The minimum entry requirement is a UK 2.1 Honours degree or equivalent in first degree that has a strong mathematical component. Graduates from Mathematics, Physics, Computer Science, Finance, Economics, Engineering will be better equipped.
Months of entry
The MSc aims to provide you with the theoretical and practical tools, along with professional and research skills, necessary to understand, model and tackle the major problems that arise from the complexity of systems which demand decision-making under Risk and Uncertainty.
The association of this programme to the Liverpool Institute for Risk and Uncertainty gives you the opportunity to learn from and interact with a truly multidisciplinary team of academics. Additionally, due to the strong links with industrial partners, you will be exposed to the knowledge of professionals who deal with risks and uncertainty from an industrial perspective. You will not only be taught through the traditional interaction with lecturers, but also:
- Master classes from academics and industry experts
- An Easter school with academic and industrial experts
- Group work tasks
- Individual project activities
The programme provides a unique opportunity in the UK for training professionals and graduates who are able to communicate across the boundaries of the traditional disciplines; eg architecture, computer science, engineering, environmental sciences, finance, law, management, mathematics, psychology and social sciences. Those trained in this way will be able not only to enumerate the risks associated with a particular activity or process, but also to express clearly the meaning of the risk to the general public and decision-makers. As such, they will be able to cross the traditional divide between mathematical intricacy and explanation in common language.
Graduates from this MSc will gain high-level competencies for employment with organisations, such as industrial companies, environmental science bodies, consultancies and financial institutions, which are currently developing, or already have in existence, in-house units focusing on Risk and Uncertainty.
The required modules are divided according to the following three aspects of educational content:
- A comprehensive appraisal of risk and uncertainty from the point of view of different disciplines
- The underlying theoretical and computational tools
- Research skills necessary to complete the final project.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Dr. Alejandro Diaz De la O