Program Overview
The MSc in Economics and Data Analytics from UCD combines foundational economics principles with cutting-edge data analytics techniques. This 90-credit program equips students with in-demand skills for careers in tech, finance, and academia. Graduates are highly competitive for roles requiring economic and data analytics expertise, including research, consulting, and policy analysis. The program is taught by renowned economists and statisticians using a blended learning approach and is based in Dublin, a global tech hub.
Program Outline
Degree Overview:
The MSc in Economics and Data Analytics is a joint program offered by the UCD School of Economics and the UCD School of Mathematics and Statistics. It is designed for students who want to gain the in-demand skills needed in today's job market. The program 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. The program aims to provide students with a thorough understanding of methods in both economics and data analytics and the ability to apply these methods effectively. Graduates will be competitive candidates for positions in industries such as tech, finance, and pharmaceuticals, as well as in government and academia.
Outline:
The MSc in Economics and Data Analytics is a 90-credit taught combined learning MSc, with the Data Analytics modules taken online.
Autumn Trimester:
- Foundational Course in Mathematics and Statistics: A two-week course covering foundational concepts in mathematics and statistics.
- Microeconomics: This module covers the fundamental principles of microeconomics, including consumer theory, producer theory, market structure, and welfare economics.
- Macroeconomics: This module covers the fundamental principles of macroeconomics, including national income accounting, aggregate demand and supply, monetary and fiscal policy, and economic growth. Students will learn how to import, clean, and manipulate data, as well as how to create basic visualizations. Students will learn about different types of data, data quality issues, and how to choose the appropriate analytical methods.
- Econometrics: This module introduces students to the principles of econometrics, which is the application of statistical methods to economic data. Students will learn how to estimate and test economic models, as well as how to interpret the results.
Spring Trimester:
- Research and Career Skills: This core module provides students with the skills they need to conduct research and prepare for their careers. Topics covered include research design, data analysis, writing, and presentation skills.
- Electives: Students choose modules worth 25 credits from the following blocks:
- 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:
Teaching:
The program is taught by top economists and statisticians in small class sizes. The program uses a blended learning approach, with both online and in-person modules. Students will get hands-on experience through workshops and projects.
Careers:
The MSc in Economics and Data Analytics prepares graduates for a wide range of highly in-demand career paths. Graduates from related programs 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.
Other:
The program is located in Dublin, one of the world's major tech hubs, which provides graduates with access to a wide range of exciting career opportunities.
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
University College Dublin
Overview:
University College Dublin (UCD) is a leading research-intensive university located in Dublin, Ireland. It is known for its commitment to academic excellence, innovation, and global engagement. UCD offers a wide range of undergraduate and postgraduate programs across various disciplines.
Student Life and Campus Experience:
UCD provides a vibrant and diverse campus experience for its students. The university emphasizes the holistic development of its students, offering a range of opportunities for personal and professional growth.
Key Reasons to Study There:
Research Excellence:
UCD is renowned for its strong research output and collaborations with industry partners.Global Partnerships:
The university boasts a vast network of partner institutions worldwide, providing students with opportunities for international study and exchange.Transformational Learning:
UCD focuses on providing a transformative learning experience that fosters critical thinking, problem-solving, and leadership skills.Other:
UCD is actively involved in promoting sustainability and social responsibility. The university is committed to creating a positive impact on society through its research, teaching, and engagement activities.
Entry Requirements:
- Academic 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.
- Language Proficiency Requirements:
- 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.
- Alternative Entry:
- 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.