MSc Economics and Data Analytics

Graduate Taught (level 9 nfq, credits 90)

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 programme 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 programme 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.

 

Careers & Employability

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.

 

Curricular information is subject to change


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

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.
  • 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/

The MSc in Economics and Data Analytics is a joint programme from UCD's School of Economics and 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 programme will help prepare you for a variety of exciting career paths, including graduate studies.

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.

View All Modules Here

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
  • Behavioural 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

MSc Economics and Data Analytics (W564) Full Time
EU          fee per year - € 12500
nonEU    fee per year - € 22600

MSc Economics and Data Analytics (W565) Part Time
EU          fee per year - € 7690
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/

Dr Ben Elsner,  UCD School of Economics, Director of the MSc in Economics and Data Analytics: " I am very excited about the launch of the MSc in Economics and Data Analytics. For over 15 years, the UCD School of Economics has been running a thriving masters programme. Our graduates receive a rigorous training in economic theory and quantitative analysis, which lays the foundation for many successful career paths. The new MSc in Economics and Data Analytics, jointly offered with the UCD School of Mathematics and Statistics, builds upon this foundation and offers a highly attractive skill set to its graduates. In today's data-driven world, many careers require a thorough understanding of data analytics combined with the analytical mindset from economic theory. The programme offers exactly this combination and strikes a balance between theory and applications.

Our expert faculty members will provide students with the skills they need to succeed in today's competitive job market, while the location of Dublin as one of the world's major tech hubs means our graduates will have access to a wide range of exciting career opportunities."

 

Dr Michael Salter-Townshend, UCD School of Mathematics and Statistics, Director of the MSc in Data Analytics​: "Since 2015 we have developed a strong and successful postgraduate programme in Data Analytics. We show our students how to use cutting edge methods to perform key data-driven tasks, from processing and visualising data all the way up to fitting and critiquing complex statistical models. But we make sure to build solid foundations on the theory, so that our students can not only use what they learn but also adapt the methods to novel situations. 

We've already seen many great students coming from a background or interest in economics, but now I'm really excited to see the combination of Economics with Data Analytics offered for the first time in this new programme. This will allow students who are keen to focus on economics applications to pursue masters level competency in Data Analytics at the same time. They will leave with high level skills in data programming, machine learning, inference, and more (depending on the options they choose) along with experience in applying these methods to economics problems. 

Our Data Analytics modules complement the economic theory modules and the combination will create a new breed of expert who is both a proficient coder and data analyst, as well as being savvy in economics. This is sure to be a highly prized skillset. "

The following entry routes are available:

MSc Economics and Data Analytics FT (W564)
Duration
1 Years
Attend
Full Time
Deadline
Rolling*
MSc Economics and Data Analytics PT (W565)
Duration
2 Years
Attend
Part Time
Deadline
Rolling*

* Courses will remain open until such time as all places have been filled, therefore early application is advised