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The MSc Data Science at LSE delivers rigorous training at the forefront of machine learning and data science, blending theoretical foundations with computational skills. It’s ideal for students with a strong quantitative background and an interest in statistics, mathematics, and programming, preparing them to solve real-world challenges across diverse domains.
Ranking: LSE is ranked 6th in the world for Statistics and Operational Research (QS 2025), 1st in the UK (Times and The Sunday Times 2025), and 1st in London for 13 years running (Complete University Guide 2025).
Course overview:
Managing and Visualising Data
Data Analysis and Statistical Methods
Machine Learning and Data Mining
Capstone Project
Optional courses: Managing and Visualising Data, Data Analysis and Statistical Methods, Machine Leaming and Data Mining, Algorithms and Computation, Quantitative Text Analysis, Social Network Analysis, Computer Programming, Multivariate Methods
Teaching methods: Lectures, computer seminars, workshops, and team-based projects. You’ll engage in hands-on sessions using modern computing systems and software frameworks.
Assessments: Written examinations, coursework, project reports, and presentations. The Capstone Project is assessed through both written and oral components.
Capstone Project: Students undertake a substantial real-world data science project, often in collaboration with leading industry partners such as Google, Microsoft, and Meta.
Computer Seminars: Hands-on sessions using modern computing systems and software frameworks provide students with essential technical skills and applied learning.
Team-Based Projects: Throughout the program, students collaborate on group assignments that simulate real-world data challenges across diverse industries.
Advanced Computing Labs: Students have access to LSE’s state-of-the-art computing infrastructure, supporting work in big data, machine learning, and distributed systems.
Collaboration with the Data Science Institute: Engagement with LSE’s interdisciplinary research hub fosters academic growth and exposure to frontier data science applications.
Professional Skills Workshops: Offered through LSE LIFE, these workshops build communication, leadership, and teamwork capabilities crucial for data science roles.
Industry Networking Events: Students regularly meet and interact with professionals from London’s tech and analytics sectors through career panels and seminars.
Academic Mentoring and Support: Ongoing one-on-one academic guidance ensures personal development and support throughout the program.
Library and Research Resources: Full access to LSE’s extensive academic libraries and digital resources strengthens research capabilities.
Study Groups and Peer Learning: Students participate in structured study groups that promote cross-cultural teamwork and collaborative problem-solving.
Graduate employment: LSE MSc Data Science graduates excel in finance, technology, consulting, and research, with many joining global leaders like Google, Meta, and KPMG
Industry connections: The program’s strong industry links and world-class reputation ensure outstanding employability and long-term career value
Further study: Students can pursue doctoral research (PhD) in Data Science, Statistics, or related fields
Advanced degrees: Progression to MSc programs in Artificial Intelligence, Financial Statistics, or Computational Social Science
Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of mathematics.IELTS Academic: Overall 7.0, with no subscore below 6.5TOEFL iBT (including Home and Paper Editions): Overall 100, R23, L22, W24, and S22Competition for places at LSE is strong. So, even if you meet the minimum entry requirements, this does not guarantee you an offer of a place.Part time studies available for home studentsAcademic Achievement (including predicted and achieved grades), Statement of Academic Purpose, Two Academic References and CV are required for applicationScholarships availableBusiness AnalystBusiness Intelligence AnalystData ScientistData EngineerData ManagerData AnalystData ArchitectData ModellingData Mining Engineer
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London School of Economics and Political Science
