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

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    Course provider