Computational Social Science

Course Information

BSc (Hons) (NFQ Level 8)

Undergraduate Full Time

CAO Code: DN700
CAO Points Range 2018: 392
Length of Course: 4 Years
Average Intake: 500

Leaving Certificate:

O6/H7 in English, Irish, Mathematics and three other recognised subjects

If you obtain less than H4 in Leaving Certificate mathematics, you must pass a “Level 0” UCD mathematics module in semester 1

Other school leaving examinations


Level 5/6 QQI-FET


Mature Entry Route


Why is this course for me?

Do you want to work for companies like Google or Facebook or a Public-Sector organisation that deals with big data about individuals, social networks or social groups?

Career & Graduate Study Opportunities

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.

What Will I Study

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.

First Year

The first year includes core modules in:

  • Computational Social Science
  • Programming
  • Mathematics and Statistics.

In addition, students choose two social sciences subjects from:

  • Sociology
  • Politics
  • Economics
  • Geography
  • Plus an Elective module.

Second Year

The second year includes further courses in:

  • Computational Social Science
  • Programming
  • Mathematics and Statistics
  • modules in your two social sciences subjects
  • electives from a range of other subjects
  • plus Elective modules

Third Year

The third year provides the opportunity for a semester abroad at another leading university in Computational Social Science and internship with an industry partner.

Fourth Year

The fourth year includes an interdisciplinary workshop and an individual capstone project with industry partners, in addition to modules that will strengthen and consolidate learning in key areas of Computational Social Science.


Students usually attend lectures and participate in seminar discussions and lab tutorials. Assessment is based on assignments throughout the semester, small group work, individual reports, traditional exams and other forms of assessment.

For detailed information on subject content click here.

International Study Opportunities

During the third year, we offer a study abroad semester. Destinations include countries such as:

  • Belgium
  • England
  • France
  • Italy
  • Netherlands
  • Norway
  • Sweden
  • Spain
  • USA
  • Australia
  • China and South Korea, and the list is continuously expanding.


“Computational Social Science allows me to combine my curiosity about society with training in analytical skills and offers excellent employment opportunities.The skills in advanced statistical modelling I’ve received in the programme are invaluable in the age of big data, social media and the internet of things. Everything and everyone is increasingly connected through the internet. Computational Social Science has helped pave the way for a highly rewarding career. I’m so glad I took a step and filled out the application.”

Travis Tatum PhD student in Computational Social Science

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