)
Data Science at UEA
Find out more about studying Data Science at UEA, and browse our other courses.
Find out moreMSc Data Science for Public Policy and Politics
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- September 2026
Other Start Dates
Chat to us on Unibuddy
Any questions? Chat online with current students, staff and experts. This is your chance to ask anything about UEA, university life, Norwich and more.
Other Start Dates
Scroll For More
Why you should choose us
Course Overview
Data is fast becoming the biggest asset in the hands of policymakers. Data analysis, insights, and problem-solving are the engines that will fuel tomorrow’s world and your career within it.
If you’re eager to use cutting-edge computational and technical skills to tackle complex societal, political, and policy issues, then this degree is for you. You'll gain a comprehensive understanding of key political issues and the latest research in political science. You’ll marry this with highly sought-after data analytics, programming, and problem-solving abilities. You'll prepare to excel in competitive roles within government, non-governmental, and private organisations that require innovative, data-driven approaches to political, societal, and economic challenges.
Imagine learning and harnessing newly acquired technical skills such as data mining, computer coding, big data modeling, natural language processing, and network analysis while embedded in a world-renowned research community specialising in computer science, politics, digital media, public policy, and international relations. You'll learn from faculty with expertise in political parties, political economy, data science, machine learning, artificial intelligence, election management, and digital politics.
With a focus on your future employability in diverse careers across the globe, this MSc in Data Science for Public Policy and Politics is uniquely positioned. It'll equip you with the computing and statistical skills you need to tackle the policy and political challenges facing tomorrow’s world. Join us to build the skills you need to lead data-driven change for the next generation.
)
Study and Modules
Structure
The MSc in Data Science for Public Policy and Politics is a one-year course. In each semester, you'll take specialised modules in computing as well as public policy and politics. You'll also work on an independent project, with the supervision and support of experts in the field.
In the first semester, you'll gain essential programming and data analysis skills by taking modules that teach you the fundamentals of Python and R. You'll also gain insights into statistical modeling of data while developing crucial professional skills.
In the second semester, you'll continue to build on your knowledge by exploring core policy and political challenges while learning how to apply computational methods to tackle these problems and expand your technical skills.
Your project will provide an opportunity to understand how independent research is conducted and to apply your new skills in developing your project under the guidance of one of our experts.
By the end of the course, you'll have mastered a host of skills. You’ll be proficient in programming languages commonly used in data science (Python, R, and Power BI) and confident in the ethical and regulatory questions around the handling of data. You’ll understand how to use machine learning and algorithms to forecast future trends. You’ll understand how decisions are made at a political and policy level. And you’ll know how to influence those decisions by presenting your ideas in the most compelling way, including through advanced data visualisation techniques.
Compulsory Modules
Optional A Modules
(Credits: 20)Important Information
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
This interdisciplinary course combines expertise from two leading schools at the university, equipping you with a powerful blend of skills that are highly sought after in today's job market.
Based in the School of Politics, Philosophy and Area Studies, you'll develop critical analytical abilities through expert-led small group sessions and seminars. You'll gain specialised knowledge in public policy analysis, political systems, and governance frameworks that are directly applicable to roles in government, think tanks, and international organisations. The school's global connections provide valuable internships and travel opportunities that enhance your CV, while their practical approach ensures you can translate theoretical concepts into real-world solutions—a skill consistently demanded by employers.
In the School of Computing Science, you'll build technical proficiency through hands-on experience in our new 100-seater AI and Data Science lab. You'll master industry-standard programming in Python, develop data mining capabilities, and learn statistical analysis techniques that are essential qualifications for roles across public and private sectors. These technical skills, taught by specialists from our Data Science and AI Research Group, will enable you to analyse complex datasets to inform evidence-based policymaking—a combination that makes graduates particularly attractive to employers.
Your dissertation project serves as a professional portfolio piece, demonstrating your ability to independently define research questions, manage complex projects, and deliver actionable insights from data—precisely the skills employers seek in analysts, consultants, and policy advisors. Throughout the programme, you'll develop a versatile skillset that prepares you for careers in government departments, NGOs, international organisations, think tanks, or further academic research.
Assessment
Our assessment approach combines international best practices with practical skill development, designed to prepare you for data science and policy roles worldwide.
You'll engage with diverse evaluation methods that reflect global workplace expectations. These include hands-on programming assignments using universally recognised languages like Python, data analysis tasks involving international datasets, policy briefs addressing global challenges, and presentations tailored to diverse stakeholders. Collaborative assessments feature prominently across modules, developing the teamwork competencies essential in today's interconnected policy environments.
Each assessment is carefully crafted to build transferable skills valued by employers across continents—analytical reasoning, evidence-based problem-solving, and clear communication of complex ideas to non-technical audiences. These abilities are particularly valuable in international organisations, multinational corporations, and government agencies worldwide.
The dissertation will be a professional-grade research project that showcases your ability to apply data science methods to policy questions of global significance. Working with internationally recognised faculty, you'll develop a project proposal, conduct independent research, and present findings in formats recognised across sectors and borders. This learning experience allows you to demonstrate the integration of technical expertise with policy insight—a powerful combination that distinguishes our graduates in the global job market.
Throughout your studies, you'll build an international portfolio of work that demonstrates your ability to navigate complex data challenges while addressing policy questions relevant to diverse cultural, economic, and political contexts.
Employability
After the Course
Upon completing the MSc in Data Science for Public Policy and Politics, you'll be well-equipped to pursue diverse career paths in government, non-governmental organisations, and private sector roles. You'll have strong analytical skills, advanced data science techniques, and a deep understanding of political and social issues. Graduates will be competitive in seeking a variety of jobs where they can leverage their expertise to drive data-informed decision-making and contribute to meaningful societal benefits. Your ability to apply computational methods to real-world challenges will set you apart in the job market.
Careers
Examples of careers that you could enter include:
- Data Analyst
- Policy/Political Advisor
- Research Consultant
- Programme evaluator
- Digital Policy Analyst
- Digital Journalist
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2
Degree Subject
Humanities, Social Sciences, or Sciences.
Students without experience of quantitative approaches should take PPLX7023A: Data, Society and Politics in Optional Modules Range A.
- Additional Entry Requirements
This course is aimed at any students who is considering using statistics or data science to address political, public policy, or social issues. If you would like more information on meeting the entry requirements, please contact admissions for advice.
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2 or equivalent
Degree Subject
Humanities, Social Sciences, or Sciences.
Students without experience of quantitative approaches should take PPLX7023A: Data, Society and Politics in Optional Modules Range A.
- Additional Entry Requirements
This course is aimed at any students who is considering using statistics or data science to address political, public policy, or social issues. If you would like more information on meeting the entry requirements, please contact admissions for advice.
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
-
IELTS: 6.0 overall with minimum 5.5 in each component.
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within two years of the course start date.
If you do not meet the English language requirements for this course, our UEA International Study Centre offers a variety of English language programmes which are designed to help you develop the required English skills.
-
- UEA International Study Centre
If you do not meet the academic requirements for this course, you may be able to study the International Pre-Masters programme offered by our partner UEA International Study Centre. This programme guarantees progression to selected Master's degrees if students achieve the appropriate grade. For more details, please click here:
International Pre-Masters in Business, Economics and Social Sciences
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
Fees and Funding
Tuition fees for the Academic Year 2026/27 are:
-
UK Students: £12,350
-
International Students: £25,700
We estimate living expenses at £1,136 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
How to apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form.
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.