Data Science and Public Policy (Economics) MSc Program By UCL |Top Universities
Subject Ranking

# 18QS Subject Rankings

Program Duration

12 monthsProgram duration

Tuitionfee

29,400 GBPTuition Fee/year

Scholarship

YesScholarships

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

UCL's new MSc Data Science and Public Policy, the first degree to be 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.  

This programme will provide you with intensive training in applied data-science methods, computer programming, statistics, and machine learning, with a focus on applying these tools to questions in public policy. You will also take specialised modules in economics through which you will develop a strong understanding of key issues in public policy formation, development and analysis using economic theory. The programme features a combination of compulsory modules and options, enabling you to chart your own path.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

UCL's new MSc Data Science and Public Policy, the first degree to be 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.  

This programme will provide you with intensive training in applied data-science methods, computer programming, statistics, and machine learning, with a focus on applying these tools to questions in public policy. You will also take specialised modules in economics through which you will develop a strong understanding of key issues in public policy formation, development and analysis using economic theory. The programme features a combination of compulsory modules and options, enabling you to chart your own path.

Admission requirements

Undergraduate

7.5+
191+
109+
75+
3.3+
161+
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.
Applicants whose studies for their undergraduate degree have been undertaken wholly or mainly at a university located outside the UK must supply GRE General Test scores and demonstrate competence in English at UCL’s Advanced level before the start of the course and preferably at the time of application. The quantitative GRE score must be 161 or above (post-August 2011 scores).
Relevant practical or work experience in a related field may also be taken into account. For example, this might include: i) at least two years of experience working in a public sector organisation, a think tank, an international-governmental organisation, or in a public-policy consultancy role; or ii) at least two years of experience working in a data-science role
Incoming students must pass an online Mathematics Camp course during the summer before starting the MSc programme.
1 Year
Sep

Tuition fee and scholarships

Domestic Students

29,400 GBP
-

International Students

29,400 GBP
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

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A scholarship application checklist

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