Data Science

Note: this specialization was formerly known as Data Mining and Business Intelligence

About

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.

Target

The specialization in Data Science 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.

 

Specialization coordinator

Tomas Aluja Banet

Subjects

Specialization compulsory subjects

Specialization complementary subjects

 

Elective
Mandatory
Final Master Thesis

 

Mandatory Common Course

 

Semester 1

Semester 2

Semester 3

Semester 4

Final Master Thesis
(TFM - 30 ECTS)

Specialization Elective

Elective

You can choose any MIRI or UPC Masters courses.