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Queen Mary University of London

Course: MSc Risk Analytics

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Course Details

School: Queen Mary University of London

Subject area: Risk Analytics; Data Analytics; Statistics; Financial Risk Management; Regulatory Risk; Climate Risk; Sustainability; Actuarial Science; Financial Markets; Business Analytics; Machine Learning; Python; R; SAS

Level: Master of Science (MSc)

Degree duration: 1 year (full-time); 2 years (part-time)

Degree intake date(s): September

Annual tuition fee: £33,500 (Annual tuition fee for international students for 2025/2026. Always verify the most up-to-date fees directly with the university.)

*Note: The fees quoted above are subject to change by the course provider and are for guidance only. If your application is successful, a detailed breakdown of fees will be provided with your offer.

School: Faculty of Science and Engineering, School of Mathematical Sciences. This Master of Science (MSc) program provides advanced knowledge and practical skills in risk analytics, combining statistical methods, computer programming tools, and financial/business insight. It is designed to equip students with the expertise needed to manage risk in various sectors, particularly during times of global uncertainty (e.g., climate change, health, regulation). The curriculum covers core areas like statistics, probability, mathematical tools for risk management, financial instruments and markets, and data analytics. Students gain hands-on experience with statistical software such as Excel/VBA, SAS, R, and Python. The program offers opportunities for specialization in areas like climate and sustainability risk, regulatory risk management, or financial risk management through elective modules and the dissertation. No prior background in mathematics is strictly required, making it accessible to students from diverse disciplines.
Graduates are highly sought after in a wide range of industries that require analytical risk management professionals. The program provides the skills and knowledge for careers in financial institutions (e.g., investment banking, insurance), regulatory bodies (e.g., central banks, financial regulators), and corporations across sectors such as finance, medicine, IT, science, and technology. Specific roles include: Risk Analyst, Data Analyst, Quantitative Analyst (Quant), Regulatory Compliance Officer, Financial Risk Manager, Actuarial Analyst, Climate Risk Specialist, Business Intelligence Analyst, Consultant. The program's focus on real-world case studies, hands-on software training, and opportunities for specialization directly align with industry demands.
Queen Mary University of London is a member of the UK's prestigious Russell Group, signifying its commitment to world-class research and education. It has a strong background in social justice, social mobility, and embracing diversity, fostering an inclusive learning environment. The university is a campus university in London, offering a distinct collegiate experience within a vibrant global city, regularly voted the world's #1 student city. The School of Mathematical Sciences features a refurbished Mathematical Sciences Building (2019, £18m investment), providing state-of-the-art research, teaching, and study spaces, including a new lecture theatre, high-quality teaching rooms, an IT Lab, and dedicated postgraduate study areas. The program's content is directly informed by industry needs, ensuring graduates are well-prepared for the job market.
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