Curriculum

The curriculum of the Bachelor Degree in Data Science and Engineering is compliant with the European Higher Education Area (EHEA) and its academic load is 240 ECTS:

The distribution of the credits is:

  • Basic courses: 60 credits
  • Compulsory courses: 126 credits
  • Elective courses and/or training internship: 36 credits
  • Final project: 18 credits

 

Study plan structure

Subjects are divided into semesters. There are two semesters in each academic year. There are eight subjects in the first year worth 7.5 ECTS credits each. All other subjects on the Bachelor Degree in Data Science and Engineering are worth 6 ECTS credits. Twelve credits are awarded in the eighth semester for subjects or seminars and the final project.

The figure below shows how the curriculum for the Degree in Data Science and Engineering is divided up.

 

Elective
Compulsory
Basic

 

 

Semestre 1
CAL
Calculus
7,5 ECTS
ALG
Algebra
7,5 ECTS
Semestre 2
COM
Computers
7,5 ECTS
Semestre 3
TEOI
Information Theory
6 ECTS
BD
Databases
6 ECTS
Semestre 5
VI
Information Visualization
6 ECTS

CAI
Information Retrieval and Analysis
6 ECTS

BDA
Advanced Databases
6 ECTS

AA2
Machine Learning II
6 ECTS

EI
Entrepreneurship and Innovation
6 ECTS

Semestre 6

TAED1
Advanced Topics in Data Engineering I
6 ECTS

POE
Spoken and Written Language Processing
6 ECTS

PIVA
Image Processing and Artificial Vision
6 ECTS

PE
Engineering Projects
6 ECTS

Semestre 7

TAED2
Advanced Topics in Data Engineering II
6 ECTS

Elective 1
6 ECTS

Elective 2
6 ECTS

Elective 3
6 ECTS

Elective 4
6 ECTS

Semestre 8

Elective 5
6 ECTS

Elective 6
6 ECTS

Degree Final project
6 ECTS