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Quantitative & Computational Social Science

PhD (NFQ Level 10)

This course is available through the following application route(s)

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About This Course

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 Type Module   Trimester Credits
Stage 1 Core Modules
POL50220 Social Science Methodology  10
Stage 1 Options - A) Min 1 of:
Students must also take at least one of the following three modules in Stage 1:
ECON50580 PhD Econometrics 2  10
Stage 1 Options - A) Min 1 of:
Students must also take at least one of the following three modules in Stage 1:
POL42050 Quantitative Text Analysis  10
Stage 1 Options - A) Min 1 of:
Students must also take at least one of the following three modules in Stage 1:
SOC40640 Social Simulation: Methods and Models  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ACM40290 Numerical Algorithms  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
COMP40610 Information Visualisation  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
COMP40730 High Performance Computing  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
COMP41680 Data Science in Python  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
COMP47470 Big Data Programming  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
COMP47670 Data Science in Python (MD)  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
ECON42720 Causal Inference & Policy Evaluation  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
IS41510 Social Networks Online and Off  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
PLAN40220 Geographical Information Systems for Policy and Planning  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
POL42070 Politics of (mis-)information  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
POL42340 Programming for Soc Scientists  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SOC30380 Social Dynamics and Networks  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SOC40640 Social Simulation: Methods and Models  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SOC41070 Sociological Thinking in the Digital Age  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
SOC41130 AI and Society  10
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT30270 Statistical Machine Learning  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40150 Multivariate Analysis  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40400 Monte Carlo Inference  5
Stage 1 Options - B) Min 0 of:
In addition, students must take at least three option modules from the list below, totalling to at least 15 credits. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website.
STAT40680 Stochastic Models  5

PhD Quantitative & Computational Social Science (W542) Full Time
EU          fee per year - € 7130
nonEU    fee per year - € 13730

PhD Quantitative & Computational Social Science (W542) Full Time
EU          fee per year - € 7130
nonEU    fee per year - € 13730

PhD Quantitative & Computational Social Science (W543) Part Time
EU          fee per year - € 4710
EU          fee per year - € 4710
nonEU    fee per year - € 9200
nonEU    fee per year - € 9200

***Fees are subject to change

Full Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants currently residing outside of the EEA Region. Yes


General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Quantitative & Computational Social Science:

ROWCLASS Apply to   Application Type  

Currently, there are no forthcoming intakes for this course that are open for application

* you can change options at the top of the page