical approaches, methodologies and tools you need to confidently tackle problems and improve outcomes.
The aim of the course is to give students a solid quantitative foundation alongside practical problem-solving techniques. Much of your learning involves real-life scenarios using case studies, individual and team consulting-based assignments, presentations and software tools. Much of the coursework takes the form of consulting-style cases, some done in small teams and including presentations.
The core of the course is formed by four analytics units covering fundamental toolkit areas of decision sciences, applied operational research and statistics. The approach is to consider application of these analytical methodologies and toolkits to common problem areas across business and management.
The other four units may be chosen from a broad range of options, according to your interests, background and intended career directions. Useful `themes' that combine well with the core analytics modules include:
* Traditional operational research and applied mathematics and statistics
* Information systems concepts and tools
* Operations management and process change and improvement approaches
* Project management
* Supply chain management, logistics and procurement
* Financial modelling
Course aims The course is intended to provide management, engineering, science, mathematics, economics or similar graduates who have a solid quantitative foundation with deeper analytical skills and an understanding of how these are applied to business and management problems. Module details The course consists of both compulsory and optional taught units. Compulsory course units include: Mathematical Programming and Optimisation; Applied Statistics and Business Forecasting; Simulation and Risk Analysis; and Risk, Performance and Decision Analysis. A range of optional units is available, depending on availability and timetabling, and students' with a suitable background.
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take testFull entry requirements
Academic entry qualification overview:
Normally a UK bachelor degree with upper second class honours or the overseas equivalent is required in a quantitative subject such as mathematics, statistics, physics, engineering or management science.
When assessing your academic record we take into account your grade average , position in class, references and the standing of the institution where you studied your qualification. We particularly welcome applicants from institutions of high ranking and repute.
English language: Students whose first language is not English will be required to take an English language test. See here for more details.
Other international entry requirements: We accept a range of qualifications from different countries. For these and general requirements including English language see entry requirements from your country.
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
| Cambridge English: Advanced (CAE): | Grade C (Score: 60) |
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