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Computational Social Science (SCS1)

Undergraduate (Level 8 NFQ, Credits 240)
Academic Year 2024/2025
Study Abroad
Scholarships Available
Sustainable Development Goals
Duration:
4 Year(s)
Next Intake:
2024/2025 September
General Entry Requirements (A-Level)

ABB / BBBD / BBB + D AS Level

General Entry Requirements (IB)

29

Subject Requirements (Mathematics)

GCSE C / AS Level D / A Level E

IB SL 4 / HL 3

Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.

Curricular information is subject to change.

Do you want to work for Google, Facebook or another company that deals with big data about individuals, social networks or social groups? The new BSc degree in Computational Social Science provides excellent employment opportunities in social media companies, but also in traditional sectors where the analysis of social and consumer data is ever more important. Strong analytical skills are combined with solid training in social sciences subjects such as Sociology, Politics, Economics or Geography. 

About this Course

Our social world is dramatically changing. We are all connected and leave digital footprints behind. Computational Social Science is about leveraging the power of big data, computer simulations and social networks to understand social phenomena and individual behaviour. The new BSc degree in Computational Social Science is at the forefront of this development in Europe. It provides a unique combination of training in social sciences subjects. You learn how to understand human social behaviour through data analysis, social simulation and mathematical modelling, providing crucial skills for a competitive job market.

Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.

Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.

Module ID Module Title Trimester Credits
Stage 1 Core Modules
     
COMP10010 Introduction to Programming I Autumn

5

CSOC10010 Introduction to Computational Social Science Autumn

5

MST10030 Linear Algebra I Spring

5

STAT10060 Statistical Modelling Spring

5

Stage 1 Core Modules
     
Stage 1 Options
     
GEOG10140 Mapping a Sustainable World Autumn

5

PHIL10160 Critical Thinking Autumn

5

SOC10110 Sociology of Crime & Deviance Autumn

5

PHIL10040 Introduction to Ethics Autumn and Spring (separate)

5

IS10040 Information, Society, and Culture Spring

5

IS10060 Digital Technology Spring

5

SOC10060 Ireland in Comparative Perspective Spring

5

Stage 1 Options
     
Stage 2 Core Modules
     
CSOC20010 Applied Computational Social Science Autumn

5

MST10010 Calculus I Autumn

5

STAT20200 Probability Autumn

5

COMP10020 Introduction to Programming II Spring

5

CSOC30030 Advanced Computational Social Science Spring

5

Stage 2 Core Modules
     
Stage 2 Options
     
COMP20070 Databases and Information Systems I Autumn

5

GEOG20220 Introduction to GIS for the Social Sciences Autumn

5

IS20010 Core Competencies for Digital Citizenship Autumn

5

IS20140 Exploring Text with Python Autumn

5

PHIL20490 Knowledge & Scepticism Autumn

5

PHIL20630 Art and Society Autumn

5

COMP20200 UNIX Programming Spring

5

COMP20280 Data Structures Spring

5

IS20030 Contextual Design Inquiry in Organisations Spring

5

IS20110 Social Media & Participation in an Online World Spring

5

IS20120 Computer-Mediated Communication Spring

5

MST20050 Linear Algebra II Spring

5

PHIL20020 Logic Spring

5

PHIL20240 Applied Ethics Spring

5

PHIL20640 Philosophy of Mind Spring

5

SOC20330 Sociology of Peace, Conflict & Justice Spring

5

Stage 2 Options
     
Stage 3 Options
     
COMP20020 Digital Systems Autumn

5

COMP20070 Databases and Information Systems I Autumn

5

COMP20110 Discrete Mathematics for Computer Science Autumn

5

COMP20250 Introduction to Java Autumn

5

COMP30030 Introduction to Artificial Intelligence Autumn

5

GEOG20220 Introduction to GIS for the Social Sciences Autumn

5

IS20010 Core Competencies for Digital Citizenship Autumn

5

IS20140 Exploring Text with Python Autumn

5

IS30020 Web Publishing Autumn

5

IS30050 Information Architecture: Designing the Web Autumn

5

IS30350 The Digital Self Autumn

5

IS30460 Gender, race and diversity in the digital age Autumn

10

PHIL20320 Philosophy of Science Autumn

5

PHIL20490 Knowledge & Scepticism Autumn

5

SSCI30050 Digital Research Skills for the Social Sciences Autumn

5

STAT20240 Predictive Analytics Autumn

5

STAT30010 Time Series Autumn

5

COMP20090 Introduction to Cognitive Science Spring

5

COMP20200 UNIX Programming Spring

5

COMP20280 Data Structures Spring

5

COMP20290 Algorithms Spring

5

COMP30110 Spatial Information Systems Spring

5

ENG32080 Social Networks in Fiction: from Jane Austen to Conan Doyle Spring

10

IS20110 Social Media & Participation in an Online World Spring

5

IS20120 Computer-Mediated Communication Spring

5

IS20130 Social Studies of ICTs Spring

5

IS30370 Digital Media Ethics (formerly Information Ethics) Spring

5

IS30380 Digital Storytelling Spring

5

IS30410 Web UX Evaluation Spring

10

IS30450 Artificial Intelligence Spring

5

IS30470 Technology and Human Rights Spring

5

IS30480 Digital Media & Climate Crisis Spring

5

MST20050 Linear Algebra II Spring

5

PHIL20020 Logic Spring

5

PHIL20240 Applied Ethics Spring

5

PHIL20640 Philosophy of Mind Spring

5

SOC30220 Science and Society Spring

5

SSCI20030 Building Resilience Spring

5

STAT20180 Introduction to Bayesian Analysis Spring

5

STAT30270 Statistical Machine Learning Spring

5

Stage 3 Options
     
Stage 4 Core Modules
     
POL30660 Data Analytics for Social Sciences Spring

10

SOC30380 Social Dynamics and Networks Spring

5

Stage 4 Core Modules
     
Stage 4 Options
     
COMP20070 Databases and Information Systems I Autumn

5

COMP20250 Introduction to Java Autumn

5

COMP30030 Introduction to Artificial Intelligence Autumn

5

IS30020 Web Publishing Autumn

5

IS30050 Information Architecture: Designing the Web Autumn

5

IS30350 The Digital Self Autumn

5

PHIL20490 Knowledge & Scepticism Autumn

5

STAT20240 Predictive Analytics Autumn

5

STAT30010 Time Series Autumn

5

COMP20200 UNIX Programming Spring

5

COMP30110 Spatial Information Systems Spring

5

CSOC30030 Advanced Computational Social Science Spring

5

GEOG30880 Projects in GIS Spring

5

IS20110 Social Media & Participation in an Online World Spring

5

IS20120 Computer-Mediated Communication Spring

5

IS20130 Social Studies of ICTs Spring

5

IS30370 Digital Media Ethics (formerly Information Ethics) Spring

5

IS30380 Digital Storytelling Spring

5

IS30450 Artificial Intelligence Spring

5

IS30470 Technology and Human Rights Spring

5

IS30480 Digital Media & Climate Crisis Spring

5

PHIL20640 Philosophy of Mind Spring

5

STAT20180 Introduction to Bayesian Analysis Spring

5

STAT30270 Statistical Machine Learning Spring

5

During the third year, we offer a study abroad trimester. Destinations include countries such as: Belgium, England, France, Italy, Netherlands, Norway, Spain, USA, Australia, China and South Korea, and the list is continuously expanding.

This degree is designed to prepare students for employment in companies such as Google or Facebook, but also for work in traditional sectors where the analysis of social data is becoming more and more important. Over the next few years, there will be an increasing demand for graduates who can combine social sciences training with analytical and programming skills. It also leads to a range of graduate study opportunities in social sciences, social data analytics, statistics or computer science.  

Non-EU Undergraduate Fee information can be found here.

UCD offers a number of competitive undergraduate scholarships for full-time, self-funding international students, holding an offer of a place on a UCD undergraduate degree programme. For information on Undergraduate Scholarships, please see the UCD International Scholarships webpage.

The following advice is for Non-EU applicants. For Irish/EU/UK students, please apply via MyUCD.

The following entry route(s) are available:
 
BSc Computational Social Science (SCS1)
Undergraduate Degree (Non EU)
Entry in Sep 2024
Full Time - Apply from Oct 2023 Apply

SDG4 SDG 8 SDG 9 SDG 10 SDG 11

 

The UCD College of Social Sciences and Law is a broad and diverse, but connected community of students and faculty who are committed to creating a more sustainable and equitable future for all. We work together in a culture of collaboration to support each other to thrive and achieve our full potential, in service of broader societal goals. Through our undergraduate and graduate education, research and external engagement, we aim to ensure that our students, faculty and staff thrive and contribute to sustainable well-being on our campus, in Ireland and across the wider world. Our faculty are globally recognized experts in their fields, advancing knowledge through research, engaging with government, business and civil society to enhance our world, and using their knowledge to design and offer cutting-edge education within their disciplines and across the disciplines of Archaeology, Economics, Geography, Information & Communication Studies, Philosophy, Politics & International Relations, Psychology, Social Policy Social Work & Social Justice, and Sociology. Our ambition is that our students will debate and engage with the greatest societal challenges of our time by becoming informed citizens who will play a leading role in shaping societies around the globe toward more sustainable futures.  

The Social Sciences degrees at UCD incorporate a diverse range of formal and informal learning opportunities for students, delivered by excellent researchers who are leading their fields globally, and embedding the UN’s sustainable development goals (SDG’s) in their educational activities where appropriate.

BSc Computational Social Science

Computational Social Sciences students learn about a field that harnesses the power of big data, computer simulations, machine learning and social network analysis to gain insights into social phenomena and individual behaviour. The unique combination of computational skills and training in social sciences subjects such as Sociology, Politics, Economics and Geography help students to positively contribute to addressing many of today’s global challenges including reducing inequalities and decent work and economic growth. 

  • Quality Education (SDG 4)
  • Decent work and economic growth (SDG 8)
  • Industry, innovation and infrastructure (SDG 9)
  • Reduce Inequalities (SDG 10)
  • Sustainable Cities and Communities (SDG 11)
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Computational Social Science (SCS1)

Undergraduate (Level 8 NFQ, Credits 240)