**NEW** Bachelor in Artificial Intelligence
- Grados
- Bachelor's Degrees
- **NEW** Bachelor in Artificial Intelligence
- Duration
- 4 years (240 ECTS credits)
- Centre
- Language
- English, Spanish
- Comments
-
The Bachelor starts in: September 2025.
- English: Leganés Campus
- Spanish: Colmenarejo Campus.
Presentation
Artificial Intelligence (AI) is an area of computer science that combines mathematics, statistics, computer science, communications and many other disciplines to develop systems capable of learning, reasoning and solving problems autonomously. Its enormous impact spans all sectors, from health and industry to banking and research, making it one of the most disruptive and essential technologies of the 21st century.
In a world where automation, data analysis and intelligent decision-making are the basis of technological and economic development, artificial intelligence specialists play a key role in creating innovative solutions and are among the most sought-after professionals in the labour market.
AI includes burgeoning areas such as machine learning, computer vision, natural language processing and system optimisation, contributing to the advancement of society and industry.
AI-driven digital transformation is accelerating the development of autonomous systems, virtual assistants, cognitive robotics, Big Data, predictive technologies and diagnostic tools, to name a few. On the other hand, the responsible use of AI poses urgent ethical and legal challenges, which require professionals trained to address them with a critical and multidisciplinary vision.
The Bachelor's Degree in Artificial Intelligence, taught in English and Spanish, is designed to train professionals with the ability to use advanced AI techniques to address and solve complex problems in the business and organisational sphere, contributing to the development of innovative solutions that generate added value.
Its programme includes basic foundations in mathematics, statistics, information and communication technologies, and allows you to delve into key areas such as machine learning, knowledge representation, massive data management, optimisation, natural language processing and artificial vision, with a comprehensive focus on ethics and social impact.
With this multidisciplinary training, the Bachelor's Degree in Artificial Intelligence offers a solid theoretical and practical basis to face the technological challenges of the future in areas such as medicine, finance or robotics and generate a positive impact on society and the economy.
Professional Areas
- Technology and software companies.
- Automation and robotics industry.
- Data analytics and data science.
- Development of applied artificial intelligence.
- Healthcare and assisted diagnosis sectors.
- Video games and simulation industry.
- Cybersecurity and computer forensics.
- Consultancy and technological innovation companies.
- AI and machine learning research.
- Virtual assistants and natural language processing.
International Excellence
Program
Year 1 - Semester 1
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Programming | 6 | BC |   |
| Computation and Inteligence | 6 | BC | |
| Linear Algebra | 6 | BC | |
| Calculus | 6 | BC | |
| Expression Strategies | 3 | C | |
| Digital competences for engineering | 3 | C | |
Year 1 - Semester 2
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Programming Techniques | 6 | BC | |
| Artificial Inteligence | 6 | C | |
| Discrete Mathematics | 6 | BC | |
| Logic | 6 | BC | |
| Probability and Statistic | 6 | BC | |
Year 2 - Semester 1
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Data Structures | 6 | C | |
| Heuristics and Computation | 6 | C | |
| Automata and formal language theory | 6 | C | |
| Introduction to business management | 6 | BC | |
| Computer Structure | 6 | BC | |
Year 2 - Semester 2
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Files and data bases | 6 | C | |
| Statistical signal processing | 6 | C | |
| Machine Learning I | 6 | C | |
| Operating Systems | 6 | C | No data |
| Humanities | 6 | C | |
Year 3 - Semester 1
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Biologically inspired methods | 6 | C | |
| Knowledge based systems | 6 | C | |
| Deep Learning | 6 | C | |
| Machine Learning II | 6 | C | |
| Computer Network | 6 | C | |
Year 3 - Semester 2
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Generative AI | 6 | C | |
| Cloud Computing | 6 | C | |
| Information security and AI | 6 | C | |
| Ethics and AI | 3 | C | |
| Soft Skills | 3 | C | |
| Massive data processing | 6 | C | |
Year 4 - Semester 1
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| WEB applications | 6 | C | |
| Artificial Vision | 6 | C | |
| Robotics | 3 | C | |
| Projeccts Managements | 3 | C | |
| Natural language processing | 6 | C | |
| Electives: Recommended 6 credits | No data | No data | |
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| AI in Health | 6 | E | |
| Introduction to Bioinformatics | 6 | E | |
| AI in Business | 6 | E | |
| Functional Programming | 6 | E | |
| Statistical Learning | 6 | E | |
| User Interfaces | 6 | E | |
| Web Analytics | 6 | E | |
| Audiovisual Services | 6 | E | |
| Interface methods in bayesian machine learning | 6 | E | |
| Data integration and Visualization | 6 | E | |
| Data Analysis | 3 | E | |
| Computer Graphics | 3 | E | |
| Information technology law | 3 | E | |
| Game Theory | 6 | E | |
| External Internships | 6 | E | |
Year 4 - Semester 2
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Projects of AI | 6 | C | |
| Regulation and AI | 6 | C | |
| Bachelor Thesis | 12 | BT | |
| Electives: Recommended 6 credits | No data | No data | |
| Subjects | ECTS | TYPE | Language |
|---|---|---|---|
| Introduction to quamtum computing and communication | 3 | E | |
| Technologies for autonomous and unmanned systems | 3 | E | |
| Intelligent Agents | 3 | E | |
| Software engineering of artificial intelligence productss | 6 | E | |
| Brain-Machine Interfaces | 3 | E | |
| Neural Engineering | 6 | E | |
| Human language: architecture and functions | 6 | E | |
| AI, communication and culture | 6 | E | |
| External Internships | 6 | E | |
- Studies program subjects
- Credits recognition
- Access to previous courses programs
TYPES OF SUBJECTS
BC: Basic Core
C: Compulsory
E: Electives
BT: Bachelor Thesis
Mobility
- Mobility
Exchange programs
The Erasmus programme permits UC3M first degree and post graduate students to spend one or several terms at one of the European universities with which UC3M has special agreements or take up an Erasmus Placement, that is a work placement or internship at an EU company. These exchanges are funded with Erasmus Grants which are provided by the EU and the Spanish Ministry of Education.
The non-european mobility program enables UC3M degree students to study one or several terms in one of the international universities with which the university has special agreements. It also has funding from the Banco Santander and the UC3M.
These places are offered in a public competition and are awarded to students with the best academic record and who have passed the language threshold (English, French, German etc..) requested by the university of destination.
- European mobility
European mobility
The list of European universities with mobility agreements will be published soon.
- Non-European mobility
Non-European mobility
The list of non-European universities with a mobility agreement will be published soon.
Profile and career opportunities
- Entry profile
Entry profile
The majority of students who are admitted to this degree come from the Baccalaureate in Science and Technology, where they obtain specific training in these fields, which develops knowledge and skills and prepares students better to access to these studies. According to Spanish regulations, students must take core subjects such as: Mathematics, Physics, Chemistry, Technical Drawing, and Technology and Engineering.
In addition to Baccalaureate students, another main access route to the Bachelor's Degrees is coming from Vocational Training studies.
- Graduate profile
Graduate profile
The Bachelor's Degree in Artificial Intelligence arises from a social need for Artificial Intelligence professionals, who must have in-depth basic training in its fundamentals, with the ability to analyse, develop and use the different existing AI techniques, evaluate their applications in organisations, and manage their ethical implications:
- Acquire advanced knowledge, demonstrating an understanding of the theoretical and practical aspects and methodology of working in the field of Artificial Intelligence with a depth that reaches the cutting edge of knowledge.
- Apply their knowledge in the field of Artificial Intelligence and their problem-solving skills in complex domains of work.
- Possess the ability to compile and interpret data into information on which to base their conclusions, including the reflection of social, scientific, legal or ethical issues in the field of Artificial Intelligence.
- Be able to deal with complex situations or those requiring the development of new solutions in the academic, professional or work environment.
- Know how to communicate knowledge, methodology, ideas, problems and solutions in the field of Artificial Intelligence to all types of audiences in a clear and precise manner.
- Identify their own training needs in their field of Artificial Intelligence and their work or professional environment and organise their own learning with a high degree of autonomy in all types of contexts.
- Career opportunities
Career opportunities
Artificial Intelligence is used in a wide variety of sectors due to its versatility and its ability to improve efficiency and decision-making. AI can be used in companies or organisations in the fields of healthcare, industry, transport or services.
- Design and development of solutions for natural language processing: automatic translations, assistants, interfaces, etc.
- Design of virtual and augmented reality applications.
- Design of interfaces for robots, advanced programming and collaborative robotics.
- Construction of intelligent systems in the financial, health, bioinformatics, etc. sectors.
- Optimisation of production processes in industry, commerce and distribution.
- Entrepreneurship: creation and management of innovative companies in the whole area of intelligent systems.
- Applications and research in medicine, automobiles, social networks, marketing, commerce, etc.
Study in english
Studies in English only
This degree is taught entirely in English at the Leganés Campus. Please note that:
- In groups taught in English, all work (classes, exercises, practicals, exams, etc.) will be carried out in English.
- During the first year, a B2 level of English must be accredited by taking a test, providing one of the official certificates accepted, or in the manner determined by the university.
- Once the Degree has been completed, the Degree Supplement will mention that the studies have been carried out in English.
Studies in Spanish only
This degree is taught entirely in Spanish at the Colmenarejo Campus.
Schedules
Schedules and calendars
- Academic calendar
- Timetables for the 2025/26 academic year will be published soon.
Quality
Facts about this bachelor's degree
Year of implementation: 2025
Places offered:
- Leganés Campus: 35
- Colmenarejo Campus: 30
Official Code: 1500381
Evaluation and monitoring
Verification report of the Bachelor's Degree in Artificial Intelligence