Research course

Operational Research

Institution
University of Essex · Department of Mathematical Sciences
Qualifications
MSc by research

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Entry requirements

We will consider all applicants with 2:2 or above, or equivalent international qualifications. For some courses, there may be additional requirements which can be found on our website.

Months of entry

October

Course content

Our MSD Operational Research gives you the opportunity to explore areas where optimisation and mathematical modelling are important. These include logistics, revenue management, networks and stochastic control; areas of great practical interest and use in the public and private sectors. Our projects often have an experimental aspect which is underpinned by forefront mathematical and computational research in these areas. Our staff are strongly committed to research and teaching. They have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals such as; International Journal of Mathematics in Operational Research, Transportation Science, Journal of the Operational Research Society, Mathematical Problems in Engineering, and European Journal of Operational Research. Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples: Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education. We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios. We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables. Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource. Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’. We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity. We also offer an MPhil and a PhD in this subject, and part-time research study is also available.

Information for international students

Entry requirements - You can find international entry requirements for most countries on our webpage www.essex.ac.uk/international. If your country is not listed, please contact Postgraduate Admissions at pgadmit@essex.ac.uk.

Pre-sessional English Language courses -
If you need to improve your English language skills before joining your main degree course, we offer pre-sessional English courses on our campuses in partnership with Kaplan International Pathways. To learn more, please visit www.essex.ac.uk/international/pre-sessional
Funding -
You can explore scholarship opportunities for your country at www.essex.ac.uk/international or view our university-wide scholarships at www.essex.ac.uk/scholarships.

Fees and funding

There are a wide range of funding options for postgraduate study, including scholarships, bursaries and alumni discounts. You can check your eligibility at https://www.essex.ac.uk/postgraduate/research/fees-and-funding.

Qualification, course duration and attendance options

  • MSc by research
    part time
    36 months
    • Campus-based learningis available for this qualification
    full time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
PG Admissions
Email
pgadmit@essex.ac.uk