find your perfect postgrad program
Search our Database of 30,000 Courses
London School of Economics and Political Science, University of London: Data Science
Institution | London School of Economics and Political Science, University of London |
---|---|
Department | Statistics |
Web | https://www.lse.ac.uk |
stu.rec@lse.ac.uk | |
Telephone | 020 7955 6613 |
Study type | Taught |
MSc
Summary
The MSc Data Science programme offers in-depth training at the forefront of machine learning and data science. We seek applicants with a solid quantitative background and a strong interest in statistics, mathematics, and programming.
The programme offers a unique opportunity for prospective students: the theoretical foundations and computational skills you will acquire will enable you to deploy state-of-the-art data science methods and gain a thorough understanding to tackle various real-world challenges across different application domains at scale. The programme's integration within LSE will also guide your attention towards socially relevant and impactful problems.
The curriculum requires four mandatory courses, including a Capstone project, and three elective courses. The compulsory courses cover fundamental aspects of modern data analysis from both computational and statistical perspectives. The optional courses will enrich you with additional in-depth knowledge in areas such as Artificial Intelligence, Deep Learning, Reinforcement Learning, Bayesian Machine Learning, Distributed Computing for Big Data, Graph Data Analytics and Representation Learning, Time Series Analysis, and Financial Statistics. During the computer seminars accompanying the lectures, you will gain hands-on experience in numerous applications and develop skills in using modern computing systems and software frameworks.
Within the Capstone Project, you will have the opportunity to apply your acquired skills to real-world data science problems in a team and to interact directly with industry partners. You will be jointly supported by one of our industrial partners and an academic with leading expertise from the department. In recent years, our Capstone Project partners have included companies such as Google, Microsoft, Facebook/Meta, Adobe, Samsung, Koa Health, AstraZeneca, Capgemini, Siemens Advanta Consulting, ADIA, Wise, Deutsche Bank, Houghton Street Ventures, Experian DataLabs, KPMG, Tesco, Plymouth Marine Laboratory, Alpha Telefónica, Westminster City Council, and the Thames Valley Violence Reduction Unit. Our capstone projects covered a wide range of application domains, including healthcare, marine and climate research, sustainability, agriculture, transportation, logistics, student well-being, entrepreneurship, and finance.
Level | RQF Level 7 |
---|---|
Entry requirements | Visit the website for full details. |
Location | London School of Economics and Political Science Houghton Street London WC2A 2AE |
Summary
The MSc Data Science provides training in data science methods, emphasising statistical perspectives. You will receive a thorough grounding in theory, as well as the technical and practical skills of data science.
Your theoretical learning will be at a high mathematical level, while the technical and practical skills you will gain will enable you to apply advanced methods of data science and statistics to investigate real world questions.
The compulsory courses on the MSc Data Science programme will provide you with comprehensive coverage of some fundamental aspects of data, computational techniques and statistical analysis. You will then choose courses from a number of options ranging from Artificial Intelligence and Deep Learning, Bayesian Machine Learning and Distributed Computing for Big Data, to Financial Statistics and Computational Data Science. The programme will combine traditional lectures with computer lab sessions, in which you will work with data to complete hands-on exercises using programming tools.
The MSc Data Science Capstone Project will provide you with a unique opportunity to apply knowledge gained from the programme by working on a real-world data science project in cooperation with a company. The Capstone Project company partners in the academic year 2021/22 included Facebook, Microsoft, Capgemini, Koa Health, Siemens Advanta Consulting, Deutsche Bank and Open University. The Capstone Projects have covered a wide range of data science problems involving analysis of various types of data such as social media data, customer behaviour data, and company network data. Working on a Capstone Project will enable you to gain valuable hands-on experience and interact with industry.
Level | RQF Level 7 |
---|---|
Entry requirements | Visit the website for full details. |
Location | London School of Economics and Political Science Houghton Street London WC2A 2AE |
Not what you are looking for?
Browse other courses in Data analysis, Data processing, Mathematics, Probability or Statistics, or search our comprehensive database of postgrad programs.Scholarship Opportunity with Postgrad.com
Are you a PG student at this University or have you applied to study a postgraduate program at a university in Europe? Tell us your plans and qualify for a £500.00 PGS Scholarship.
Click here