Discover the subjects you will study

We want you to be an engineer with knowledge in programming and to control its application to various technological applications, as well as in the analysis, modeling and interpretation of data and to know how to make the most of its potential. Thanks to this, your profile will stand out for knowing how to make the best decisions that accelerate innovation, improve competitiveness and increase productivity in business and industrial environments.
work At final, we train highly qualified professionals, with capacity for teamwork and innovation in the sector, committed to society and its current problems, capable of making responsible decisions and aware of the implications of their work in society.
Modules of the Study program
SUBJECT |
ECTS credit subject |
SUBJECT |
ECTS credit subject |
|
subject . Basic Mathematics |
30 |
Calculation |
6 |
| Algebra | 6 | ||
| Calculus II | 6 | ||
| Statistics and Probability | 6 | ||
| Differential Equations | 6 | ||
|
subject . Physics and General Electronics |
14 |
Physics |
8 |
| Electronic technology | 6 | ||
|
subject . Computer Science |
18 |
Computing |
6 |
| Object-oriented programming | 6 | ||
| Computational Mathematics | 6 | ||
|
subject . Economics business |
6 |
Economy and business | 6 |
SUBJECT |
ECTS credit subject |
SUBJECT |
ECTS credit subject |
|
subject . Fundamentals of Electronics |
10 |
Computer fundamentals |
6 |
| Microprocessors | 6 | ||
|
subject . Fundamentals of Control |
4 |
Automatic control |
4 |
|
subject . data Storage and Processing |
18 |
Information technology |
4 |
| Data engineering | 4 | ||
| Big Data & Cloud Computing | 6 | ||
| HPC | 4 | ||
|
subject . Algorithms and Optimization |
10 |
Structure of data and algorithm |
4 |
| Optimization Techniques I | 6 |
SUBJECT |
ECTS credit subject |
SUBJECT |
ECTS credit subject |
|
subject . data Science |
20 |
Processing of data |
6 |
| data analysis | 4 | ||
| Data visualisation | 4 | ||
| Coding and information theory | 6 | ||
|
subject . Machine Learning |
22 |
Machine Learning I |
6 |
| Machine Learning II | 6 | ||
| Deep learning | 6 | ||
| Natural Language Processing | 4 |
SUBJECT |
ECTS credit subject |
SUBJECT |
ECTS credit subject |
|
subject . AI Technologies |
20 |
IoT |
6 |
| development | 6 | ||
| Smart Environments | 4 | ||
| Human-computer interaction | 4 | ||
|
subject . Applications of Artificial Intelligence |
24 |
Cybersecurity |
6 |
| Intelligent Robotics | 6 | ||
| Computer Vision | 6 | ||
| Computer Vision II | 6 |
SUBJECT |
ECTS credit subject |
SUBJECT |
ECTS credit subject |
|
subject . Projects and Challenges |
12 |
Introduction to Engineering |
2 |
| Projects | 4 | ||
| challenge from pathway | 6 | ||
|
subject : work Degree work |
12 |
project End of Degree |
12 |
SUBJECT |
ECTS credit subject |
SUBJECT |
ECTS credit subject |
|
subject . Anthropology and Ethics |
12 |
Anthropology |
2 |
| Anthropology II | 4 | ||
| Ethics I | 2 | ||
| Ethics II | 2 | ||
| Ethics III | 2 | ||
|
subject : training |
8 |
Cultural Keys I |
2 |
| Cultural Keys II | 2 | ||
| pathway | 4 |
Study program
| FALL SEMESTER | ECTS CREDIT | FIRST SEMESTER |
ECTS CREDIT | SPRING SEMESTER |
ECTS CREDIT |
SECOND |
ECTS CREDIT |
|
6 |
6 |
6 |
6 |
||||
|
6 |
6 |
6 |
6 |
||||
|
8 |
8 |
6 |
6 |
||||
|
6 |
6 |
6 |
6 |
||||
|
2 |
2 |
4 |
4 |
||||
|
2 |
2 |
2 |
2 |
| FALL SEMESTER | ECTS CREDIT | SPRING SEMESTER |
ECTS CREDIT |
|
6 |
4 |
||
|
6 |
6 |
||
|
6 |
4 |
||
|
6 |
6 |
||
|
2 |
6 |
||
|
4 |
pathway |
4 |
|
| FALL SEMESTER | ECTS CREDIT | SPRING SEMESTER |
ECTS CREDIT |
|
Information technology |
4 |
Machine Learning II |
6 |
|
Deep Learning |
6 |
Coding and Information Theory |
6 |
|
Microprocessors |
4 |
Data engineering |
4 |
|
4 |
Human-Machine Interaction |
4 |
|
|
Computer vision I |
4 |
2 |
|
|
2 |
2 |
||
|
Big data & Cloud Computing |
6 |
challenge from pathway |
6 |
|
- challenge from pathway Making and Hacking - challenge from pathway Computer Science |
| FALL SEMESTER | ECTS CREDIT | SPRING SEMESTER |
ECTS CREDIT |
|
IoT- Intelligent Agents |
6 |
Intelligent environments |
4 |
|
development Software |
6 |
Foundation Models |
6 |
|
Cybersecurity |
4 |
Computer Vision II |
4 |
|
Intelligent robotics |
6 |
4 |
|
|
High Performance Computing |
4 |
12 |
|
|
Natural Language Processing |
4 |
|
|
Study program Artificial Study program + Telecommunications Systems (being phased out)
| FALL SEMESTER | ECTS CREDIT | FIRST SEMESTER |
ECTS CREDIT | SPRING SEMESTER |
ECTS CREDIT |
SECOND |
ECTS CREDIT |
|
6 |
6 |
6 |
6 |
||||
|
6 |
6 |
6 |
6 |
||||
|
8 |
8 |
6 |
6 |
||||
|
6 |
6 |
6 |
6 |
||||
|
2 |
2 |
4 |
4 |
||||
|
2 |
2 |
2 |
2 |
| semester | ECTS CREDIT | semester |
ECTS CREDIT |
|
6 |
4 |
||
|
6 |
4 |
||
|
6 |
4 |
||
|
6 |
6 |
||
|
2 |
6 |
||
|
4 |
6 |
||
|
pathway |
6 | ||
| semester | ECTS CREDIT | semester |
ECTS CREDIT |
|
Network theory |
6 |
Optimization techniques |
6 |
|
Transmission systems |
4 |
Data visualisation |
4 |
|
Microprocessors |
4 |
data transmission |
4 |
|
Methods of electronic design |
6 |
Communications electronics |
4 |
|
Telecommunication networks |
6 |
Antennas |
4 |
|
project |
2 |
project |
2 |
| Cultural Keys I | 2 | challenge from pathway | 6 |
| semester | ECTS CREDIT | semester |
ECTS CREDIT |
|
Information technology |
4 |
Next-generation wireless networks |
4 |
|
Deep learning |
6 |
Multimedia telecommunication systems |
2 |
|
Automatic control |
4 |
communication project |
2 |
|
Computer vision I |
4 |
Coding and information theory |
6 |
|
Big data & cloud computing |
6 |
Machine learning ii |
6 |
|
Telematic systems |
8 |
Data engineering |
4 |
|
Cultural Keys II |
2 |
Human-computer interaction |
4 |
|
|
|
Ethics III |
2 |
| semester | ECTS CREDIT | semester |
ECTS CREDIT |
|
Cybersecurity |
4 |
Degree project |
12 |
|
development |
6 |
Intelligent environments |
4 |
|
Intelligent robotics |
6 |
Foundation models |
6 |
|
IoT - intelligent agents |
6 |
Computer Vision II |
4 |
|
High performance computing |
4 |
Projects |
4 |
|
Processamiento del lenguaje natural |
4 |
project Degree project Degree |
12 |
IN ADDITION, THE 1ST COURSE CAN BE STUDIED ENTIRELY IN ENGLISH .

(From 2nd year onwards, depending on Degree, the presence of English is between 20-30%).
To take the 1st course in English you only have to fulfill two requirements:
-
Have a level of English equivalent to B2/70TOELF.
-
Have a level of Spanish equivalent to B1* (*Inthis case, the student will have to take 46 ECTS credit of subjects in English and 14 ECTS credit of classes of language Spanish to be able to continue in 2nd year with the subjects of Spanish. And in addition, in 2nd year, they will have to accredit a degree scroll B2of Spanish.).
REGULATIONS
- Rules and regulations of permanence in the programs of study of Degree
- Rules and regulations of permanence in the programs of study of Master's Degree
- Rules and regulations of credit recognition for Degree
- Rules and regulations of credit recognition for Master's Degree
- Rules and regulations of Credit Recognition for Technician of training Profesional
- Rules and regulations University Basics
- Rules and regulations general about assessment