MSc Economics & Data Analytics
Dublin, Ireland
DURATION
1 up to 2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 22,600 / per year *
STUDY FORMAT
On-Campus
* full time non-EU fee per year - € 22600; EU fee per year - € 12810 | part time non-EU fee per year - € 11300; EU fee per year - € 7880
Introduction
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.
For economists, these developments in the economy are both exciting and challenging. The significant changes in the economy present opportunities for new research and the need for fresh perspectives on the functioning, design, and regulation of markets. However, the rise of the data-driven economy also presents a challenge to economists, as the traditional tools of microeconomics, macroeconomics, and econometrics may not be sufficient to fully grasp and comprehend how the new economy functions.
What is more, the data-driven economy of the present requires a diverse skill set from our graduates. It is expected that graduates have state-of-the-art data analytics skills as well as a strong foundation in economic principles. In nearly any role within these sectors, these skills are necessary for success.
The MSc in Economics and Data Analytics is a program designed for those who want to gain the in-demand skills needed in today's job market. This program, jointly offered by the UCD School of Economics and the UCD School of Mathematics and Statistics, combines knowledge of human behavior and decision-making from economics with the latest data analytics techniques, such as Data Programming, Machine Learning, and Bayesian Analysis.
You can choose to study full-time or part-time and will receive a strong foundation in both economics and data analytics through core courses. You'll learn from top economists and statisticians, in a blended program that has both online and in-person modules in small class sizes, and get hands-on experience through workshops and projects. Plus, you'll have opportunities to connect with industry professionals and be a part of the school community through research seminars and more. The program will help prepare you for a variety of exciting career paths, including graduate studies. In the spring semester, you'll have the choice to select from a variety of elective courses in data analytics, econometrics, and economics. Graduates of this program will be well-prepared for exciting career opportunities in tech, consulting, NGOs or government, and even doctoral studies in economics.
Vision and Values Statement
The MSc in Economics and Data Analytics is a joint program from UCD's School of Economics and the School of Mathematics and Statistics. It's a great option for anyone interested in understanding how data can be used to understand the economy and drive business decisions. You'll learn from top economists and statisticians, in small class sizes, and get hands-on experience through workshops and projects. Plus, you'll have opportunities to connect with industry professionals and be a part of the school community through research seminars and more. The program will help prepare you for a variety of exciting career paths, including graduate studies.
Ideal Students
Who should apply?
Full-Time option suitable for:
- Domestic(EEA) applicants: Yes
- International (Non-EEA) applicants currently residing outside of the EEA Region. Yes
Part-Time option suitable for:
- Domestic(EEA) applicants: Yes
- International (Non-EEA) applicants currently residing outside of the EEA Region. No
Admissions
Scholarships and Funding
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 contact our Admissions team!
Curriculum
What modules can I take?
This is a 90-credit taught combined learning MSc, with the Data Analytics modules taken online
Autumn Trimester
In the Autumn trimester, you will undertake a two-week foundational course in mathematics and statistics. You will also take the following modules:
- Microeconomics
- Macroeconomics
- Data Programming with R
- Introduction to Data Analytics
- Econometrics
Spring Trimester
In the Spring trimester, you take the core module Research and Career Skills, and choose modules worth 25 credits from (at least one from each block):
- Block I: Data Analytics and Econometrics
- Advanced Econometrics: Micro
- Causal Inference and Policy Evaluation
- Statistical Machine Learning
- Advanced Econometrics: Time Series
- Quantitative Text Analysis
- Inference for Data Analytics
- Bayesian Analysis
- Programming for Social Scientists
- Causal Inference & Policy Evaluation
- Block II: Economics
- Advanced Macroeconomics
- Advanced Microeconomics
- International Trade
- Aviation Economics
- Health and Welfare Economics
- Energy Economics and Policy
- Economics of Competition Policy
- Behavioral Economics: Policy Applications
- Decision Theory
Summer Trimester
In the Summer trimester, you will do a supervised thesis or internship.
Overall, this is a 90-credit taught Masters
Program Outcome
Upon completing the program, students will have a thorough understanding of methods in both economics and data analytics and the ability to apply these methods effectively. The skills gained in this program make graduates competitive candidates for positions in industries such as tech, finance, and pharmaceuticals, as well as in government and academia.
Knowledge and understanding
- Understanding the range of methods in data analytics, econometrics, and machine learning that are available to data analysts, along with their key advantages and disadvantages.
- Understanding economic theories that explain the decisions of people, firms, and governments.
Applying knowledge and understanding
- Understanding the central aspects of social science research design.
- Being able to use economic theory to analyze questions in public policy and business.
- Being able to apply data analytics methods to a broad range of questions in academic and industry contexts.
Making judgments
- Being able to decide on appropriate analytical techniques to answer a particular research question.
- Being able to evaluate statistical results in social science research as well as government and business reports.
- Being able to assess the quality of data that are used to answer a research question.
Communication and working skills
- Being able to motivate a research question and design.
- Being able to clearly communicate the results from an economic or statistical analysis.
- Being able to work in teams; includes working collaboratively on research projects and setting up workflow management (code sharing, version control, replication tools, etc).
Learning skills
- Have a solid foundation in data analytics and econometrics that allows students to learn new methods in these fields.
- Have a sufficient grounding in economics research to be able to read and learn about new research in economics.
Program Tuition Fee
Career Opportunities
Careers & Employability
This program 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 programs, 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.
Student Testimonials
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.