Data Science (DS)

Data Science (DS)
Training objectives	The Data Science pathway is oriented to the contents of Statistics and Operations Research that are closer to machine learning and the analysis of large data sets, and it is proposed as a bridge to the branches of Computer Sciences closest to the data analysis and processing, and to what in recent years has been called Big Data (large data files) or Analytics (business management strongly based on the analysis of the organizations' data).
Examples of career	Experts on data analysis and management: Statistical Learning Machine Learning Data Mining Big Data SQL and NoSQL
Primarily aimed at graduates in	Computer Science Statistics Mathematics Engineering in general Management and Business Administration
Research groups involved	ADBD - Analysis of Complex Data for Business Decisions IMP - Information Modelling and Processing GNOM - Group of Numerical Optimization and Modelling GRBIO - Biostatistics and Bioinformatics Research Group (composed of researchers from the UPC and the UB) Biostatistics Group from Department of Clinic Fundamentals at UB.