MSc Demographic and Population Analytics

Academic Year 2019/2020

Graduate Taught (level 9 nfq, credits 90)

Graduate Taught (level 9 nfq, credits 90)

The MSc in Demographic and Population Analytics is the first of its kind in Ireland. The interdisciplinary programme provides students with an opportunity to study population issues in a research-led environment, with a focus on applying learning to real-world scenarios. Upon graduation, students will have the technical and substantive know-how to fill a large and important gap in an increasingly competitive global economy. They will offer the first cohort of demographers with expertise in population studies/demographic analysis, which is at the core of future public policy and planning.

The study of the population processes that shape our society requires a unique skill set. Demography is a pathway to understand core dynamics that define contemporary debates about mortality, ageing, health, migration and fertility.

The MSc in Demographic and Population Analytics, which is a one year full time or two years part time programme, is unique in Ireland. By definition the curriculum is interdisciplinary, bridging sociology, social policy, health and geography to comprehensively offer insight into the concepts, research and data analysis that demographically define us.

This programme stands apart in Ireland and internationally, defining a new generation of population scientists. Bridging the technical and theoretical, you will learn to analyse population trends using the an advanced technical (R programming and GIS), theoretical and substantive toolkit. You will graduate with the technical skills, substantive foundation and unique expertise to enter the private or public sector in capacities ranging from demographic analysis to data-driven research in public policy, digital media and survey-based marketing. In addition, demography offers a bridge to further academic work in cognate disciplines such as economics, sociology, social policy and public health.

Careers & Employability

Non-profit and voluntary organisations, private commercial organisations, local and national government, for example: health care companies, consultants, NGOs, research institutions, and news organisations, employ people with skills, knowledge and expertise to understand and research the relationship between, population, demographics, geography, environment, health, housing and policy. 

Curricular information is subject to change


Full Time option suitable for:

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

This programme is, by defintion, interdisciplinary and benefits from students who bring with them a wide variety of backgrounds.  The training will offer a clear and structured pathways into technical aspects of population and demographic analysis.  There is no assumption that a student will have expereience in all or most of the subject areas (and software) used during the completion of the course.

  • This programme is intended for applicants who hold a primary degree in a relevant discipline, including political science, social policy, geography, sociology, economics, mathematics, statistics, development studies, business, finance, marketing, public health, psychology and computer science.
  • An upper second class honours degree (2H1), or the overseas equivalent is required
  • Applicants whose first language is not English must also demonstrate English language proficiency of
  • IELTS 6.5 (no band less than 6.0 in each element), or equivalent.

The study of the population processes that shape our society requires a unique skill set.  The MSc in Demographic and Population Analytics is unique in Ireland, offering comprehensive training via a one-year full time or two-year part time course of study.  This course of study reveals the dynamics that have come to define contemporary debates about the environment, mortality, ageing, health, migration and fertility.  The curriculum reflects the interdisciplinary reality of demographic and population science, bridging sociology, geography, health and social policy.   This programme stands apart in Ireland and internationally, defining a new generation of population scientists who are technically and theoretically equipped to confront an increasingly dynamic world.

Building upon (1) a solid foundation in data analytics, (2) a comprehensive overview of contemporary demographic and population theories/trends and (3) a robust exploration of geographically-rooted population dynamics, students engage with debates ranging from population growth to immigration, from mortality to healthcare provision.  Graduates offer the technical skills, substantive foundation and expertise to engage in contemporary, data-driven demographic analysis. In addition to clear pathways into the public (e.g., policy) and private (e.g., marketing) sectors, the MSc in Demographic and Population Analytics offers a bridge to further academic work in cognate disciplines such as geography, sociology, economics, social policy and public health.

This programmes provide a multi-disciplinary educational environment to broaden your knowledge and understanding of population dynamics within a global context,  the implications of demographic change for public policy nationally and internationally, the application of demographic analysis within an interdisciplinary context.

  • Demonstrate their ability to understand and apply key theoretical and technical approaches to understanding population dynamics.
  • Demonstrate via application knowledge of R programming language for demographic and population analytics.
  • Demonstrate an ability to conduct independent and innovative research via a minor dissertation. This includes accounting for ethical considerations and is geared toward a coherent process of professionalisation.

View All Modules Here

*Module information is also available in a downloadable brochure (link).

Core Modules

Demographic Analytics: Theory and Applications (Term 1: 10 Credits)

Population Geography (Term 2: 10 Credits)

Data Programming with R (Term 1: 5 Credit)

Statistics and Probability (Term 2: 5 credits)

Research Design (Term 1; 5 credits)

Demography Thesis (Term 3: 30 Credits)


Optional Modules

Applied GIS

Dynamic Social Networks

Geographies of the Global South

Global Migration

Asylum and Refugee: Law, Politics and Rights

Gender, Peace and Conflict

[Must be taken together as part of the health concentration]

Health Economics (5 credits)

Health Risk, Perception and Communication (5 credits)

[Must be taken together as part of the spatial concentration]

Information Visualisation

Spatial Information Systems

MSc Demographic and Population Analytics (W400) Full Time
EU          fee per year - € 8225
nonEU    fee per year - € 19200

***Fees are subject to change

EU Fee €7870 FT or  €5120 PT

Non-EU Fee €18300 FT or €9150 PT 

***Fees are subject to change

Please note that UCD offers a number of graduate scholarships for full-time, self-funding international students, holding an offer of a place on a UCD graduate degree programme. For further information please see International Scholarships.

2019 - 2020 this programme offers two 50% EU fee only scholarships to the students who are fully registered on the programme. For further details, please contact demography@ucd.ie

The following entry routes are available:

Who teaches/coordinates the modules for this programme?

This programme includes three award-winning module coordinators (Arlene Crampsie, Thomas Grund and Mathew Creighton).  Each have either won a teaching excellence award for the College of Social Science and Law or for University.  Follw the links to read more.

Who directs this programme?

Arlene Crampsie (School of Geography) and Mathew Creighton (School of Sociology) co-direct the programme, which reflects the interdisciplinary nature of demographic and population studies.

Do I need to know how to programme?

No.  The progamme is structured to offer a systematic, comprehensive and accessible trainingin any computer programme used (e.g., R, ArcGIS, etc..).