MSc Economics and Data Analytics

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 programme 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 analyse 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 technique 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; this 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.

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.

In the summer semester, students have the option of either undertaking thesis research or completing an internship in an approved public or private sector organization.In order to undertake the internship module it should be noted that:

1. Students are responsible for sourcing their own internships


2. All internships must be first cleared for use by the module coordinator to ensure they meet the objectives of the programme


3. All necessary documentation must be completed before the internship commences. This includes a Host Agreement (which must be signed by the host institution and countersigned by both the student and the module coordinator) and a Student Agreement form (to be completed and signed by the student)


4. Part time students may do an internship, but not in the institution in which they are employed while registered for the MSc

The internship module provides a unique opportunity to put theory into practice, acquire new personal and work-related skills, and enhance employment potential on graduation. The internship is intended to be a new experience for students, allowing them to work on a full time basis in a host institution where they can develop existing and acquire new skills, while applying their economic training to new work related tasks.

Students, in consultation with the module coordinator, will arrange internship positions (paid or voluntary) in fields related to Economics either in Ireland or abroad. The goal is to relate the student's educational and academic experience to the professional needs of the host with whom they are associated.

MSc Economics and Data Analytics (W564) Full Time
EU          fee per year - € 12810
nonEU    fee per year - € 22600

MSc Economics and Data Analytics (W565) Part Time
EU          fee per year - € 7880
nonEU    fee per year - € 11300

***Fees are subject to change

Tuition fee information is available on the UCD Fees website. 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 see International Scholarships.

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/

Full Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes

Part Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EEA) applicants: No

 

We also consider applicants with a minimum of upper second class honours in a cognate area with a strong quantitative component (e.g. business, finance, engineering, ...)