Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
2 years
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analytics | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
About Program

Program Overview


University Programs

The university offers a range of programs for students, including bachelor's degrees, master's degrees, and integrated bachelor-master degrees.


Bachelor's Degrees

  • Bachelor Degree in Informatics Engineering
    • Enrolment: Available places
    • Curriculum:
      • Syllabus
      • Reassessment
      • Specializations
      • Competences
      • Competences for degree subjects
    • Faculty
    • Bachelor's Thesis
    • Timetables
    • Exams
    • Academic Regulations
  • Bachelor Degree in Data Science and Engineering
    • Enrolment: Available places
    • Curriculum:
      • Syllabus
      • Competences
      • Competences for degree subjects
    • Faculty
    • Timetables
    • Exams
    • Academic Regulations and organization
  • Bachelor Degree in Artificial Intelligence
    • Enrolment: Places lliures
    • Curriculum:
      • Competences
      • Syllabus
      • Competences for degree subjects
    • Faculty
    • Timetables
    • Exams
    • Academic regulations
    • Bachelor's thesis
  • Bachelor Degree in Bioinformatics
    • Enrolment: Available places
    • Curriculum:
      • Learning Outcomes
      • Syllabus
    • Faculty
    • Timetables
    • Exams
    • Academic Regulations
  • Integrated Bachelor Master Degree
    • Enrolment
    • Curriculum

Master's Degrees

  • Master in Informatics Engineering
    • Enrolment: Available places
    • Curriculum:
      • Syllabus
      • Competences
      • Competences for degree subjects
    • Faculty
    • Academic Regulations
    • Master's Thesis
    • Timetables
    • Exams
  • Master in Informatics Engineering - Industrial Modality
    • Curriculum
  • Master in Innovation and Research in Informatics
    • Enrolment: Available places
    • Curriculum:
      • Syllabus
      • Specializations
      • Competences
      • Competences for degree subjects
    • Faculty
    • Academic Regulations
    • Master's Thesis
    • Seminars
    • Timetables
    • Exams
  • Master in Artificial Intelligence
    • Enrolment: Available places
    • Curriculum:
      • Syllabus
      • Competences
      • Competences for degree subjects
    • Faculty
    • Academic Regulations
    • Master's Thesis
    • Timetables
    • Exams
    • FAQs
  • Master in Cybersecurity
  • Master in Data Science
    • Enrolment: Available places
    • Curriculum:
      • Syllabus
      • Competences
      • Competences for degree subjects
    • Faculty
    • Academic Regulations
    • Timetables
    • Exams
    • Master's Thesis
      • Gender Competency
  • Erasmus Mundus Master in Big Data Management and Analytics
    • Curriculum:
      • Syllabus
    • Exams
    • Timetables
  • Master in Urban Mobility
    • Curriculum
  • EUMaster4HPC
    • Curriculum
  • Other Masters
    • Master in Computational Modelling in Physics, Chemistry and Biochemistry
    • Master in Pure and Applied Logic

Academic Management

  • Administrative Procedures
  • Academic calendars
  • Extinct Curriculums

Grants and Financial Aid

  • Awards

Mobility

  • Incoming
    • Academic stays
    • Research Visit
  • Outgoing
    • Mobility Calendar
    • Information Sessions
    • Mobility experiences
    • Study abroad
      • Before you leave
      • When you arrive
      • Before you return
      • When you return
    • Internship abroad
    • Other activities abroad
  • Double degrees
  • International Partnerships
    • Mobility Programs
      • CERN (Conseil Européen pour le Recherche Nucléaire)
      • Erasmus+
      • Latin America
      • National Institute of Informatics (NII) Tokyo
      • SICUE
      • UNITECH
      • USA grant programs
      • Vulcanus
    • University Networks
    • Partner universities

Research

  • Departments
  • Research Centers
  • Research Groups
  • inLab FIB

Companies

  • Industrial Practices
    • Offers list
    • Posting offers
  • Job Placements
    • Offers list
    • Posting offers
  • FIB Visiona
  • Sponsorship
    • Jedi Mobile Apps Lab
    • Social Point Lab

The FIB

  • The School
    • The school in Figures
    • Location
    • Governance
      • CACFBBI
      • CACFIBBI
      • CACOBBI
    • Staff
    • Awards
    • Graduation Ceremony
    • PROPER Project
  • Rooms
    • Computer Labs
    • Teaching laboratories
    • Teaching Classrooms
    • Group work classroom
    • Presentation Rooms
    • Rector Gabriel Ferraté Library
  • IT Services
    • How to study remotely
    • IT Guide for new students
    • Service catalog
  • University Life
    • Associations
  • Quality system
    • Internal Quality Assurance System
    • Qualification assessment
    • Statistical data

Erasmus Mundus Master in Big Data Management and Analytics

The Master in Big Data Management and Analytics (BDMA) is an Erasmus Mundus programme of two years. BDMA is a program that covers the disciplines of data management and analysis in the field of massive data processing or Big Data (BD). To do this, it builds on the foundations of Business Intelligence (BI) and complements it with transversal competencies. This programme has been jointly designed by a consortium of European universities, among which is the UPC, to provide the student with the necessary skills to be a specialist in BI and BD.


Being an Erasmus Mundus, BDMA involves mobility. The first and second semester are compulsory for all students, as well as the summer school. In the third semester students choose a specialisation: statistics and deep learning, business process analytics or decision support. The last semester is intended for the master's thesis.


After completing the programme, students receive a degree from ULB, UPC and the university of specialization (TU/e, CS or UniPD).


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