Program start date | Application deadline |
2024-09-01 | - |
Program Overview
The Postgraduate Diploma in Applied Economics and Big Data at Trinity College Dublin is a one-year program that equips students with advanced quantitative and statistical skills for analyzing Big Data in economic applications. Graduates gain proficiency in programming languages like Python, R, and STATA, and develop expertise in regression analysis, machine learning, and text analysis. The program prepares students for careers in data-driven sectors such as finance, consulting, and technology, where they can leverage Big Data for economic forecasting, market research, and policy development.
Program Outline
Degree Overview:
The Postgraduate Diploma course in Applied Economics and Big Data is a one-year full-time programme commencing in September 2024. Its aim is to introduce students to the application of state-of-the-art quantitative and statistical skills required to use Big Data in applied economics. Graduates from the Postgraduate Diploma in Applied Economics and Big Data at Trinity will acquire valuable skills which are sought after in the high productivity sectors, including information technology, consulting, financial services, risk assessment, and logistics. Students will become fluent with popular (and demanded) programming languages, such as Python, R and STATA and will be able to handle and analyse the large amount of data which is being created every day. Further, the students will have gained working knowledge and application experience in basic/advanced regression and statistical analysis, machine learning and important applications such as economic forecasting and text analysis. This course aims to train students who have limited quantitative research backgrounds but strong interests in enriching their methodological toolkit to contribute substantively to evidence-based, big data research activities in the modern economy.
Outline:
This course comprises eight (13) taught modules for a total of 60 ECTS. Introduction to Statistics and Regression Analysis (5 ECTS) - Core Introduction to Big Data for Economics (5 ECTS) - Core Microeconometrics (10 ECTS) - Core Macroeconometrics (10 ECTS) - Core Spatial Economics and Big Data (5 ECTS) - Optional Machine learning for economists (5 ECTS) - Optional Impact Evaluation and Big Data (5 ECTS) - Optional Labour markets and Big Data (5 ECTS) - Optional Development Economics and Big Data (5 ECTS) - Optional Environmental Economics and Big Data (5 ECTS) - Optional Financial Markets and Big Data (5 ECTS) - Optional
Careers:
The Postgraduate Diploma in Applied Economics and Big Data offered by the Department of Economics at Trinity College Dublin opens a plethora of career opportunities in a data-driven world. Graduates can embark on careers as economists, data analysts, or financial analysts in various sectors including finance, consulting, technology, and government. They may work in roles that require economic forecasting, market research, policy development, or strategic planning. With a focus on Big Data, graduates are uniquely positioned to leverage large datasets for robust economic analysis, setting them apart in sectors where data-driven decision-making is paramount. Furthermore, the skills gained can be a stepping stone to advanced research or academic careers in economics
Other:
Students are expected to bring their own laptops (Mac/Windows/Linux) for use in lectures and tutorials throughout the course.
Entry Requirements:
Admission to the course is competitive. Applicants will be expected to have an Honours Bachelor degree at 2.1 or above in economics or a related discipline and have a fluent command of the English language as per Calendar III requirements for a given academic year. In case of heavy competition for places or concerns regarding a particular applicant’s suitability, applicants may be interviewed or asked to submit a written sample for assessment.