Overview
The Data Science programme from London School of Economics and Political Science offers a unique opportunity for prospective students: the theoretical foundations and computational skills you'll 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.
Key Facts
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'll gain hands-on experience in numerous applications and develop skills in using modern computing systems and software frameworks.
Programme Structure
Courses include:
- Managing and Visualising Data
- Data Analysis and Statistical Methods
- Machine Learning and Data Mining
- Algorithms and Computation
- Modelling in Operations Research
- Quantitative Text Analysis
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Visit the website for full details.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Computer Sciences Data Science & Big Data View 406 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Upper second class honours (2:1) degree or equivalent in a relevant discipline, including a substantial amount of mathematics.
- Competition for places at the School is high. This means that even if you meet the minimum entry requirement, this does not guarantee you an offer of admission.
Tuition Fees
-
International Applies to you
Applies to youNon-residents38000 GBP / year≈ 38000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents38000 GBP / year≈ 38000 GBP / year
Additional Details
Every graduate student is charged a fee for their programme. Visit the website for more information about the fees.
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
The School recognizes that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.Find out more about financial support.
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.
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