TU Eindhoven (TU/e) will offer a new master's programme this autumn. It is intended for anyone who wants to study new systems at the intersection of AI and advanced engineering. The new master's combines the expertise of seven different departments.
The full name of the Master’s programme is Artificial Intelligence and Engineering Systems (AI&ES). Accreditation of the programme was recently approved by the Dutch-Flemish Accreditation Organisation (NVAO). The Artificial Intelligence and Engineering Systems Master’s programme is thus the second fully-fledged AI Master’s programme at TU/e. It is in line with TU/e’s ambition to train the AI engineers of tomorrow.
AI methods and techniques
The new master's is designed for students interested in studying and researching AI methods and engineering. This with the aim of developing new products in a wide range of applications. Think robotics, smart cities and health but also mobility and energy.
Interesting for industry
Marion Matters is vice-dean of the Faculty of Electrical Engineering and one of the people behind the new master. He is very pleased with the accreditation by the NVAO. "Applying AI in today's engineering systems is no trifle. It requires a relevant disciplinary base, combined with proficiency in both AI and engineering systems. The accreditation means we can start our new programme in September. And that is great news. Not only for us and for all students interested in AI and Engineering Systems, but also for industry."
Increasing interest in AI
Carlo van de Weijer, head of EAISI, our AI institute, agrees. "The application of AI in engineering systems is rapidly increasing in importance. We expect a second wave of AI applications in the industrial domain. High-tech companies like Philips, NXP and ASML have made it clear to us that they will need a large number of graduates with this profile in the foreseeable future."
Two-year programme
The two-year programme consists of core subjects, specialisation subjects, free electives, a teamwork project and a graduation project. It is also highly interdisciplinary. With this, TU/e continues a long tradition of interfaculty master's programmes. It covers seven faculties, each bringing its own expertise in AI and engineering systems.
Specialisation
The AI&ES programme also offers students six specialisation tracks. Each track represents an area of research from one or more participating faculties. The tracks are: High-tech systems and robotics; Mobility; Health applications; Smart cities; Foundations of AI and scientific applications; and Production systems.
AI as a core strategy
Research and education in artificial intelligence is a major ambition of TU/e. As part of this ambition, TU/e established EAISI as one of its four scientific institutes over two years ago. TU/e has also announced that it will invest more than 100 million euros in this field.
Data Science and AI master's
Last year, the Faculty of Mathematics and Computer Science launched the first full Data Science and AI master's programme. This programme focuses on the study and research of advanced data analysis techniques and AI methods and techniques. The master proved to be a success, with more than 150 students participating in the first year.
Source: TU/e
Photo: Pixabay
