MSc Data Science
London School of Economics and Political Science, London
Overview
Twelve-month master's in statistical and computational methods for data, covering data management and visualisation, statistical analysis and machine learning, with a capstone project and optional courses.
Highlights
- Managing and Visualising Data
- Data Analysis and Statistical Methods
- Machine Learning and Data Mining
- Capstone Project
Entry requirements
- Academic
- Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of mathematics.
- English language
- Standard level: IELTS Academic 7.0 overall with 6.5 in each component; TOEFL iBT 100 overall with 23 reading, 22 listening, 24 writing, 22 speaking (updated scale: 5.5 overall, 5 reading, listening and writing, 4.5 speaking); PTE Academic, in person only, 70 overall with 62 in each component.
- Applicants from Pakistan
- LSE's Pakistan page publishes no graduate equivalence for Pakistani degrees. LSE's general guidance for non-UK degrees is normally at least 70 per cent of final-year marks, or a GPA of at least 3.5 out of 4. Source
Careers
The course page lists financial and professional services, and information and digital technology, among the main graduate sectors.
Working after you graduate
Bachelor's and master's graduates on a Student visa may apply in the UK for the Graduate visa: two years if applying by 31 December 2026, or 18 months if applying on or after 1 January 2027.
Checked on 10 October 2026. Official source.
Scholarships for this course
- Chevening ScholarshipsTuition fees, monthly living stipend, economy return flight, arrival and departure allowances and visa application cost
- Commonwealth Master's ScholarshipsFull tuition fees, return airfare, monthly stipend of GBP 1,712 (GBP 2,000 in the London area) and a study travel grant
- Graduate Support SchemeGBP 5,000 to GBP 20,000, depending on financial need (2026 entry terms)