Postgraduate Diploma - Applied Economics and Big Data
Trinity College Dublin, The University of Dublin, College Green, Dublin, Ireland
335919
Last updated: 17/04/2025
About Postgraduate Diploma - Applied Economics and Big Data
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.
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.
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