Data Science for Finance and
Risk

Concentration: Quantitative
Academic Year: 2022-2023
Semester: Fourth
Required/Elective: Elective
Prerequisite(s): None
Course Hours / Week: 3 hours per week / 8 weeks



The course belongs to the master’s program in financial engineering, in the area of ​​Data Science with a theoretical / practical nature, whose purpose is to provide participants the management of computational tool  R Studio and the understanding of machine learning algorithms in a data science environment applied to the banking business. The topics to be covered during the course are: Preliminary concepts, Data manipulation and preparation, Modeling: Machine learning algorithm, Evaluation and Integrative project.