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University College Dublin: Politics & Data Science
| Institution | University College Dublin View institution profile |
|---|---|
| Department | UCD School of Politics and International Relations |
| Web | www.ucd.ie/global |
| internationalenquiries@ucd.ie | |
| Telephone | +353 1 716 8500 |
| Study type | Taught |
GradDip
Summary
The explosion of online and social media, the proliferation of digitized information, and improved electronic access to political decision-making processes provide new opportunities to study existing and emerging political processes in various democratic and non-democratic political regimes. The simultaneous development of cutting-edge data science methods to study digital text, audio, and video provide the tools we need to take advantage of these opportunities. The GradDipPolitics and Data Science is designed to equip students with the theoretical knowledge and methodological skills necessary to examine and understand politics in the digital age.
The GradDipPolitics and Data Science programme is organised around two streams of study. The first stream grounds students with backgrounds in political science and related social sciences in data science methods. The second stream is geared towards students with computer science or related technical backgrounds, teaching them about research design and theories in political science.
Apart from the three core modules in the Social Science Background stream, students can select three modules that best fit their interest. Apart from the core module and the core optional module in the Technical Background stream, students select four modules that best fit their interest. These modules can either revolve around methods needed to study digital and digitised politics, such as programming and machine learning, quantitative text analysis, statistics, and experimental methods. Or they can be modules relating to comparative politics, international relations, political violence, political economy, and related fields that the School of Politics and International Relations has strengths in.
The programme thus provides a thorough grounding in political science and its sub-disciplines, and in-depth training in the empirical methods necessary to study important questions emerging in these areas of study. It is specifically aimed towards students who want a cutting-edge training in politics and data science but who are less interested in writing a master’s thesis.
Graduates from this programme will be ideally equipped for careers in a large and varied set of employment sectors. The combination of a solid understanding of social science theory and the technical ability to apply advanced data-science approaches to answer questions of political and societal relevance, makes our graduates a unique addition to any data science team.
Potential future employers include:
Government International Organisations (EU, UN, WTO, World Bank) Non-Government Organisations Not-for-profit sector Corporate Sector Tech industry Think tanks
Political Advisor Social Data Specialist Data Manager Chief Information Officer Social Science PhD candidate
| Level | NFQ Level 9 |
|---|---|
| Entry requirements | Good undergraduate degree (2.1 or equivalent, or 2.2 or equivalent with relevant work experience) in political science or related social science, or in computer science, statistics, or related discipline. Because of the streaming of the module structure of the program, we can accommodate students with a social science as well as students with a more technical background. Your application will be considered on its individual merits and relevant professional experience will also be taken into account. English language requirements: applicants whose first language is not English should have met TOEFL, IELTs, or computer-based TOEFL requirements (600, 6.5, or 250 respectively), or the Cambridge English Test (Certificate in Advanced English at a minimum of Grade B, or Certificate of Proficiency in English at Grade C). Applicants who obtained a previous degree from an English-speaking university may be exempted from this requirement. |
Fees
| EU | 7440 Euros for per year |
|---|---|
| Non EU | 14350 Euros for per year |
Summary
The explosion of online and social media, the proliferation of digitized information, and improved electronic access to political decision-making processes provide new opportunities to study existing and emerging political processes in various democratic and non-democratic political regimes. The simultaneous development of cutting-edge data science methods to study digital text, audio, and video provide the tools we need to take advantage of these opportunities. The GradDipPolitics and Data Science is designed to equip students with the theoretical knowledge and methodological skills necessary to examine and understand politics in the digital age.
The GradDipPolitics and Data Science programme is organised around two streams of study. The first stream grounds students with backgrounds in political science and related social sciences in data science methods. The second stream is geared towards students with computer science or related technical backgrounds, teaching them about research design and theories in political science.
Apart from the three core modules in the Social Science Background stream, students can select three modules that best fit their interest. Apart from the core module and the core optional module in the Technical Background stream, students select four modules that best fit their interest. These modules can either revolve around methods needed to study digital and digitised politics, such as programming and machine learning, quantitative text analysis, statistics, and experimental methods. Or they can be modules relating to comparative politics, international relations, political violence, political economy, and related fields that the School of Politics and International Relations has strengths in.
The programme thus provides a thorough grounding in political science and its sub-disciplines, and in-depth training in the empirical methods necessary to study important questions emerging in these areas of study. It is specifically aimed towards students who want a cutting-edge training in politics and data science but who are less interested in writing a master’s thesis.
Graduates from this programme will be ideally equipped for careers in a large and varied set of employment sectors. The combination of a solid understanding of social science theory and the technical ability to apply advanced data-science approaches to answer questions of political and societal relevance, makes our graduates a unique addition to any data science team.
Potential future employers include:
Government International Organisations (EU, UN, WTO, World Bank) Non-Government Organisations Not-for-profit sector Corporate Sector Tech industry Think tanks
Political Advisor Social Data Specialist Data Manager Chief Information Officer Social Science PhD candidate
| Level | NFQ Level 9 |
|---|---|
| Entry requirements | Good undergraduate degree (2.1 or equivalent, or 2.2 or equivalent with relevant work experience) in political science or related social science, or in computer science, statistics, or related discipline. Because of the streaming of the module structure of the program, we can accommodate students with a social science as well as students with a more technical background. Your application will be considered on its individual merits and relevant professional experience will also be taken into account. English language requirements: applicants whose first language is not English should have met TOEFL, IELTs, or computer-based TOEFL requirements (600, 6.5, or 250 respectively), or the Cambridge English Test (Certificate in Advanced English at a minimum of Grade B, or Certificate of Proficiency in English at Grade C). Applicants who obtained a previous degree from an English-speaking university may be exempted from this requirement. |
Fees
| EU | 4920 Euros for per year |
|---|---|
| Non EU | 7180 Euros for per year |
MSc
Summary
The explosion of online and social media, the proliferation of digitized information, and improved electronic access to political decision-making processes provide new opportunities to study existing and emerging political processes in various democratic and non-democratic political regimes. The simultaneous development of cutting-edge data science methods to study digital text, audio, and video provide the tools we need to take advantage of these opportunities. The MSc Politics and Data Science is designed to equip students with the theoretical knowledge and methodological skills necessary to examine and understand politics in the digital age.
The MSc Politics and Data Science programme is organised around two streams of study. The first stream grounds students with backgrounds in political science and related social sciences in data science methods. The second stream is geared towards students with computer science or related technical backgrounds, teaching them about research design and theories in political science.
Apart from the three core modules in the Social Science Background stream, students can select three modules that best fit their interest. Apart from the core module and the core optional module in the Technical Background stream, students select four modules that best fit their interest. These modules can either revolve around methods needed to study digital and digitised politics, such as programming and machine learning, quantitative text analysis, statistics, and experimental methods. Or they can be modules relating to comparative politics, international relations, political violence, political economy, and related fields that the School of Politics and International Relations has strengths in.
The programme thus provides a thorough grounding in political science and its sub-disciplines, and in-depth training in the empirical methods necessary to study important questions emerging in these areas of study.
Graduates from this programme will be ideally equipped for careers in a large and varied set of employment sectors. The combination of a solid understanding of social science theory and the technical ability to apply advanced data-science approaches to answer questions of political and societal relevance, makes our graduates a unique addition to any data science team. Furthermore, graduates will be well-positioned to apply for quantitative social science PhD programmes with the aim of pursuing an academic career.
Potential future employers include:
Government International Organisations (EU, UN, WTO, World Bank) Non-Government Organisations Not-for-profit sector Corporate Sector Tech industry Think tanks
Potential roles include:
Political Advisor Social Data Specialist Data Manager Chief Information Officer Social Science PhD candidate
| Level | NFQ Level 9 |
|---|---|
| Entry requirements | Good undergraduate degree (2.1 or equivalent) in political science or related social science, or in computer science, statistics, or related discipline. Because of the streaming of the module structure of the program, we can accommodate students with a social science as well as students with a more technical background. Your application will be considered on its individual merits and relevant professional experience will also be taken into account. English language requirements: applicants whose first language is not English should have met TOEFL, IELTs, or computer-based TOEFL requirements (600, 6.5, or 250 respectively), or the Cambridge English Test (Certificate in Advanced English at a minimum of Grade B, or Certificate of Proficiency in English at Grade C). Applicants who obtained a previous degree from an English-speaking university may be exempted from this requirement. |
Fees
| EU | 9310 Euros for per year |
|---|---|
| Non EU | 21520 Euros for per year |
Summary
The explosion of online and social media, the proliferation of digitized information, and improved electronic access to political decision-making processes provide new opportunities to study existing and emerging political processes in various democratic and non-democratic political regimes. The simultaneous development of cutting-edge data science methods to study digital text, audio, and video provide the tools we need to take advantage of these opportunities. The MSc Politics and Data Science is designed to equip students with the theoretical knowledge and methodological skills necessary to examine and understand politics in the digital age.
The MSc Politics and Data Science programme is organised around two streams of study. The first stream grounds students with backgrounds in political science and related social sciences in data science methods. The second stream is geared towards students with computer science or related technical backgrounds, teaching them about research design and theories in political science.
Apart from the three core modules in the Social Science Background stream, students can select three modules that best fit their interest. Apart from the core module and the core optional module in the Technical Background stream, students select four modules that best fit their interest. These modules can either revolve around methods needed to study digital and digitised politics, such as programming and machine learning, quantitative text analysis, statistics, and experimental methods. Or they can be modules relating to comparative politics, international relations, political violence, political economy, and related fields that the School of Politics and International Relations has strengths in.
The programme thus provides a thorough grounding in political science and its sub-disciplines, and in-depth training in the empirical methods necessary to study important questions emerging in these areas of study.
Graduates from this programme will be ideally equipped for careers in a large and varied set of employment sectors. The combination of a solid understanding of social science theory and the technical ability to apply advanced data-science approaches to answer questions of political and societal relevance, makes our graduates a unique addition to any data science team. Furthermore, graduates will be well-positioned to apply for quantitative social science PhD programmes with the aim of pursuing an academic career.
Potential future employers include:
Government International Organisations (EU, UN, WTO, World Bank) Non-Government Organisations Not-for-profit sector Corporate Sector Tech industry Think tanks
Potential roles include:
Political Advisor Social Data Specialist Data Manager Chief Information Officer Social Science PhD candidate
| Level | NFQ Level 9 |
|---|---|
| Entry requirements | Good undergraduate degree (2.1 or equivalent) in political science or related social science, or in computer science, statistics, or related discipline. Because of the streaming of the module structure of the program, we can accommodate students with a social science as well as students with a more technical background. Your application will be considered on its individual merits and relevant professional experience will also be taken into account. English language requirements: applicants whose first language is not English should have met TOEFL, IELTs, or computer-based TOEFL requirements (600, 6.5, or 250 respectively), or the Cambridge English Test (Certificate in Advanced English at a minimum of Grade B, or Certificate of Proficiency in English at Grade C). Applicants who obtained a previous degree from an English-speaking university may be exempted from this requirement. |
Fees
| EU | 6110 Euros for per year |
|---|---|
| Non EU | 10760 Euros for per year |
Why UCD?
University College Dublin is one of Europe’s leading research-intensive universities.
Rankings
- UCD has now moved up to 118th globally overall
- 49th in Sustainability globally, 1st in Ireland
- Four subjects ranked in the top-50 globally are Veterinary Science (33), Petroleum Engineering (34), English Language & Literature (41), and Nursing (44).
- There were nine subjects at UCD also ranked between 51 -100 by QS, these were Agriculture & Forestry; Anatomy and Physiology; Archaeology; History; Library Management; Performing Arts; Philosophy; Social Policy and Administration; and Sports Related Subject
UCD, Ireland’s Global …
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