Be part of the technological transformation of the future
The Degree in Artificial Intelligence at Nebrija University focuses on the student experience through Project Based Learning. Most of the subjects in the curriculum devote more than 50% of the teaching hours to practical projects that directly apply the knowledge acquired.
Students use specific computational platforms for AI and Data Engineering and create an academic portfolio of completed projects, which helps them stand out in the job market.
This unique programme not only provides a solid foundation in the fundamentals of computer science, but also applies new knowledge in a practical AI environment. The curriculum focuses on technological development that enhances student learning and provides students with real-world experience in artificial intelligence.
Advisory and consultative council
- Manuel Aguilar(CIEMAT researcher, CERN vice-president, RAC member)
- Daniel Cortina (Micromag technical director)
- Pedro Miguel Echenique (president Donostia International Physics Center, RAC member)
- Francisco Guinea (senior researcher at Imdea Nanoscience, National Research Award)
- Antonio Hernando (professor of magnetism, RAC member, master professor at Nebrija University)
- Pilar Marín (Professor of Condensed Matter Physics, Director of the IMA)
- Rolf Tarrach (former Rector of the University of Luxembourg, former President CSIC)
"At the Polytechnic, we encourage hands-on learning through a 'learning by doing' approach, while establishing a close connection with the business world to develop our students as leaders capable of solidly linking theory with practice".
Why study the Degree in Artificial Intelligence at Nebrija?
Innovative curriculum
Practical, industry-oriented AI curriculum with an international faculty of expert lecturers and industry benchmarks.
Internships in the best companies
Iberdrola, KPMG, BBVA, REPSOL and Santander are some of the companies and institutions that offer internships to students and validate the training process thanks to their involvement in the curriculum, providing expert teachers.
International training
Students have the opportunity to study part of their studies at leading international universities in the sector, such as Hamk University of Applied Sciences (Finland), New Jersey Institute of Technology (USA) or Hochschule München (Germany).
Participation in real R&D projects
Thanks to our collaboration agreements with some of the best companies and institutions in the sector, students can collaborate on a variety of real projects.
Innovative curriculum
Practical, industry-oriented AI curriculum with an international faculty of expert lecturers and industry benchmarks.
Internships in the best companies
Iberdrola, KPMG, BBVA, REPSOL and Santander are some of the companies and institutions that offer internships to students and validate the training process thanks to their involvement in the curriculum, providing expert teachers.
International training
Students have the opportunity to study part of their studies at leading international universities in the sector, such as Hamk University of Applied Sciences (Finland), New Jersey Institute of Technology (USA) or Hochschule München (Germany).
Participation in real R&D projects
Thanks to our collaboration agreements with some of the best companies and institutions in the sector, students can collaborate on a variety of real projects.
Syllabus
* Degree in the process of verification by Fundación Madri+d.
Students must take 240 credits
60 ECTS
Academic Information
- Develop technological solutions that meet the needs of the artificial intelligence sector using the knowledge of physics obtained in the degree.
- Develop innovative tools that meet the demands of the artificial intelligence sector, through the application of their skills in mathematics and statistics, together with the use of numerical algorithms and computational calculation techniques.
- Ability to design, develop, select and evaluate computer applications and systems, ensuring their reliability, security and quality, in accordance with ethical principles and current legislation and regulations.
- Be able to identify and solve common problems in operating systems and networks, using diagnostic techniques and monitoring tools to solve performance, security and connectivity problems.
- Detect, acquire and manage relevant data in order to issue judgements that include a reflection on relevant social, scientific or ethical issues, to both specialised and non-specialised audiences.
- Implement algorithms based on modern programming languages (with special application to Python and R), to automate the obtaining of unstructured data and their analysis, improving the efficiency, effectiveness and quality of their professional performance.
- Ability to evaluate and guarantee the quality of the artificial intelligence systems implemented, using appropriate metrics and evaluation techniques, and applying rigorous tests to validate the correct functioning of the models and systems deployed.
- Be aware of ethical and legal issues related to artificial intelligence, such as data privacy, algorithmic bias and accountability in the use of artificial intelligence systems.
- Develop graphical solutions based on knowledge of the dynamics and operation of data visualisation platforms.
- Solve real problems in the field of data engineering and artificial intelligence using the relevant tools and technologies for the development of such projects.
- Act ethically and with professional responsibility in the face of social, environmental and economic challenges, taking democratic principles and values and the Sustainable Development Goals as a reference point. As well as respecting the development and implementation of solutions that respond to social demands, taking as a reference the Sustainable Development Goals, respect for diversity, the principles of universal accessibility and design for all people.
- Carry out an original and individual final degree project, as a transversal subject whose development will be carried out in association with different subjects. Ability to defend before a university tribunal, consisting of a project in the field of specific artificial intelligence technologies of a professional nature in which the skills acquired in the course are synthesised and integrated.
Professional Outings
At the end of the Bachelor's Degree in Artificial Intelligence, students will be able to develop their professional career in:
- AI systems engineer.
- Consultant in data techniques and strategies.
- Developer of AI-based products/services. Director of data engineering areas.
- Research professional: Participation in research and development projects in different technological sectors.
- Data infrastructure designer: Establishes technical standards for the sustainable management of technological resources in AI.
complete course
of internships
Employability
m² of the best facilities
in the centre of Madrid
destinations
to study part of the Degree
NOTE: The host universities, offered per degree, may vary according to the International Mobility Programme. For the most up-to-date information, students can consult the online information on the International Mobility Programme.
Several universities have special academic or language requirements. For more information, please consult the following link.
Some host universities may require the submission of a portfolio in order to apply for admission as an exchange student. In such a case, the student should ask the Academic Department for advice on how to prepare it.
Australia
Australia
Quality
Official qualification: Bachelor's Degree in Artificial Intelligence
Faculty or school responsible: Higher Polytechnic School
Branch of knowledge: Department Escuela Superior de Informática
Number of places available:
Type of course: Classroom-based
Academic year in which it was introduced: 2024-2025
Languages: Spanish
Total Credits: 240 credits.
Minimum 12 ECTS and maximum 90 ECTS per enrolment and academic period.
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