MSc in Economics and Data Analytics
A master’s programme blending economic theory with cutting-edge data analytics to prepare graduates for high-demand careers in policy, finance, and tech.
Best for:Best for economics graduates or professionals with a quantitative background seeking to specialize in data-driven economic analysis and policy-making.
Overview
The MSc in Economics and Data Analytics at University College Dublin is designed for students seeking to develop advanced skills in economic modelling and data-driven decision-making. This programme combines rigorous economic theory with hands-on data analytics training, equipping graduates with the expertise needed for roles in government, finance, and technology sectors. It caters to both domestic and international applicants, offering full-time and part-time study options. The curriculum emphasizes quantitative methods, statistical analysis, and applied research, ensuring graduates are well-prepared for careers in data-intensive fields. Applicants must demonstrate strong quantitative backgrounds and proficiency in English.
What you'll do
- Develop advanced skills in economic theory and data-driven decision-making through coursework and applied projects.
- Apply econometric techniques and statistical methods to analyze real-world economic data.
- Engage in independent research projects to solve policy or business challenges using data analytics.
- Collaborate with peers and faculty on case studies and group assignments to enhance practical skills.
- Participate in workshops and seminars focused on emerging trends in data analytics and economics.
- Prepare for careers in government, finance, consulting, or technology sectors through specialized training.
Requirements
Degree required: A Level 8 primary degree (NFQ) with at least an upper second-class honours (2:1) or equivalent in Economics, or a degree in which Economics is a major component. Alternatively, an upper second-class honours in a Higher Diploma in Economics or an MSc Qualifier.
Language: English; IELTS 6.5 (no band less than 6.0 in each element) or equivalent.
Instruction: English
- Strong quantitative background with proficiency in mathematical and statistical analysis.
- Experience or coursework in Economics or a related field with a significant quantitative component.
- Familiarity with data analysis tools and software (e.g., R, Stata, Python, or similar).
- Ability to work independently and collaboratively on research projects.
- Open to domestic (EEA) and international (non-EU) applicants for full-time study.
- Part-time study open only to domestic (EEA) applicants.
- Applicants with a minimum upper second-class honours in cognate areas (e.g., business, finance, engineering) with a strong quantitative component may also be considered.
- Recognition of Prior Learning (RPL) may be awarded for admission or credit exemptions.
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: unknown
Applicants must apply online through the University College Dublin’s graduate admissions portal. Submit a CV, academic transcripts, proof of English proficiency (if applicable), and any additional documents required for consideration. The application process includes providing details of previous education and work experience.
- CV or resume
- Academic transcripts (Bachelor’s and Master’s, if applicable)
- Proof of English proficiency (IELTS or equivalent)
- Statement of purpose or research proposal (if required)
- Two letters of recommendation (if applicable)
Contact
UCD Graduate Admissions· Admissions Office
http://www.ucd.ie/registry/prospectivestudents/admissions/graduateapplicants/
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