Data Mining and Business Intelligence

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The master’s degree equips graduates with solid knowledge and hands-on experience in techniques for managing, analyzing and extracting hidden knowledge from structured and unstructured big data ensembles and in building adaptive analytic systems that are able to exploit that knowledge in modern organizations. In particular, the master’s degree addresses the new challenges of the smart society boom: fraud detection, bioinformatics, information extraction from linked open data, real time analysis of sensor data and social networks, and customer relationship management.


The specialization in Data Mining and Business Intelligence is aimed at students from all over the world. Candidates must have a bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related fields, as well as a good level of English, and they must be motivated to discover knowledge from data in the fascinating world of sciences and technologies.


Master Thesis


Common for all Master MIRI students


Semester 1

Semester 2


Multivariate Analysis
(MVA - 6 ECTS)

Open Data
(OD - 6 ECTS)

Machine Learning
(ML - 6 ECTS)

Semester 3

Semester 4

Master Thesis
(TFM - 30 ECTS)

Specialization Elective


You can choose any MIRI or UPC Masters courses.