BSc hons Computational Social Science

at University College Dublin

First Year
 

The first year includes core modules in:
 

• Computational Social Science

• Programming

• Statistical Modeling and Linear Algebra

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:
 

• Probability Theory

• Programming

• Calculus

and modules in your two social sciences subjects, as well as options from a range of other subjects.
 

Third Year
 

The third year provides the opportunity for a trimester 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.

General Requirements

Standard XII
 

Central Board of Secondary Education (CBSE)
Council for the Indian School Certificate (CISCE)
 

Intermediate Exam (some state boards)
Higher/Senior School Certificate/Examination (most state boards)

English Language Requirements

CBSE/AISSCE/CUSCE/ISC - English Language 80% OR IELTS/TOEFL or equivalent
 

IELTS
 

• An average score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version. 

• In 2022 and 2023 we will accept IELTS indicator. It may not be recognised after that depending on the outcome of a review.

TOEFL (Test of English as a Foreign Language) 
 

• A minimum score of 90 is required in the Internet based TOEFL (iBT) with no less than 21 in writing and at least 19 in every other section.

• In 2022 and 2023 we will accept TOEFL Home Edition. . It may not be recognised after that depending on the outcome of a review.

Non-EU fees for academic year 2022/23 are:
 

• € 20500

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. It combines Sociology, Politics, Economics and Geography with a strong computational training.