نظرة عامة على البرنامج

University Programs

The university offers a range of programs for students, including bachelor's degrees and master's 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 Pure and Applied Logic
  • Master in Computational Modelling in Physics, Chemistry and Biochemistry

Master in Data Science Curriculum

The Master in Data Science curriculum is structured in 4 semesters, with a total of 120 ECTS credits.

• 54 compulsory credits
• 36 elective credits
• 30 credits of Master's Thesis

Curriculum Structure

The curriculum is divided into three fields:

• Data Science Fundamentals (12 ECTS):
  • Statistical Inference and Modeling (SIM)
  • Algorithmics, Data Structures and Databases (ADSDB)
• Data management (18 ECTS):
  • Data Warehousing (DW)
  • Big Data Management (BDM)
  • Semantic Data Management (SDM)
• Data analytics (24 ECTS):
  • Multivariate Analysis (MVA)
  • Process-oriented Data Science (PODS)
  • Machine Learning (ML)
  • Mining Unstructured Data (MUD)

Elective Courses

The elective training is structured in 36 ECTS, with three tracks:

• Deep Dive in Specific Aspects of Data Science
• Applications of Data Science for Specific Domains
• Innovation and Research

Deep Dive in Specific Aspects of Data Science

• Advanced Statistical Modeling (ASM - 6 ECTS)
• Algorithmics for Data Mining (ADM - 6 ECTS)
• Optimization Techniques for Data Mining (OTDM - 6 ECTS)
• Advanced Machine Learning (AML - 6 ECTS)
• Advanced Multivariate Analysis (AMA - 6 ECTS)
• Information Retrieval and Recommender Systems (IRRS - 6 ECTS)
• Complex and Social Networks (CSN - 6 ECTS)
• Data Analysis and Knowledge Discovery (DAKD - 6 ECTS)
• Cloud Computing and Big Data Analytics (CCBDA - 6 ECTS)
• Data Visualization (DV - 6 ECTS)
• Machine Learning Systems in Production (MLOps - 6 ECTS)

Applications of Data Science for Specific Domains

• Bioinformatics and Statistical Genetics (BSG - 6 ECTS)
• Human Language Engineering (HLE - 4.5 ECTS)
• Data Management for Transportation (DMT - 4 ECTS)

Innovation and Research

• Viability of Business Projects (VBP - 6 ECTS)
• Debates on Ethics of Data Science (DEDS - 3 ECTS)
• Interdisciplinary Innovation Project (I2P - 6 ECTS)
• Techniques and Methodology of Innovation and Research in Informatics (TMIRI - 6 ECTS)