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The MSc in Data Science at University College London (UCL) is a prestigious, STEM-designated postgraduate program designed to develop high-level expertise in statistical analysis, machine learning, and data engineering. Offered by the Department of Statistical Science, this interdisciplinary degree equips students with the theoretical foundations and applied skills needed to extract meaningful insights from complex, large-scale data sets.
Situated in the heart of London—one of the world's leading tech and financial hubs—UCL's program offers academic excellence alongside exceptional industry access.
Program Format & Duration
Full-time, on-campus (London, UK)
Duration: 1 year (12 months)
Start date: September
Award: MSc Data Science (Taught)
Department: Statistical Science, UCL Faculty of Mathematical and Physical Sciences
Core Curriculum Components
The program combines core instruction in statistical modelling and computation with flexible elective options that allow for domain-specific specialization.
Core Modules
Statistical Foundations
Statistical Design of Investigations
Statistical Computing
Applied Bayesian Methods
Introduction to Machine Learning
Computational Tools & Data Handling
Data Science at Scale
Programming in Python and R
Big Data Analysis and Infrastructure
Mathematical & Theoretical Modelling
Advanced Regression Techniques
Time Series Analysis
Computational Inference
Optimisation for Data Science
Electives (sample options)
Students can tailor the program with modules in:
Financial Data Science
Natural Language Processing
Biomedical Data Analysis
Social Data Analytics
Statistical Methods in Genetics
Research Project (Dissertation)
A substantial independent research project
Students work under supervision to analyse real data or explore advanced statistical methods
The project culminates in a dissertation and presentation
UCL integrates theory, tools, and real-world application to ensure students are career-ready.
Research Project
Conducted in the final term (May–September)
Often involves industry-relevant data or collaborations with research groups
Encourages independent inquiry, technical proficiency, and scientific communication
Practical Skill Development
Continuous training in R, Python, and cloud-based data tools
Emphasis on reproducible research, coding best practices, and ethical data usage
Workshops and seminars with visiting experts from academia and industry
Industry Connections
UCL has strong partnerships with firms in fintech, AI, consulting, and healthcare analytics
Career fairs, employer presentations, and alumni panels are offered through UCL Careers
London’s location provides direct access to internships and job opportunities
Graduates of UCL’s MSc Data Science program are highly sought after for their blend of analytical, statistical, and computational expertise.
Career Outcomes
Graduates typically pursue roles such as:
Data Scientist
Machine Learning Engineer
Statistical Analyst
Data Engineer
Business Intelligence Specialist
Quantitative Researcher
Risk Analyst or AI Consultant
Top Employers
Alumni work at:
Google, Amazon, Microsoft, DeepMind
Goldman Sachs, Barclays, HSBC
NHS, UK Government, ONS
Startups in AI, health tech, and edtech
Research labs, NGOs, and policy think tanks
Further Study
Graduates also pursue:
PhDs in Data Science, Machine Learning, Computational Statistics
Doctoral programs in Bioinformatics, Finance, or Social Data Analytics
Interdisciplinary research roles within UCL or other top global institutions
Bachelor’s Degree: Achieve at least an upper second‑class UK bachelor’s degree—or equivalent from a quantitative discipline (e.g., computer science, mathematics, engineering, physical sciences, statistics)Quantitative Coursework: Demonstrate university-level proficiency in mathematical methods and linear algebra, along with familiarity in introductory probability, statistics, and computer programmingProgramming Skills: Provide evidence of experience with a high-level programming language such as Python, R, or MATLABEnglish Proficiency: International applicants must satisfy UCL Level 1 English requirements or complete a pre-sessional English course if neededVisa-Affected Deadlines: Apply before 04 April 2025 if requiring a visa; non-visa applicants have until 29 August 2025 (5 pm UK time)Optional Professional Experience: While not mandatory, relevant work experience may strengthen your applicationUCL also offers variant MSc programs (e.g., Data Science & Machine Learning, Health Data Science, Social and Geographic Data Science) with similar quantitative and degree class requirementsFor specific concentrations like Finance with Data Science, acceptable degrees include economics, finance, econometrics, or other strong quantitative backgrounds—GRE/GMAT are optional but a GRE Quant ≥162 adds weight for international applicantsThe program is accredited by the Royal Statistical Society and includes a real-data research project, with high entry standards and competitive selectionData ScientistMachine Learning EngineerData AnalystBusiness Intelligence AnalystQuantitative ResearcherData EngineerAI SpecialistResearch ScientistAnalytics ConsultantBig Data Architect
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University College London
