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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 two required core modules in each stream, all students can select four optional modules that best fit their interests. 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.

Careers & Employability

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

Potential roles include

  • Political Advisor
  • Social Data Specialist
  • Data Manager
  • Chief Information Officer
  • Social Science PhD candidate

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UCD College of Social Sciences and Law

ตัวเลือกคอร์ส

เต็มเวลา (9 เดือน)

ค่าเรียน
€13,270.00 (฿ 497,839) ต่อปี

นี่เป็นตัวเลขโดยเฉลี่ย กรุณาติดต่อสถาบันเพื่อเชคความถูกต้อง

เริ่มเรียน

ประมาณ กันยายน 2021

สถานที่

UCD College of Social Sciences and Law

Room D104, Newman,

BELFIELD,

Dublin,

Republic of Ireland

ข้อกำหนดในการสมัคร

สำหรับนักเรียนไทย

Students must have An upper second class honours degree, or the international equivalent. English language requirements: IELTS - An average score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version; A minimum score of 600 in the paper-based Test of English as a Foreign Language (TOEFL PBT), with Test of Written English at 475 +, a minimum score of 90 is required in the Internet based TOEFL (IBT); Pearson English Language Text: Minimum of 63 and at least 59 for each item in the Communicative Skills section.

สำหรับนักเรียนนานาชาติ

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.

กรุณาเช็คระดับ IELTSของคอร์ส ที่คุณต้องการสมัครให้ถูกต้อง

ชอบมหาวิทยาลัยนี้

ข้อมูลน่าสนใจ University College Dublin

มีชื่อเสียงด้านความเป็นเลิศในการสอนและการวิจัย และสามารถเข้าถึงได้ทั่วโลก UCD เป็นจุดหมายปลายทางของนักศึกษานานาชาติกว่า 8,000 คน

  • วิทยาเขตหลักใน Belfield ห่างจากใจกลางเมือง Dublin เพียง 4 กม.
  • อันดับที่ 185 ของมหาวิทยาลัยที่ดีที่สุดในโลก
  • ได้รับการยอมรับทั่วโลกในเรื่องการเรียนการสอนที่ยอดเยี่ยม
  • ทุนการศึกษาสำหรับนักศึกษานานาชาติ