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.
In the academic year 24-25,
study 1st grade in English!
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Have a level of English equivalent to B2/70TOELF.
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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.).
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FALL SEMESTER |
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FIRST |
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SPRING SEMESTER |
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SECOND |
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6 |
Calculus |
6 |
6 |
Calculus II |
6 |
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6 |
Algebra |
6 |
6 |
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6 |
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8 |
Physics |
8 |
6 |
Economy and |
6 |
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6 |
Computing |
6 |
6 |
Statistics and |
6 |
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2 |
Anthropology |
2 |
4 |
Anthropology II |
4 |
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2 |
Introduction |
2 |
2 |
Ethics |
2 |
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FALL SEMESTER |
ECTS CREDIT |
SPRING SEMESTER |
ECTS CREDIT |
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Computer fundamentals |
6 |
Structure of data and algorithm |
4 |
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Processing of data |
6 |
Computational Mathematics |
6 |
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6 |
Data visualisation |
4 |
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6 |
Machine Learning |
6 |
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|
2 |
Optimization techniques |
6 |
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|
4 |
pathway |
4 |
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FALL SEMESTER |
ECTS CREDIT |
SPRING SEMESTER |
ECTS CREDIT |
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Information technology |
4 |
Machine Learning |
6 |
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Deep Learning |
6 |
Coding and Information Theory |
6 |
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Microprocessors |
4 |
Data engineering |
4 |
|
4 |
Human-Machine Interaction |
4 |
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Computer vision I |
4 |
2 |
|
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2 |
2 |
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Big data & Cloud Computing |
6 |
challenge from pathway |
6 |
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- challenge from pathway Making and Hacking - challenge from pathway Computer Science |
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FALL SEMESTER |
ECTS CREDIT |
SPRING SEMESTER |
ECTS CREDIT |
|
IoT- Intelligent Agents |
6 |
Intelligent environments |
4 |
|
development Software |
6 |
Foundation Models |
6 |
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Cybersecurity |
4 |
Computer Vision II |
4 |
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Intelligent robotics |
6 |
Projects |
4 |
|
High Performance Computing |
4 |
12 |
|
|
Natural Language Processing |
4 |
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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