Artificial Intelligence and Engineering Systems

The Master's program AI&ES is a new and unique program that responds to the industrial, societal, and academic need to apply artificial intelligence to solve engineering problems in an integral way.

AI&ES is an interdepartmental program in which the following seven TU/e departments are involved:
Electrical Engineering, Mechanical Engineering, Applied Physics, Built Environment, Biomedical Engineering, Industrial Engineering & Innovation Sciences, and Mathematics & Computer Sciences.
The Department of Electrical Engineering is the leading Department of this program.
As a master student AI&ES you get the opportunity to develop multidisciplinary skills in AI&ES domains and you will follow an exciting, high-quality program based on TU/e's strong educational and research programs.

Year 1 Core courses 30 EC
Specialization elective courses 20 EC
Interdisciplinary Team project 10 EC
Track relatedIf you would like to have more detailed information on the curriculum, you can go the AI&ES Education guide: https://educationguide.tue.nl/programs/graduate-school/masters-programs/artificial-intelligence-engineering.
Please, be aware, the information on this website is based on the academic year of that specific year. Amendments are subject to change.

Year 2 Free elective courses 15 EC
Graduation project 45 EC

Track relatedIf you would like to have more detailed information on the curriculum, you can go the AI&ES Education guide: https://educationguide.tue.nl/programs/graduate-school/masters-programs/artificial-intelligence-engineering.
Please, be aware, the information on this website is based on the academic year of that specific year. Amendments are subject to change.

Students with a BSc degree in Electrical Engineering, Mechanical Engineering, or Applied physics obtained at TU/e, Delft University of Technology or Twente University of Technology can be directly admitted. Make sure to register in Studielink before May 1st.
If you have another relevant University BSc degree and you would like to receive more information about admission and other requirements, please consult this website: https://www.tue.nl/en/education/become-a-tue-student.To be admitted to the Master's program AI&ES you will have to meet the following criteria:

Knowledge and skills acquired from a BSc level research university degree, equal to a Dutch university BSc degree level.
Knowledge of basic concepts of Engineering Systems (calculus, linear algebra, probability and statistics, design-optimization, signals, systems and applied physics)
Knowledge of basic concepts of Algorithms and Data Structures (linear algebra, probability and statistics, data-analysis, data-mining, programming, computer-architecture, logics, databases, data-structures, data science)
Knowledge of basics concepts of social context (ethics, cognition, social impact of technique)

Graduates of the Master AI&ES are technical specialists in an engineering area and in Artificial Intelligence who can design reliable innovative systems at the interface between these two areas with a good view on the multi-disciplinarity of this engineering field. They have specialized into one of the 6 tracks of the program, High-tech systems and Robotics, Mobility, Health applications, Smart cities, Science and Discovery and, Manufacturing systems.

You can enroll in the regular way via Studielink, or if you are an international student, through the university website (https://www.tue.nl/en/education/become-a-tue-student/).The deadline to enroll is May 1st, for all students.

This master program is highly interdisciplinary.

The Master's Program AI&ES is a two-year program, consisting of 120 EC, divided into the following components:

Year 1 Core courses 30 EC
Specialization elective courses 20 EC
Interdisciplinary Team project 10 EC
Year 2 Free elective courses 15 EC
Graduation project 45 EC

Track relatedThe core courses are all scheduled in the first year of the program. We distinguish six relevant topics:

- Tracks: select a specialization track. There are six tracks: High-Tech Systems & Robotics – Mobility – Healthcare - Smart Cities - Science and Discovery - Manufacturing Systems
- Core Courses: follow six courses, which offer you a broad, and solid basis in both AI&ES, covering the topics: Data science, Programming, Human interaction & ethics, Engineering systems,
Learning in AI, and Mathematics.
- Specialization elective courses. By selecting these courses, you develop in-depth knowledge and skills preparatory for a specific graduation direction.
- Free elective courses: give you the opportunity to shape your program to your own interests. Select courses from all TU/e master's programs or other universities.
- Interdisciplinary Team Project: a Challenge-Based-Learning project. You will collaborate in track teams to apply your knowledge on AI&ES to resolve real-life practical engineering problems.
- Graduation Project: an individual research project on a track related AI&ES topic.

Various companies are supporting this master program. Graduates with the profile of the AI&ES master are in high demand in the Brainport region, at national as well as at international scale.

Startdatum master september en februari / startdatum HBO alleen september

Students with a BSc degree in Electrical Engineering, Mechanical Engineering, or Applied physics obtained at TU/e, Delft University of Technology or Twente University of Technology can be directly admitted. Make sure to register in Studielink before May 1stIf you have another relevant University BSc degree and you would like to receive more information about admission and other requirements, please consult this website: https://www.tue.nl/en/education/become-a-tue-student.

In some situations, there are specific additional requirements to resolve deficiencies, the form and weight of which depends on the learning outcomes and contents of your BSc program. Deficiencies with respect to the AI&ES admission criteria can potentially be resolved in an AI&ES pre-master program or through homologation.
For more detailed information you can send an email to: ee.admission.aies@tue.nl.