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

Person Department Email
Romero Moral, Oscar ESSI

Specialization teachers

Person Department Email
Abello Gamazo, Alberto ESSI
Ageno Pulido, Alicia Maria CS
Aluja Banet, Tomas EIO
Arias Vicente, Marta CS
Baixeries Juvillà, Jaume CS
Balcázar Navarro, Jose Luis CS
Belanche Muñoz, Luis Antonio CS
Bilalli, Besim ESSI
Carmona Vargas, Jose CS
Castellano Palomino, Marta Janira EIO
Castro Pérez, Jordi EIO
Castro Rabal, Jorge CS
Delicado Useros, Pedro EIO
Ferrer Cancho, Ramon CS
Gavaldà Mestre, Ricard CS
Gibert Oliveras, Karina EIO
Graffelman, Jan EIO
Heredia Cervera, F. Javier EIO
Kostov, Belchin Adriyanov EIO
Martín Muñoz, Mario CS
Montero Mercadé, Lidia EIO
Nadal Francesch, Sergi ESSI
Padro Cirera, Lluis CS
Romero Moral, Oscar ESSI
Sánchez Espigares, Josep Anton EIO
Turmo Borrás, Jordi CS
Valiente Feruglio, Gabriel CS
Vellido Alcacena, Alfredo CS

Subjects

Specialization compulsory subjects

Specialization complementary subjects

 

Elective
Mandatory
Final Master Thesis
Mandatory Common Course

 

Semester 1

Semester 2

Semester 3

Semester 4

Seminar activities

The activities to obtain the SIRI credits can be done in any semester of the master's degree. Consult the detail of the seminars.

Specialization Elective

Information Retrieval
(IR - 6 ECTS)

 

Elective

It is also possible:

  • Recognize credits for "External Practices" or "Laboral and Professional Experience"
  • Take courses from other MIRI specialties
  • Take courses from other masters at the UPC