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Risk Analytics at Queen Mary University of London - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

During a time of great global uncertainty, organisations are looking for professionals with traditional risk management knowledge and strong data analysis skills. This programme was designed to help you develop these expertise. We provide comprehensive training in risk management, including risk analytics, data analytics and applied statistics. You can also choose to specialise in specific areas of risk management such as risk regulation and sustainability and climate risk.

  • No background in mathematics required. We invite applications from all disciplines.
  • Develop the risk management skills that employers are looking for in a wide variety of industries including finance, medicine, IT, science, technology, and regulatory bodies.
  • Tailor the programme to your interests with elective modules in risk regulation, sustainability and climate risk, financial risk management, data science and much more.
  • Work with real-world climate data to develop the analytical skills required for climate risk management
  • Study modelling techniques and their applications in systemic risk and financial crises
What you'll study Semester One In the first semester, you will focus on the compulsory modules. These will provide you with the necessary foundations to succeed in a risk related career. We will cover fundamental risk analytics tools, statistics, data analytics, and machine learning. We will also introduce you to key risk management theories in Enterprise Risk Management and Finance. Semester Two In the second semester, you will choose all your modules and tailor the programme to your interests, career plans or professional background. Our elective modules give you the opportunity to specialise in specific areas of risk management, such as:
  • Enterprise risk analytics (with Actuarial Risk Management 2)
  • Financial risk analytics (with Digital and Real Asset Analytics and Financial Data Analytics)
  • Sustainability and Climate Risk Analytics
  • Regulatory Risk Analytics.
Semester Three In the third semester, you will work on your dissertation. This is a unique opportunity to be actively involved in risk-related projects. Working alongside a researcher, you will develop the hands-on skills required to work in various industries, government agencies, or academic institutions. You will also be well-positioned to pursue a PhD programme in Risk Analytics or a related field.

Modules

Please refer to our website.

Assessment method

Please refer to our website.

How to apply

International applicants

Please check the course page on the Queen Mary website for information on English Language Requirements and Visas.

Entry requirements

A 2:2 or above at undergraduate level in any subject.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/ Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

To learn more about funding and scholarships, please visit our Funding a Masters webpage at: qmul.ac.uk/postgraduate/taught/funding_masters

Risk Analytics at Queen Mary University of London - UCAS