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The MSc Data Analytics at Queen Mary University of London is a flexible, one-year full-time (or two-year part-time) program designed for graduates with strong mathematical backgrounds.
Delivered by leading experts, the program combines technical mastery with sector-specific applications in finance, healthcare, retail, and manufacturing.
Students benefit from state-of-the-art facilities in Queen Mary’s £18 million Mathematical Sciences building, including Bloomberg terminals
Course Overview:
Machine Learning with Python
Storing, Manipulating, and Visualising Data
Probability and Statistics for Data Analysis
Programming with Python
Stream Options: Applied Machine Learning, Pattern Recognition and Deep Learning, Statistical Inference
Teaching: Lectures, hands-on programming labs, tutorials, and workshops across core and specialist modules.
Assessment: Assessed via coursework, exams, and an independent summer research project.
Summer research project with opportunities for independent or industry-aligned work.
Access to Bloomberg terminals for financial data analysis.
Real-world projects in specialist streams such as financial data analytics, healthcare, and business intelligence.
Career support and engagement with companies like British Airways, Accenture, PwC, UBS, and BlackRock.
Graduates progress to high-demand roles across data science, analytics, and AI in top global firms.
Pathways to further research and PhD study.
Specialist streams provide targeted preparation for diverse industries.
100% project-based summer term enhances employability.
TOEFL: Minimum score 92 overall with 21 in Writing, 19 in Reading, 18 in Listening and 21 in SpeakingIELTS: Minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and SpeakingEntry Requirement: A good 2:2 (55% or above) or above at undergraduate level in a subject with substantial mathematical content, including Mathematics, Statistics, Physics, Engineering, Economics and Computer Science.Part time studies available; 2 yearsScholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data Science ConsultantAI ScientistPricing AnalystCustomer Insights AnalystQuantitative Risk AnalystMarket Risk Analyst
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Queen Mary University of London
