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Risk has become a key concept in modern society. Growing concern about the environment and a number of disasters have served to focus attention on the hazards and risks involved in a wide range of activities from offshore oil production to rail and air transport; from the design of football stadiums to the operation of chemical plants and environmental protection.
Today there is a wide range of techniques available to assess risk and reliability, both in relation to safety and in the wider sense. These techniques now underpin new legislation on safety and have relevance over a broad spectrum of activities, including environmental and other systems, where risk and reliability are key concerns.
The MSc/PG Diploma course in Safety, Risk and Reliability Engineering is designed to give a thorough understanding of these techniques and experience of their application to a variety of real-world problems. It aims to provide students with an understanding of safety, risk and reliability engineering in both a qualitative and quantitative manner, and to develop the skills to apply this understanding. The course will also introduce students to recent developments in analytical techniques, e.g. computer modelling of risk, reliability and safety problems.
September, January, May
Follow the links below for more detail on each course and university contact details.
Advanced Structural Engineering MSc
Applied Petroleum Geoscience MSc
Building Services Engineering MSc
MSc Business and Organisational Psychology
Civil Engineering and Construction Management MSc
Commercial Management and Quantity Surveying MSc
Construction Project Management MSc
International Marine Science MSc
MSc Logistics and Supply Chain Management
Master of Business Administration (MBA)
MBA with a Specialism in Finance MBA
MBA with a Specialism in Strategy MBA
MSc Renewable and Sustainable Energy Transition
Safety and Risk Management MSc
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ARTU Ranking (Out of 45 UK universities included in their table)
QS World University Rankings- QS Quacquarelli Symonds rankings data– (CC BY-NC-ND 4.0)