Master’s degree in Economics and Data Analysis

Master’s degree in Economics and Data Analysis

Machine learning for economics

Course code
4S008979
Credits
6
Academic sector
SECS-S/01 - STATISTICA

Learning outcomes

The goal of the course is to provide students with mathematical, statistical and computational tools for a rigorous understanding of machine learning. A central aspect is the critical discussion of how and to which extent machine learning methods are essential in large scale data analysis in order to develop a professional profile combining solid quantitative skills with an in-depth knowledge of economic and corporate dynamics to support strategic decisions based on data analysis. At the end of the course students will be able to master classical methods of machine learning, implement data analysis algorithms, choose the most suitable techniques, identify relevant structures underlying the data for prediction purposes, critically discuss the output generated by a machine learning technique.


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