Information for:
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COURSE
4 years
CURSO
4 years
CREDITS:
240 ECTS
MODE:
Face-to-face in Madrid
LANGUAGES:
English - Spanish (bilingual)/ Spanish
DATE:
September 2023
AVAILABLE SPOTS:
60
SCHEDULE:
1st and 2nd year (morning), 3rd and 4th year (afternoon).
Become an expert in the world’s fastest growing technology. You will be able to study in bilingual mode (Spanish/English).
Guaranteed internships. Combine your classes with real company experience thanks to our agreements.
You will complete your technical training with three official Cloud certifications of worldwide validity included in your registration (Microsoft, Google, Amazon)
You will be trained in state-of-the-art facilities containing the technological and professional equipment used in large companies.
Our University Campus located in the heart of Madrid is full of activities, masterclasses, catwalks, contests, fairs, events, etc. to maximise students’ creativity.
Precursors in elevating design degrees to the university level, creating the first Official Degrees in Product Design, Fashion Design, Interior Design, Video Game Design and Development or Multimedia and Graphic Design.
We have numerous agreements with some of the best universities in the world of design so that our students can incorporate international and multicultural experience into their time at university.
The very typology of our degrees allows us to use a learning methodology based on real projects. We seek your excellence.
More than 2,200 agreements signed with leading companies in the sector for the professional practice of our students; advice and exchange of experiences and research.
More than 13,000 m2 of specialised facilities with the best resources and equipment used by large companies in the sector.
The Data Engineering and Artificial Intelligence Degree Curriculum consists of 240 ECTS credits divided into 4 courses.
Consult the Teaching Guides for the Data Engineering and Artificial Intelligence Degree in Spanish:
*Degree verification in process
INCLUDED OFFICIAL CERTIFICATIONS
During this first course you will acquire interdisciplinary knowledge in artificial intelligence and Big Data as well as training in statistics and innovation. You will get a solid foundation in programming and mathematics.
| Subject | Semester | ECTS credits | Hours |
|---|---|---|---|
| Mathematics for computing | 1 | 6 | |
| Logic for Artificial Intelligence | 1 | 6 | |
| Programming I | 1 | 6 | |
| Fundamentals of Statistics and Probability | 1 | 6 | |
| Innovation Fundamentals | 1 | 3 | |
| Basic Personal & Communication Skills | A | 6 | |
| Machine Learning & AI Fundamentals | 2 | 6 | |
| Algorithms, Data Structures and Complexity | 2 | 6 | |
| Platforms for AI and Big Data | 2 | 3 | |
| Structured Databases | 2 | 6 | |
| Programming Workshop I | 2 | 6 |
You will go deeper into programming, cloud computing and data management and start working on digital economy, innovation and information systems in the business environment.
| Subject | Semester | ECTS credits | Hours |
|---|---|---|---|
| Automated Learning | 1 | 6 | |
| Data Science Fundamentals | 1 | 6 | |
| Software Project Management | 1 | 6 | |
| Programming II | 1 | 6 | |
| Advanced Personal & Communication Skills | A | 6 | |
| Programming Workshop II, III | A | 6 | |
| Data Mining | 2 | 3 | |
| Cloud Computing | 2 | 6 | |
| Discrete Mathematics | 2 | 6 | |
| Information Systems in the Enterprise | 2 | 3 | |
| Digital Economy | 2 | 3 | |
| Innovation Methodology | 2 | 3 |
In this course you will work on data visualisation, projects, systems and databases while learning about the legal and security framework in business, data and information technology.
| Subject | Semester | ECTS credits | Hours |
|---|---|---|---|
| Operating Systems | 1 | 6 | |
| Deep Learning | 1 | 6 | |
| Integrating Project | 1 | 3 | |
| Unstructured Databases | 1 | 6 | |
| Data Visualization | 1 | 3 | |
| Innovation Technology | 1 | 3 | |
| Natural Language Processing and Generation | 2 | 6 | |
| Information and Data Technology Security | 2 | 6 | |
| Legislation, ethics, deontology and sustainability | 2 | 3 | |
| Computer Vision | 2 | 6 | |
| Integrating Project | 2 | 3 | |
| Analysis of Data in Virtual Universes (Optional) | 2 | 6 | |
| Use of data from social media, web and other media (Optional) | 2 | 6 | |
| Academic Credit Recognition (RAC) (Elective) | 2 | 6 |
You will continue your training in big data management and handling while adding knowledge of entrepreneurship, management and new AI techniques, as you undertake your internship in a technology company.
| Subject | Semester | ECTS credits | Hours |
|---|---|---|---|
| Big Data Management | 1 | 6 | |
| Big Data Infrastructure | 1 | 3 | |
| Internet of Things | 1 | 3 | |
| New Artificial Intelligence Techniques | 1 | 6 | |
| Startup and management | 1 | 3 | |
| External Academic Internships | 2 | 18 | |
| Final Degree Project | 2 | 12 | |
| AI in the creative field (Optional) | 2 | 6 | |
| Workshop on content generation with AI (Elective) | 2 | 3 | |
| Dynamic Data Visualisation (Optional) | 2 | 6 | |
| Creating Data Narrative (Elective) | 2 | 3 |
The relationship between University/Business is vital for the professional success of the students, which is why professional internships are a fundamental aspect of the curricula of all our degrees. UDIT is constantly working to foster partnerships with companies, developing an ecosystem of companies and institutions that collaborate in the professional development of our students.
We have signed more than 2.000 active internship agreements with leading companies in the sector such as:
My time at UDIT has been a huge and wonderful change in my life. I have cried, laughed and made connections with people that will last a lifetime. This is the first time I have felt comfortable in class because they have lecturers who make the classroom a safe place where you always learn. Thanks to teachers who are professionals in the industry and who empathise with their students and adapt to the circumstances quickly, the lessons, for the most part, become enjoyable and fun.
UDIT Alumni
Our university campus has the best technological and professional equipment, that is also used in large companies. You will have at your disposal 13,000 m2, spread over three buildings, with state-of-the-art facilities designed for your learning and practice.
Rooms with +400 PCs with dedicated software and RTX graphics cards
1,200 m2 of workshops
"You will learn the potential of these technologies and their applications in your projects"
"You will prototype your designs by creating real objects with state-of-the-art equipment and machinery."
At UDIT we are constantly working to foster partnerships with the best universities and companies related to design and advertising. We seek to promote opportunities for our students, incorporating international and multicultural experience into your time at university.
You will have the opportunity to participate in workshops, courses or conferences in English, and take part in international trips, workshops, experiences and programmes.
Exclusive partnership agreement. ESNE students will be able to access special conditions in courses given by the prestigious Colleges of the University of the Arts London. We are the only university institution in Spain with this type of agreement signed with UAL. Further information
At the end of the Degree in Data Engineering and Artificial Intelligence you will be able to work in areas and positions such as:
You can count on me to answer all your questions.
Student Advisor at UDIT
Yes, you have the option to study the Bachelor in Engineering of Data and Artificial Intelligence, as long as you have or are able to obtain a B2 level certificate in English.
Graduates of this university degree will be able to find professional insertion in one of the following positions:
This degree consists of 45 subjects spread over the four years of the course.
The curriculum is oriented towards the skills demanded by the labour market. It has been designed in conjunction with the leading technology companies operating in Europe, so it is tailored to the needs they demand.
You will be able to obtain these three certificates: Microsoft Azure Fundamentals (AZ900): It is aimed at beginners in Cloud architecture. It provides an overview of Azure’s functionalities. AWS (Amazon Web Services) Practitioner: Provides a fundamental understanding of AWS cloud concepts, services and terminology. For IT students looking to master the basics of the AWS Cloud. Google Cloud Certified: This Foundation level certification validates a broad range of knowledge about cloud concepts, as well as Google Cloud products, services, tools, features, benefits and case studies.
The market today demands professionals capable of understanding, developing and implementing data-driven solutions that enable companies to make better decisions and increase the value they contribute to society. The Degree is aimed at those of you who want to be experts in technology with the highest growth potential in the world.
During the four years of your degree you will acquire core knowledge that will train you as a data and artificial intelligence engineer. You will undertake a broad and specialised training programme that covers everything from the necessary mathematics to the most advanced applications such as artificial vision, natural language generation or imitation learning.
But not only that, at ESNE, the future UDIT, you will complete your technical training with three official Cloud certifications of worldwide validity, achieving a unique profile that will allow you to stand out in the market and above the competition.
Most companies nowadays demand profiles with these certificates, so by obtaining these certificates you will have a competitive advantage upon completion.
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