Bachelor’s Degree in Engineering Mathematics and Artificial Intelligence

Please check here for all of the information concerning teaching activities and how they will be carried out in the 2020-2021 academic year.

Admission request

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01/10/2020 a 30/04/2021

45 places available

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Open days/
Information Sessions

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Open Day:

December 18, 2020
February 5, 2021
April 9, 2021

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4 years / 240 ECTS

Face to face
Spanish - English



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Timetables and y exams

Official status of the Degree

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“Would you like to work as an Engineer in Artificial Intelligence, one of the most sought after professions of the future?”

Here are some reasons to enroll in the Bachelor's Degree in Engineering Mathematics and Artificial Intelligence

The Bachelor's Degree in Engineering Mathematics and Artificial Intelligence (*), taught in the ICAI School of Engineering (Comillas ICAI), is an innovative program that responds to the great need, both at the present time and in the future for professionals who are capable of facing the challenges posed by Smart Industry and the Digital Economy. This new degree offers a solid education and training in Applied Mathematics, Computer Science and Artificial Intelligence, and is aimed at students who would like to be protagonists of the digital transformation of our times, and who have a strong desire to take on challenging projects or to be leaders in entrepreneurship.

Students of this degree will benefit from the most advanced teaching methodologies and study in laboratories equipped with the latest technology, with emphasis placed heavily on teamwork, practical training oriented to projects and entrepreneurship, and in permanent connection with the Business and Technological ecosystem that is leading digital transformation internationally. All of this is being organized and offered by Comillas ICAI, an institution that has been training committed and responsible Engineers for more than 100 years, capable of addressing the new digital reality and AI applications, always placing individuals, as people, at the center of importance.

This degree has a duration of four years and is taught in Spanish and English. Students in this program will be able to carry out international periods of stay abroad as exchange students, thanks to the international agreements that Comillas ICAI has signed with partner universities. The possibilities for employment in this degree include diverse posts in the major professions of the future. You may work in the field of Artificial Intelligence as a Data Scientist, Machine-Learning Engineer, or as a Computer Vision Engineer, among others, as well as in the creation and management of Technology-Based Companies, in Technological Consulting and in the field of Research and Development in Data Science and Artificial Intelligence.

(*) This degree is currently being approved for study.

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What makes us different

Group 3



Employment rate for ICAI School of Engineering graduates.

ICO 03



Percentage of graduates of the program who have carried out international exchanges during their studies.

ICO 04


Social Impact

Number of University students involved in Service-Learning Projects.

ICO 06


A Well-Rounded Education

Percentage of students from the ICAI School of Engineering who take subjects associated with the development of soft skills, (diploma for special skills).



Personalized Attention

Ratio of students to professors in the ICAI School of Engineering.

ICO 011


Level of Recommendation

Percentage of alumni of the University who would recommend the degree studied.

foto de David Contreras

Would you like to be the protagonist of the digital transformation of the future?

David Contreras Professor Comillas ICAI

All you need to know


Admissions Process


You may participate in Q&A Sessions and Information Days. This step is not required, but potential candidates are encouraged to delve into the Programs, learn about Study Plans and Curricula, ask questions, and gather additional information.

Applying for admission. The process begins via the web page, once the decision has been made concerning the Degree in which applicants wish to enroll. If deemed necessary, you may apply for scholarships, grants and financial aid from the University at the same time as you apply for admission.

Taking the entrance exams for the School or Faculty which offers the Degree. On the respective web pages of the Schools and Faculties at the University, you will find information on the type of exams that are administered, and even models of the exams carried out in previous years.

Communication and legal requirements for access to the University. Having been admitted does not exempt you from proving that you meet the legal requirements for access to the University. Meeting these requirements is an essential prerequisite in order to begin your studies at the University.

Completing the registration process. Once admitted, students must complete the registration process, which is initiated on the web page. It is necessary to submit the registration form and the additional documentation required personally to the University General Registrar's Office before the end of June.

Admission exams: May, 8, 2021.

Classes start in early September.

The Pre-University Campus, is designed for those students who wish to facilitate a smooth beginning as they start their University life. It takes place at the end of August.

Support program for students with disabilities


Important Dates

  • Submission of applications: October 1, 2020 to April 30, 2021.
  • Information Sessions and University Open Days: You may consult the dates for the next Information Sessions here.
    Admission Exam: May 8, 2021.


Applicant Profile/Requirements and Documentation


Profile for Graduates of the Degree:

Candidates are recommended to access the degree from the branch of studies in Science and Technology, followed during their High School Education, having taken subjects in Mathematics, Physics, Technical Drawing and Chemistry, which will facilitate their adaptation to Undergraduate studies. Similarly, the preferred fields of Advanced Vocational Training Programs (CFGS) (“Ciclos Formativos de Grado Superior”) for access to this degree are the areas of Electricity and Electronics, as well as Mechanical Manufacturing.

The main personal and academic characteristics that make up the recommended entry profile for candidates to the degree are the following:
- Interest in scientific and technological knowledge.
- Ease of calculation and logical reasoning in problem solving.
- Facility for learning, a large capacity for work and a predisposition for organizational skills.
- Ability to analyze and synthesize information.
- Responsibility in carrying out individual work and skills for teamwork.
- Predisposition to apply concepts and put knowledge into practice.

Requirements and Documentation

To begin your studies is a prerequisite condition prove you accomplish with the legal requirements of access to the University.
Information about the documentation to submit


Information on Financial Aid, Grants and Scholarships


Course fees: € 1,576.65 plus nine monthly installments of € 1,300.80 each.

The price may vary for the diploma in English and the third language (all levels) will consist of 12 ECTS in the First Year of studies.

More study grants


Contact Information


Future Students Office

C/ Alberto Aguilera, 21 - 28015 Madrid
Tel.: +34 91 540 61 32

Fax: +34 91 559 65 69

Office hours: From Monday to Friday from 9:00 to 13:30 h
Monday to Thursday from 15:30 to 19:00 h


To Apply for Admission


Are you convinced about studying this degree? You need not wait any longer!

Application for admission

Who are you going to study with and what are you going to learn

Curriculum Flecha DownCreated with Sketch.

Programming 6.0 ECTS  
Algorithms and Data Structures 6.0 ECTS  
Christianism and Social Ethics 6.0 ECTS  
Mathematical Analysis and Vector Calculus 12.0 ECTS  
Algebra and Geometry 12.0 ECTS  
Physics 9.0 ECTS  
Statistics and Probability 9.0 ECTS  
Differential Equations 6.0 ECTS  
Discrete Mathematics 6.0 ECTS  
Electronic Systems 6.0 ECTS  
Programming Paradigms and Techniques 6.0 ECTS  
Artificial Intelligence fundamentals 6.0 ECTS  
Dynamic Systems 6.0 ECTS  
Numerical Methods 6.0 ECTS  
Data Acquisition 6.0 ECTS  
Optimisation and Simulation 6.0 ECTS  
Machine Learning 6.0 ECTS  
Computational Geometry 3.0 ECTS  
Human cognition and Artificial Intelligence 6.0 ECTS  
Databases 6.0 ECTS  
Autonomous mobile robots 6.0 ECTS  
Computer vision I 3.0 ECTS  
Big Data Architecture 3.0 ECTS  
Advanced Mathematics 3.0 ECTS  
Time Series Analysis and Forecasting 3.0 ECTS  
Natural Language Processing I 6.0 ECTS  
Data Visualization 3.0 ECTS  
Deep learning 3.0 ECTS  
Software Engineering and Application Development 6.0 ECTS  
Big Data Processing Technologies 6.0 ECTS  
Entrepreneurship and Innovation Project 3.0 ECTS  
Technologies for digital transformation 3.0 ECTS  
Natural Language Processing II 6.0 ECTS  
Reinforcement learning 3.0 ECTS  
Computer vision II 6.0 ECTS  
Economy & Business 6.0 ECTS  
Cybersecurity and data protection 3.0 ECTS  
Quantum Computing 3.0 ECTS  
Disruptive business models 3.0 ECTS  
Ethics and Artificial Intelligence 3.0 ECTS  
Electives 12.0 ECTS  
Bachelor thesis 12.0 ECTS  
Internships 12.0 ECTS  
Entrepreneurship Project 12.0 ECTS  
AI Lab 12.0 ECTS  
Research Project 12.0 ECTS  

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