Overview
The MSc in Data Science and Public Policy (Economics) at UCL is designed to address the complexities of modern policymaking through advanced data science techniques. This programme offers a unique blend of quantitative analysis and economic theory, empowering students to leverage the vast amounts of data available today for effective public policy development and evaluation. As digital information continues to expand, the ability to interpret and apply this data is crucial for addressing pressing societal issues.
Why Data Science and Public Policy (Economics) at UCL?
UCL is renowned for its strong academic reputation and innovative research, consistently ranking among the top universities globally. The programme benefits from UCL's extensive partnerships with leading organisations, providing students with access to invaluable resources and networking opportunities. The facilities available for students are state-of-the-art, ensuring a conducive learning environment.
Tuition Fee Breakdown
The tuition fees for the MSc in Data Science and Public Policy (Economics) are set at £36,500 per year for both international and national students. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a comprehensive education in data science and economics through a combination of compulsory modules and electives. Key modules include:
- Statistical Learning for Public Policy
- Statistical Programming for Social Data Science
- Data, Evidence and Public Policy
- Machine Learning in Economics
- Econometrics
- Microeconomics
- Macroeconomics
Students will also undertake an independent research project culminating in a dissertation, allowing them to apply their acquired skills to real-world public policy questions.
Careers with Data Science and Public Policy (Economics)
Graduates of this programme have successfully launched careers in various sectors, including the civil service, international organisations, and financial institutions. Alumni have secured positions as data analysts, research analysts, and reporting analysts, contributing to significant organisations such as HM Treasury, the European Commission, and various NGOs. The skills gained from this degree are highly valued, preparing students for impactful roles in public policy and data science.
Programme Structure
Courses include:
- Econometrics
- Microeconomics
- Macroeconomics
- Machine Learning in Economics
- Statistical Learning for Public Policy
- Statistical Programming for Social Data Science
- Data, Evidence and Public Policy
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Economics Public Policy Data Science & Big Data View 416 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A minimum of an upper second-class Bachelor's degree in Economics with a significant quantitative component from a UK university, or an overseas qualification of an equivalent standard. Applicants with a qualification of an equivalent standard in another quantitative discipline, e.g. statistics, mathematics, or physics, may also be considered.
Tuition Fees
-
International Applies to you
Applies to youNon-residents36500 GBP / year≈ 36500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents36500 GBP / year≈ 36500 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
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Public Policy (Economics).
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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