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MSc Economics and Data Analytics

Overview

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. This programme, 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.

Programme Structure

• The programme is available on a full-time or part-time basis.
• The full-time programme is one year, while the part-time programme is two years.
• The programme consists of 90 credits, with 60 credits of taught modules and 30 credits of dissertation or internship.
• Teaching on this programme follows a blended approach, with all modules in economics and econometrics taught in person, and all modules in statistics and data analytics taught online.

Career Opportunities

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, graduates will be equipped with the skills and knowledge to succeed in the competitive job market of today and tomorrow. Graduates from related programmes have gone on to successful careers in industries like tech, finance, and consulting, as well as public institutions like central banks, ministries, and research institutes.

Entry Requirements

• A 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.
• Alternatively, a minimum of upper second class honours degree in a cognate area with a strong quantitative component.
• Applicants whose first language is not English must also demonstrate English language proficiency.

Programme Content

The programme provides a strong foundation in both economics and data analytics through core modules. Students will also have the opportunity to put their skills into practice through talks with industry professionals, group projects, and presentations. In the spring semester, students will have the choice to select from a variety of elective modules in data analytics, econometrics, and economics.

Testimonials

The programme consistently provided excellent support through knowledgeable and accessible faculty, and created a vibrant learning environment filled with motivated, diverse classmates. Graduates have praised the programme for its rigorous training in economic theory and quantitative analysis, which lays the foundation for many successful career paths.