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Double Degree in Robotics + Data Science and Artificial Intelligence

Can you imagine designing technology that not only obeys instructions, but also perceives its environment, reasons and collaborates with human beings?

At UDIT we train you to master the most demanding intersection of current engineering. We combine the tangibility of robotics with the analytical power of Artificial Intelligence so that you don't have to choose between building the machine and programming its mind.

With this double degree, you will acquire a unique holistic view: you will design the mechanics, electronics and sensorics (the body) while developing the Deep Learning and machine vision algorithms (the brain) that grant real autonomy. It's not just theory; it's the practical ability to create systems that transform complex data into useful physical actions.

Get ready to be the nexus that industry needs. A professional capable of creating assistive, collaborative and autonomous robots, always putting technical innovation at the service of people.


Un hombre trabaja en la parte técnica de un robot humanoide en un laboratorio.
Un hombre trabaja en la parte técnica de un robot humanoide en un laboratorio.
The essentials

Key Data

All the essential information you need to know about this degree.

  • Campus
    Tecnología, Innovación y Ciencias Aplicadas
  • Languages
    Spanish
  • Modality
    On-campus
  • Certification
    Official
  • Duration
    5 years
  • Credits
    372 ECTS
  • Starts On
    07/09/2026
  • Schedule
    1st and 2nd year: morning, 3rd, 4th and 5th year: afternoon
  • Seats
    70

Do you want to know more?

If you want more information you can fill in the following form and we will send you the official brochure with all the information you need.

UDIT STYLE

THE ENGINEERING OF THE FUTURE IS LEARNT AT UDIT

Choosing the Double Degree in Robotics and Data Science and Artificial Intelligence at UDIT means deciding not to set limits to your future. Here you don't have to choose between building the machine or programming its mind: we train you to master both. At the leading university in technology and innovation, you will become the most complete profile in the market: someone capable of understanding the world through data and transforming it through robotics.

Robotics with purpose: Technology for people

At UDIT we are very clear that technology only makes sense if it serves to help people. That is our hallmark: robotics focused on people. You will not simply learn to assemble metal parts; you will create robots capable of caring for, assisting and collaborating with us safely.

From day one you will work with an ethical vision, using our laboratories to design real solutions that are not only technically complex but also useful to society. Because a robot is not just an intelligent device, it is a tool to improve lives.

Artificial Intelligence beyond theory

Forget about studying Artificial Intelligence by looking at a blackboard. At UDIT, you learn Data Science by touching reality. You'll understand how the algorithms that drive the world work - from your social media feed to the traffic lights in a city - and, best of all, you'll learn how to create them yourself.

Our philosophy is simple: learn by doing. Get ready to use cutting-edge technology and train your own AI models with real data, making decisions that matter. You don't just come here to watch them come; you come to programme change.

Live the technological experience at UDIT

Studying this Double Degree is much more than just going to class; it is entering fully into the Technology Area at UDIT. You will not be just another number on a list, but part of a community of creators, programmers and engineers who share your passion.

Here the training goes beyond the classroom. You'll take part in hackathons, collaborate on projects with students from other disciplines and make the most of a campus full of tools. And remember that you don't get in because of a cut-off mark, but because of your talent and your desire to create. If you're looking for a place where professors are mentors and your classmates can be your future partners, this is the place for you.

winners

UDIT Recognised in international rankings

Our University has been awarded  nationally and internationally with more than 300 awards, including the National Design Award, theEducation and Training Award at the Madrid Open Cities Awards or the highest score in the international QS Ranking for teaching quality and employability.

Grupo de estudiantes trabajando en computadoras en un aula moderna.
Logo que representa la calidad docente y empleabilidad con cinco estrellas.
Logotipo de los Premios Nacionales de Innovación y de Diseño.
Logo de los Premios Madrid Open Cities.
Un ponente habla frente a una audiencia sobre la importancia de disfrutar el camino y descubrir quiénes somos.

We advise you

You may have doubts about whether this degree is what you are looking for, whether it is for you or whether you might be better suited to one of our other degrees. Don't worry, it's normal.

We want to help you. Schedule a video call or a campus visit and we'll give you clear, no-obligation advice.

Study Plan

The Syllabus of the Double Degree in Robotics and Data Science and Artificial Intelligence is divided into 372 ECTS credits divided into 5 courses.

Official Certifying Centre

You will be able to access top-level software and application certifications that will complement your university education and enhance your CV and employability.

Logo de Palo Alto Networks.
Icono de Microsoft Office en color negro sobre fondo blanco.
Logotipo de la certificación IC3 en alfabetización digital.
Logo de una aplicación de programación.
Certificación de Microsoft Azure Fundamentals para el examen AZ-900.

Programming Languages

You will master the most widely used programming languages, development environments and software tools for professional use today.

Logo de Java con referencia a Java JDK y Java JRE.
Logo de Python que muestra dos serpientes entrelazadas en azul y amarillo.
Logo de MATLAB, un software de programación y análisis numérico.
Logotipo de Vue.js en formato gráfico.
Logo de Visual Studio en tonos morados.
Logo de Dev C++ que muestra un diseño moderno y colores llamativos.
Logo de Eclipse, una popular plataforma de desarrollo de software.
Logo de Arduino IDE que representa la plataforma de programación.
Imagen que representa el logo de Proteus con un átomo en el centro.
Logotipo de LTspice, un software de simulación de circuitos electrónicos.
Logotipo de Robot Studio en un fondo blanco.
El logo del simulador Gazebo que representa un diseño moderno y minimalista.
Imagen del logotipo de Autodesk Fusion 360.
Logo de AutoCAD, un software de diseño asistido por ordenador.
Logo colorido de Figma, una herramienta de diseño colaborativo.
La imagen representa el logotipo de KiCad, un software de diseño electrónico.
El logotipo del lenguaje de programación C++ en un fondo claro.
Logo del lenguaje de programación C# en un diseño hexagonal.

Software Tools

You will learn to operate industry-standard robotic simulation and data analysis software, from mechanical design to intelligent model training.

Logotipo de Microsoft SQL Server con un diseño moderno y un fondo negro.
Imagen del logotipo de MongoDB que muestra una hoja verde acompañada del texto 'mongoDB'.
Logotipo de OpenCV que consiste en tres círculos entrelazados en colores rojo, verde y azul.
Logo de Tableau que consiste en varios símbolos de suma de diferentes colores.

Development Environments

You will be trained in the working and deployment ecosystems used by elite engineering teams, integrating hardware control with cloud computing.

Logo de Express.js, un marco de aplicación web para Node.js.
Logo de Visual Studio en un fondo blanco.
Logotipo de TensorFlow, una plataforma de aprendizaje automático.
Logo de Apache en forma de hexágono con colores vivos.
Un logo circular con la palabra 'Eclipse' escrito en la parte inferior.
Logo de la marca Anaconda.
Logotipo de NLTK que representa un símbolo relacionado con Python y NLP.

STRATEGIC LINKS

We arepartners of the main technology clusters:

Logo de OdiseIA con un dise�ño moderno y minimalista.
Un programador trabaja en su computadora mientras se proyectan códigos en la pared oscura.
Employability

Connecting with companies

The relationship between University-Business is vital for the professional success of students.

This is why professional internships are a fundamental aspect of the curricula of all our degrees. UDIT works constantly to promote partnerships with companies, developing an ecosystem of companies and institutions that collaborate in the professional development of our students. We have signed more than 2,400 active internship agreements with leading companies in the sector, such as the following:

Logo de la empresa NTT Data en fondo negro.
Logotipo de la empresa Ferrovial sobre un fondo negro.
Logo que representa la marca Singularthings en un fondo negro.
Logotipo de la Fundación ONCE en un fondo negro.
Logotipo de El Corte Inglés en color blanco sobre fondo negro.
Logotipo de Openbank sobre un fondo negro.
Logo de la empresa Fujitsu sobre un fondo negro.
Logotipo de la empresa Atos sobre un fondo negro.
Logotipo de la empresa ING con un fondo negro y un león.
Logo de la firma de consultoría Deloitte.
El logotipo de Accenture en un fondo negro.

Open Days

The perfect opportunity for you to visit our facilities and learn first-hand about UDIT's training offer.

Career opportunities

Upon completion of the Double Degree in Robotics and Data Science and Artificial Intelligence, you will have a hybrid profile in high demand, enabling you to work in areas and positions such as...

  • Robotic systems developer (industrial, collaborative and service)
  • Software architect for robotics and autonomous systems
  • Designer of mechanics, electronics and sensorics for robots
  • IoT solutions and cyber-physical systems developer
  • Human-robot interaction and user experience designer (HMI/UX)
  • Machine Learning and Artificial Intelligence Engineer (Machine Learning Engineer)
  • Data Scientist
  • Computer Vision and Deep Learning Solutions Developer
  • Natural Language Processing (NLP) and Generative Modelling Engineer
  • Architect of Big Data and massive processing systems
  • Process control and automation systems analyst
  • Digital transformation and business intelligence consultant (Business Intelligence)
  • Technological innovation project manager (R&D&I)
  • Data & Analytics Manager
  • Entrepreneur of technology-based startups

The largest Technology and Applied Sciences campus in Madrid

Our university campus has the best technological and professional equipment used in large companies. You will have 21,000 m2 spread over three buildings with state-of-the-art facilities designed for your learning and practice.

International Experience

At UDIT we are constantly working to foster partnerships with the best universities and companies related to design and advertising.

At UDIT we seek to promote unique experiences for our students, incorporating international experience and solidarity in your time at the university.

You will have the opportunity to participate in solidarity seminars, workshops, courses or conferences in English, and take part in trips, workshops, experiences and international programmes.

Un grupo de personas posando frente a una catedral impresionante en Milán.

You will have the opportunity to participate in workshops, courses or conferences in English, and take part in international trips, workshops, experiences and programmes.

TEACHERS

We have a first class teaching staff.

Professionals with years of experience both in teaching and in companies in the Design, Communication, Advertising or Technology sectors.

Fernando Blázquez Piñeiro

Degree in Physics (specialising in Automatic Calculus) from the Complutense University of Madrid, with a Diploma in Advanced Studies from the Schoo

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Dr. David Alonso Urbano

Director of the Degree in Video Game Design and Development. Computer Engineer and Master in Image, Advertising and Corporate Identity. He teaches th

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Dra. Carolina García Vázquez

PhD from the Universidad Politécnica de Madrid as part of the PhD programme in Systems Engineering and Services for the Information Society. 

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Dr. Pablo Nogueira

Pablo holds a PhD in Computer Engineering from the UPM. Pablo holds a PhD from the University of Nottingham in the UK. He has participated in the impl

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Sandra Garrido Romero

Graduate in Mathematics and Computer Science from the Polytechnic University of Madrid. She has worked in several consultancy projects. She is curr

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Maximiliano Miranda Esteban

Computer Engineer with a degree in Video Game Design and Development from UDIT  University. I am currently working as lead software engineer a

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Luis Rubio Martínez

Bachelor in Creative Media Production from the University of Essex. He teaches Visual Programming for Video Games, Graphics Engines and Plugins, Graph

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Dr. Fernando Xavier De Rada Briega

Degree in Physics from the Universidad Autónoma de Madrid. He teaches Video Game Production II in the Video Game De

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Ángel Rodríguez Ballesteros

Bachelor of Arts in Creative Media Production from the University of Essex. She teaches Development for Mobile Devices, Advanced 3D: Characters and Sc

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Ángel Luis Marinas

Ángel Luis Marinas Díaz is a Computer Engineer from the Complutense University of Madrid. He teaches on the Degree in Video Game Design and Develop

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Javier Pascual Soriano

Lover and worker of professional audio, music, Blockchain (Web3, ICOs & NTFs), university professor, engineering, Programming, Robotics & I

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David Antonio Rosas Espín

Researcher at UDIT (GUMTS Group). Previously, at UNIR and UGR, developing inclusive educational technology. He leads at UDIT the TEXT

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Carlos Cerro Moreira

Graduate in Computer Science from the Polytechnic University of Madrid. I believe in continuous learning, a result of my curious natu

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DR. Miguel María García Caba

PhD in Law. Associate Profe

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Dorealda Dalipaj

Degree in Computer Science from La Sapienza University of Rome, Master in Computer Engineering, Computer Science and Statistics (spec

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Brigida Coromoto

B.Sc. and M.Sc. in Mathematics from the Universidad Central de Venezuela (UCV), and Ph.D. in Computer Science from the UCV in coopera

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Dr. Luis Miguel Danielsson Villegas

He completed his PhD at the IMDEA Software Institute, earning the title of Doctor in Software, Systems and Computing from the Polytec

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Gustavo Bermejo Martín

PhD in Industrial Organisation (cum laude; UPM), Telecommunications Engineer (UPM) and Executive MBA (IE Business School).

I ha

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Admission Process

Just follow these four simple steps

Request Information

Fill in the following form, call us on 91 555 25 28 or write to us at orientacion.universitaria@udit.es and solve all your doubts about the qualifications you are most interested in.

Come and visit us

Arrange a visit to our Madrid campus from Monday to Friday from 10.00 to 18.00 hours, sign up for the Open Days we hold on Saturdays or the online information sessions.

Admission process:

University Degrees: to guarantee the best match between your profile and the degree chosen, the admission process includes two tests:

  • Psychopedagogical test
  • Personal interview with the academic department of the degree

Formalise your enrolment

Once you have taken the test and have been informed of your admission to UDIT, you must book your enrolment to guarantee your place for the next course. Places are allocated in strict order of booking.

NEWSLETTER

Be part of the creative network that is transforming design, technology and education.

Get news, events, launches and opportunities from the UDIT universe before anyone else. For inquiring minds looking to go one step further.

Frequently Asked Questions

  • Because at UDIT we offer you a unique opportunity to lead the next industrial revolution. We combine the practical and creative methodology of our Bachelor's Degree in Robotics with the analytical rigour of Data Science. The current market is no longer looking for isolated profiles; it demands "Full-Stack" automation engineers: professionals capable of designing the robot's body (mechanics and electronics) and programming its mind (Artificial Intelligence and Data) so that it can make autonomous decisions.

  • You need a hybrid and versatile profile. On the one hand, you need to develop logical and spatial thinking to design mechanisms and understand the physics of robots. On the other, you need analytical skills to find patterns in data and create efficient algorithms.[1] But above all, you need curiosity and ethics: at UDIT we don't just train technicians, we train the people who will define how humans and intelligent machines will coexist in the future.

  • You will leave with full technical proficiency. You will use languages such as Python, C++ and SQL; you will handle industrial operating systems such as Linux and ROS 2 (Robot Operating System); and you will work with Artificial Intelligence and Simulation environments such as TensorFlow, PyTorch, Gazebo and MATLAB. In addition, you will be trained with visualisation and cloud tools such as Tableau, Microsoft Azure and AWS.

  • Projects will follow our Learning by Doing methodology, increasing in complexity each year. Some real examples are:

    • Design and programming of autonomous mobile robots that navigate in unknown environments.
    • Training of neural networks for a robotic arm to recognise and manipulate objects using Computer Vision.
    • Development of virtual assistants and Natural Language Processing (NLP) systems.
    • Creation of IoT (Internet of Things) systems that capture sensor data in real time to optimise industrial processes.
  • They are inseparable pieces of the same puzzle. Robotics provides the "body" and the ability to act in the physical world. Data Science enables that robot to understand its environment by capturing and processing sensor data. And Artificial Intelligence is the "brain" that uses that data to learn, adapt and make decisions without human intervention. Studying all three together exponentially multiplies your capacity for innovation.

  • If you want to study this Double Degree, you can do so by fulfilling the legal entry requirements (EVAU, FP Superior, etc.). However, the recommended entry profile is clearly the Bachelor's Degree in Science and Technology. It is very important that you have a good grounding and agility in Mathematics and Physics, as well as a real interest in computer science and technology.

  • The first step is to request information (web, telephone 91 555 25 28 or email orientacion.universitaria@udit.es). The next step is to take our own admission test, which aims to find out your skills and motivation. Once you have been admitted, make a registration reservation to guarantee your place. Places are allocated on a first-come, first-served basis.

  • Yes, absolutely. Upon completion, you will obtain two official Bachelor's degrees: the Bachelor's Degree in Robotics and the Bachelor's Degree in Data Science and Artificial Intelligence. Both are verified by ANECA and internationally recognised. You should be careful with other offers on the market that are not Official Degrees; to check, you can always consult the RUCT (Register of Universities, Centres and Degrees).

  • This is UDIT's differential approach. While traditional engineering focuses only on the efficiency of the machine, we focus on interaction. You will learn to design service, assistance and collaborative robots (cobots) designed to work alongside humans in a safe, natural and ethical way, improving people's quality of life.

  • UDIT does not require a cut-off mark to access this Double Degree. We believe in vocation above a tenth. However, due to the high demand and technical demands of the programme, students must pass our specific admission tests to ensure that their profile is suitable for the degree.

  • Of course. As we offer two Official Degrees, you can apply for all public grants (Ministry and Community of Madrid). In addition, these are compatible with our internal study grants. If you have a good academic record or if technology is part of your DNA, don't hesitate to apply.