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Masters

UCL (University College London)

Data Science and Public Policy (Economics) MSc

UCL (UNIVERSITY COLLEGE LONDON)

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Different course options
Key information
Course Summary
Modules
Tuition fees
Entry requirements
University information
Location
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Different course options

Full time | UCL (University College London) | 1 year | SEP-26

Study mode

Full time

Duration

1 year

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Public Administration Data Science Economics

Course Summary

UCL's MSc Data Science and Public Policy, co-taught by UCL Economics and Political Science, will equip a new generation of policymakers to solve the biggest problems in today's society through data science. The rapid expansion and increased availability of quantitative data in recent years provides policymakers with both important opportunities and great challenges. The vast size and complexity of digital information can improve how we understand, design, implement, and evaluate effective public policy. However, translating this wealth of information into useful insight requires a deep understanding of cutting-edge data-science methods, rich technical skills, and detailed knowledge about economic and political processes. The Data Science and Public Policy MSc is defined by two routes: the Economics route and the Political Science route. You’ll receive training in applied data-science methods and insight into economic and political processes on both routes via three shared compulsory modules. The Economics route further explores modern quantitative economic analysis, while the Political Science route (see the separate Graduate Prospectus entry) delves deeper into public policy formation and implementation. Each route has its own set of entry requirements to reflect the emphasis of that route . You can apply for a place on either the Economics or Political Science route of this programme.

Modules

Data, Evidence and Public Policy (15 Credits) - Core

This module provides an overview of the role of "big data" and data science methods in the policymaking process. The module seeks to address a variety of questions, including: How is "big data" used in the development of public policy? How can data science and artificial intelligence be used to inform policymaking and improve the provision of public services? How do practitioners include data science tools in the policy workflow? What are the ethical or social implications of the use of such tools? And how are these shaped by the evolving regulatory environment? This module will also include guest lectures by data science practitioners in government, policy, and industry.

Dissertation (60 Credits) - Core

Econometrics (15 Credits) - Core

Machine Learning in Economics (15 Credits) - Core

Macroeconomics (15 Credits) - Core

Microeconomics (15 Credits) - Core

Statistical Learning for Public Policy (30 Credits) - Core

Statistical Programming for Social Data Science (15 Credits) - Core

Tuition fees

UK fees

Course fees for UK students

Contact University and ask about this fee

International fees

Course fees for EU and international students

For this course (per year)

£36,500

Entry 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.

University information

UCL (University College London)-Overview

Uni profile Get prospectus

University College London (UCL) is consistently ranked among the top ten universities in the world, conducting leading research across a wide range of subject areas. Throughout its long and prestigious history, it has inspired and educated countless minds and produced over 30 Nobel prize recipients. With one campus located in the heart of Bloomsbury and a second campus in vibrant east London, the university is home to over 50,000 students...more

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