Operational Research with Risk MSc
Study modes: Full-time, Part-time
Programme website: Operational Research with Risk
This programme allows students to have both a strong mathematical basis in optimization and apply these techniques in different real situations. You are able to specialize and go deep in those topics which will be the foundations for your future career, thus you can tailor the programme as you wish.
This programme will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights and routing mobile phone calls, over optimising power systems and logistic networks, to managing investments and minimising risks.
Operational Research (OR) is an important skill that is in high demand.
This MSc will give an Operational Research perspective on risk and its management.
Links with Industry
The School of Mathematics has connections with a wide number of industrial partners, organisations, charities and government departments. As an MSc student in the School you will have opportunities to engage with these external organisations through regular employability events, careers workshops, and our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association). There is also the opportunity to undertake a dissertation project with an external partner.
Recent external partners for dissertations in the Operational Research MSc programmes include:
- Department for Work and Pensions
- KrakenFlex (Octopus Energy)
This programme involves two taught semesters of compulsory and optional courses followed by your dissertation project.
Compulsory courses have previously included:
- Fundamentals of Optimization
- Fundamentals of Operational Research
- Methodology, Modelling and Consulting Skills
- Stochastic Modelling
Optional courses have previously included:
- Python Programming
- Machine Learning in Python
- Optimization Methods in Finance
- Topics in Applied Operational Research
- Risk and Logistics
- Operational Research in the Energy Industry
- Credit Scoring
- Biomedical Data Science
- Large Scale Optimization for Data Science
- Natural Computing*
- Introduction to Practical Programming with Objects*
- Algorithmic Game Theory and its Applications*
- Introductory Probability and Statistics
- Generalised Regression Models
- Statistical Methodology
- Statistical Programming
- Time Series
*delivered by the School of Informatics
Dissertation projects on this programme can be undertaken in partnership with public and private sector organisations. Other students choose an academic project without a direct link to an external organisation.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
|MSc||1 Year||Full-time||Programme structure 2022/23|
At the end of this programme you will have:
- built your expertise in mathematical modelling
- gained flexible problem-solving skills based on a deep knowledge of operational research, optimization and data analysis techniques and the ability to apply them using appropriate software
- acquired transferable skills to maximize your prospects for future employment in a wide range of public and private institutions, including writing, oral presentation, team-working, numerical and logical problem-solving, planning and time-management
- enhanced your consulting skills
- learned practical skills in programming and modelling for a wide range of applications
- expanded your understanding of related disciplines, such as high-performance computing, finance and engineering.
The skills you will learn are in demand by a vast range of high-profile organisations, including:
- consultancy firms
- the public sector
- companies with operational research departments such as airlines, energy and telecommunications providers, financial firms, manufacturers
Recent graduates have joined:
- British Airways
- Edinburgh Airport
- the Government OR Service
- Ernst & Young
- Merkle | Aquila
- smaller specialised OR, finance, and energy companies
Student Learning Advisor
In the School of Mathematics we have a dedicated Student Learning Advisor for MSc students who is available to help and advise on a range of issues connected to your taught postgraduate studies.
In addition to your individual meetings with your Personal Tutor, you will have a number of activities with the Student Learning Advisor as part of our personal development programme. This is designed to support your academic progress, career planning and skills development.
Learn about what life is like as a MSc student in the School of Mathematics, by hearing from the people that have experienced it first-hand! Our student bloggers come from all across the world, and have studied on a variety of our MSc programmes.
These entry requirements are for the 2022/23 academic year and requirements for future academic years may differ. Entry requirements for the 2023/24 academic year will be published on 3 October 2022.
A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer science, physical or biological sciences, economics or business. You can increase your chances of a successful application by exceeding the minimum programme requirements.
Students from China
This degree is Band C.
Check whether your international qualifications meet our general entry requirements:
English language requirements
You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.
English language tests
We accept the following English language qualifications at the grades specified*:
- IELTS Academic: total 6.5 with at least 6.0 in each component.
- TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 169 in each component.
- Trinity ISE: ISE II with distinctions in all four components.
- PTE Academic: total 62 with at least 59 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
(*Revised 17 November 2021 to add accepted PTE Academic qualifications.)
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries.
If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study.
Find out more about our language requirements:
School of Mathematics funding
There may be School funding available for well-qualified candidates.
OR Society scholarships
The OR Society offers up to two Master’s degree scholarships worth £10,000 for UK students on an Operational Research MSc programme. Check the website below for application deadlines.
UK government postgraduate loans
If you live in the UK, you may be able to apply for a postgraduate loan from one of the UK’s governments.
The type and amount of financial support you are eligible for will depend on:
- your programme
- the duration of your studies
- your tuition fee status.
Programmes studied on a part-time intermittent basis are not eligible.
Other funding opportunities
Search for scholarships and funding opportunities:
- School of Mathematics
- James Clerk Maxwell Building
- The King's Buildings Campus
- EH9 3FD
Select your programme and preferred start date to begin your application.
MSc Operational Research with Risk - 1 Year (Full-time)
MSc Operational Research with Risk - 2 Years (Part-time)
|Programme start date||Application deadline|
|12 September 2022||31 August 2022|
Due to high demand, the school operates a number of selection deadlines.
We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the next published selection deadline.
We aim to make the majority of decisions within six weeks of the selection deadline.
If we have not made you an offer by a specific selection deadline this means one of two things:
- your application has been unsuccessful, in which case we will contact you to let you know, or
- your application is still being considered, will be carried forward for consideration in the next selection deadline and we’ll be in touch once a decision is made
|Round||Application Deadline||Decisions made or applications rolled to next deadline|
|1||31 January||15 March|
|2||31 March||15 May|
|3||30 June||15 August|
- School of Mathematics
- James Clerk Maxwell Building
- The King's Buildings Campus
- EH9 3FD