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/
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. 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. 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. 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. 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). 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 institut Past employers of MSc graduates from our programmes include: Meta, PwC, EirGrid Group, Competition and Consumer Protection Commission, Commission for Communications Regulation (ComReg), KPMG, Accenture, Novartis, EnvEcon Decision Support Ltd, Deloitte, Grant Thornton, McKinsey & Company, Frontier Economics, Irish Life Investment Managers, Davy Group, Indecon International consultants, Central Statistics Office, Irish Government Economic and Evaluation Service (IGEES), Irish Parliament, Central Bank of Ireland, Economic and Social Research Institute, and other leading national and international In the summer semester, students have the option of ei
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 361 位 | 伦敦大学城市圣乔治City St George's, University of London | 1年 | 25690英镑/年 |