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 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.
Elective
Mandatory
Master Thesis
Common for all Master MIRI students
Semester 1
Algorithmic Methods for Mathematical Models
(AMMM - 6 ECTS)
(AMMM - 6 ECTS)
Statistical Modelling and Design of Experiments
(SMDE - 6 ECTS)
(SMDE - 6 ECTS)
Data Warehousing
(DW - 6 ECTS)
(DW - 6 ECTS)
Techniques and Methodology of Innovation and Research in Informatics
(TMIRI - 6 ECTS)
(TMIRI - 6 ECTS)
Data Analysis & Knowledge Discovery
(DAKD - 6 ECTS)
(DAKD - 6 ECTS)
Semester 2
Seminars
(SIRI - 6 ECTS)
(SIRI - 6 ECTS)
Multivariate Analysis
(MVA - 6 ECTS)
(MVA - 6 ECTS)
Open Data
(OD - 6 ECTS)
(OD - 6 ECTS)
Concurrence, Parallelism and Distributed Systems
(CPDS - 6 ECTS)
(CPDS - 6 ECTS)
Machine Learning
(ML - 6 ECTS)
(ML - 6 ECTS)
Semester 3
Semester 4
Master Thesis
(TFM - 30 ECTS)
(TFM - 30 ECTS)
Specialization Elective
Service Oriented Business Intelligence
(SOBI - 6 ECTS)
(SOBI - 6 ECTS)
Statiscal Natural Language Processing
(SNLP - 6 ECTS)
(SNLP - 6 ECTS)
Advanced Natural Language Processing
(ANLP - 6 ECTS)
(ANLP - 6 ECTS)
Advanced Statistical Modeling
(ASM - 6 ECTS)
(ASM - 6 ECTS)
Bioinformatics and Statistical Genetics
(BSG - 6 ECTS)
(BSG - 6 ECTS)
Information Retrieval
(IR - 6 ECTS)
(IR - 6 ECTS)
Algorithmics for Data Mining
(ADM - 6 ECTS)
(ADM - 6 ECTS)
Business Intelligence Project
(BIP - 6 ECTS)
(BIP - 6 ECTS)
Optimization Techniques for Data Mining
(OTDM - 6 ECTS)
(OTDM - 6 ECTS)
Kernel based Machine Learning and Multivariate Modeling
(KMLMM - 6 ECTS)
(KMLMM - 6 ECTS)
Elective
You can choose any MIRI or UPC Masters courses.