Overview
The Data Science MSc at UCL is designed to develop the computational, statistical, and analytical skills needed for data-driven problem solving. The programme combines statistics, programming, and machine learning to help students analyse complex datasets and design technical solutions using modern computational methods.
UCL is recognised as one of the top institutions for studying Data Science, ranked 5th in the UK by the QS World University Rankings by Subject 2025 for Statistics and Operational Research. The university's strong partnerships with industry leaders and its commitment to research excellence are key strengths. UCL's Centre for Computational Statistics and Machine Learning provides students with access to cutting-edge research and facilities, enhancing their learning experience.
Syllabus
The curriculum blends core statistical and machine learning methodologies with optional modules for specialised knowledge. Students will engage in the following modules:
- Machine Learning
- Statistical Design of Investigations
- Statistical Computing
- Statistical Data Science
- Research Project
- Foundation Fortnight
Additionally, students can choose from various optional modules including:
- Stochastic Systems
- Applied Bayesian Methods
- Graphical Models
- Applied Deep Learning
- Information Retrieval and Data Mining
Careers
Graduates from the MSc Data Science programme at UCL are well-prepared for a range of professional roles in data-driven sectors. Alumni have successfully secured positions as data scientists, machine learning engineers, data analysts, and data engineers. They find employment across various industries, including financial services, technology, and academia. Notable employers of recent graduates include JPMorgan Chase & Co., Deloitte, Procter & Gamble, and Huawei. The demand for skilled data science professionals continues to grow, making this degree a valuable asset for those looking to enter or advance in the field.
Programme Structure
Courses include:
- Machine Learning
- Foundation Fortnight
- Statistical Computing
- Statistical Data Science
- Graphical Models
- Information Retrieval and Data Mining
- Statistical Natural Language Processing
- Forecasting
- Decision and Risk
- Applied Bayesian Methods
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 406 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard.
- Knowledge of mathematical methods and linear algebra at university level is expected, along with evidence of familiarity with introductory probability, statistics and computer programming.
- Prior experience in a high-level programming language (e.g. R/matlab/python) is a requirement. Relevant professional experience will also be taken into consideration.
Tuition Fees
-
International Applies to you
Applies to youNon-residents46700 GBP / year≈ 46700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents21500 GBP / year≈ 21500 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility