Economics & Data Analytics
Data insights are now a crucial part of the modern economy, influencing decision-making in both industry and government. As a result, the way that businesses, consumers, employees, and interest groups interact and make choices has changed. A new, influential economic sector has emerged, where companies collect large amounts of data and use it to create tools that enhance and simplify people's lives while also generating significant profits through targeted advertisements and subscription services. The MSc in Economics and Data Analytics is a programme designed for those who want to gain the in-demand skills needed to succeed in today's job market.
The programme is a great option for anyone interested in understanding how data can be used to understand the economy and drive business decisions. Learning from top economists and statisticians, in a blended programme with both online and in-person modules in small class sizes, this programme provides hands-on experience through workshops and projects. Plus, there are opportunities to connect with industry professionals and be a part of the school community through research seminars and more.
Jointly offered by the UCD School of Economics and the UCD School of  Mathematics and Statistics
Combines knowledge of human behaviour and decision-making from economics with the latest data analytics techniques, such as Data Programming, Machine Learning, and Bayesian Analysis.
UCD is Ireland's global university: with almost 10,000 international students making up 25% of the student body, and a further 5,000 overseas
Subjects taught
Module	 	Trimester	Credits
Stage 1 Core Modules
ECON41820	Econometrics	Autumn	 5
ECON41840	Microeconomics	Autumn	 5
ECON42550	Macroeconomics	Autumn	 5
ECON42620	Maths & Stats	Autumn	 5
STAT40720	Introduction to Data Analytics (Online)	Autumn	 5
ECON42300	Research & Career Skills 2	Spring	 5
Stage 1 Options - A) Min 5CR:
Data Analytics & Econometrics: Students must select a MINIMUM of 1 of these modules.
STAT40820	Monte Carlo (online)	Autumn	 5
COMP40725	Introduction to Relational Databases and SQL Programming	Spring	 10
ECON42700	Advanced Econometrics: Microeconometrics	Spring	 5
ECON42710	
Advanced Econometrics: Time Series	Spring	 5
ECON42720	Causal Inference & Policy Evaluation	Spring	 5
GEOG41060	Geostatistics and Programming for GIS	Spring	 10
POL42050	Quantitative Text Analysis	Spring	 10
STAT30280	Inference for Data Analytics (online)	Spring	 5
STAT40750	Statistical Machine Learning (online)	Spring	 5
STAT40850	Bayesian Analysis (online)	Spring	 5
Stage 1 Options - B) Min 5CR:
Economics: Students must select a MINIMUM of 1 of these modules
ECON41620	Advanced Macroeconomics	Spring	 5
ECON41810	Advanced Microeconomics	Spring	 5
ECON42190	Health and Welfare Economics	Spring	 5
ECON42360	Energy Economics and Policy	Spring	 5
ECON42570	Behavioural E'mics:Policy App	Spring	 5
ECON42610	Aviation Economics	Spring	 5
ECON42630	Decision Theory	Spring	 5
ECON42730	Global Economic History	Spring	 5
ECON42740	The Economics of Banking & Financial Stability	Spring	 5
ECON42750	Evaluation Methods for Health Economics	Spring	 5
Stage 1 Options - C)1 of:
Students must select one module.
ECON42200	Economics Internship	Autumn and Summer (separate)	 30
ECON40090	Thesis	Summer	 30
Stage 1 Options - D)1 of:
Students MUST select one of the following modules
STAT30340	Data Programming with R	Autumn	 5
STAT40730	Data Programming with R (Online)	Autumn	 5
Entry requirements
A NFQ Level 8 primary degree with at least an upper second class honours or international equivalent in Economics or in a degree in which Economics is a major component.
An upper second class honours in a Higher Diploma in Economics or in the MSc Qualifier.
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.
Students meeting the programme’s academic entry requirements but not the  English language requirements, may enter the programme upon  successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes. Please see the following link for further information http://www.ucd.ie/alc/programmes/pathways/
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://tinyurl.com/2ae2ffax
Duration
W564: 1 Years Full Time 
W565: 2 Years Part Time
Enrolment dates
Commencing September 2025
Post Course Info
This programme prepares graduates for a wide range of highly in-demand career paths. Data analytics is at the forefront of the modern economy, and by completing the MSc in Economics and Data Analytics, you'll be equipped with the skills and knowledge to succeed in the competitive job market of today and tomorrow. Graduates from related programmes, such as the MSc in Economics and the MSc in Data Analytics, have gone on to successful careers in industries like tech, finance, and consulting. Others have landed positions at public institutions like central banks, ministries, and research institutes, or continued their studies with PhD programs in economics or statistics.
More details
- Qualification letters - MSc 
- Qualifications - Degree - Masters (Level 9 NFQ) 
- Attendance type - Full time,Part time,Daytime 
- Apply to - Course provider 
