Urban Data Analytics
The urban environments in Ireland and beyond are increasingly experiencing issues with housing, traffic, pollution, and reaching climate neutrality. Cities are currently struggling to develop coherent plans on how to address many of these challenges in-part because of the lack of relevant inter- and trans- disciplinary skills with urban researchers.
The MSc in Urban Data Analytics aims to provide you with this inter- and transdisciplinary knowledge to become part of the new generation of skilled workforce to work with urban communities facing diverse issues.
Students will take modules in the School of Geography that will focus on algorithms and data analysis approaches and modules in the School of Architecture, Planning & Environmental Policy that are dedicated to training you to work with communities. This multidisciplinary education will provide you with the toolkit to help urban communities tackle their diverse issues.
Subjects taught
Stage 1 Core Modules
GEOG41090 Urban Data Analytics Autumn 10
PLAN40670 Smart climate neutral cities Autumn 10
GEOG41060 Geostatistics and Programming for GIS Spring 10
Stage 1 Options - A)1 of:
Students who choose GEOG41140 must also register to GEOG40390 from the option list below.
GEOG41140 Dissertation 2 Trimester duration (Spr-Sum) 35
GEOG41080 Research Project Summer 20
Stage 1 Options - B) Min 25CR:
Choose 25 or 40 credits
ARCT41260 Climate Carbon Cities Change Autumn 5
COMP40370 Data Mining Autumn 5
COMP40730 High Performance Computing Autumn 10
GEOG40390 Research Design Autumn 5
GEOG40860 Practical Environmental Assessment Autumn 10
GEOG41160 Python for GIS Autumn 10
GEOG41170 Citizen Science Autumn 10
COMP47470 Big Data Programming Autumn and Spring (separate) 5
ARCT41240 Urban Resilience and Ethics Spring 5
COMP40725 Introduction to Relational Databases and SQL Programming Spring 10
GEOG40870 Advanced GIS Applications Spring 10
GEOG40890 Remote Sensing Spring 10
GEOG41150 GIS for Environmental Health Spring 10
GEOG41210 GIS for Decision-Making Spring 10
PLAN40390 Sustainable Cities Spring 10
PLAN40650 Healthy and Sust. Communities Spring 10
GEOG41130 Critical Reviews of GIS Summer 10
GEOG41220 Critical Reviews of GIS Summer 5
Entry requirements
Applicants should have a minimum of an upper second class honours (2:1) degree or international equivalent at bachelors level.
Relevant professional or voluntary experience may be considered as part of the application process.
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.
Applicants should have basic computer skills.
You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage. https://www.ucd.ie/registry/prospectivestudents/admissions/rpl/
Application dates
Apply online.
Who Should Apply?
Full Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes
Part Time option suitable for:
Domestic(EEA) applicants: Yes
International (Non EEA) applicants: No
Duration
1/2 years, FT/PT, On Campus.
Enrolment dates
W601 MSc Urban Data Analytics Master of Science Full-Time Commencing September 2026 Graduate Taught
W602 Urban Data Analytics Master of Science Part-Time Commencing September 2026 Graduate Taught
Post Course Info
This program will provide you with practical and applied data analytic abilities as well as a range of academic and transferable skills that will be a benefit in many careers.
Graduates of this programme may progress to doctoral study or to careers in:
•Environmental and planning consultancies
•Governmental departments and local authorities (e.g. Dublin City Council)
•State and semi-state agencies (e.g. Central Statistics Office, Environmental Protection Agency)
•Industry (e.g. ESRI, Google)
•Think tanks, research bodies and consultancies (e.g. KPMG)
More details
Qualification letters
MSc
Qualifications
Degree - Masters (Level 9 NFQ)
Attendance type
Full time,Daytime,Part time
Apply to
Course provider
