Statistics and Operational Research MSc
Course Overview - Statistics and Operational Research MSc
Many important problems in industry and the public sector are not only about understanding data, but about making better decisions. Organisations need people who can analyse evidence, model systems, allocate resources, evaluate trade-offs and improve processes in areas such as logistics, transport, energy, finance and public services.
This programme gives you both sides of that toolkit: rigorous statistics and operational research. You will learn how to build and assess statistical models, quantify uncertainty, simulate complex systems, optimise decisions and communicate ev...
Many important problems in industry and the public sector are not only about understanding data, but about making better decisions. Organisations need people who can analyse evidence, model systems, allocate resources, evaluate trade-offs and improve processes in areas such as logistics, transport, energy, finance and public services.
This programme gives you both sides of that toolkit: rigorous statistics and operational research. You will learn how to build and assess statistical models, quantify uncertainty, simulate complex systems, optimise decisions and communicate evidence clearly. Together, these skills help you move from understanding what the data says to deciding what should happen next.
Operational research is especially valuable in workplaces where decisions must be made under constraints of time, cost, risk and complexity. You will develop practical skills in software including R, JAGS and Arena, together with wider modelling, problem-solving, teamwork and communication skills that are highly valued by employers working with complex systems and data-rich decisions.
Edinburgh offers a strong environment for this training, with a large statistics and operational research community in the School of Mathematics, a wide range of optional courses, and links with external organisations.
Course Information
2 option s available
Some courses vary and have tailored teaching options, select a course option below.
Course Details
Information
Study Mode
Part-time
Duration
2 Years
Start Date
2027-09-01
Campus
Central area campus
Application Details
Varied
Application deadline
Provider Details
Codes/info
Course Code
Unknown
Institution Code
Unknown
Points of Entry
Unknown
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