We shape the future of AI-driven engineering, will you join us?
Artificial Intelligence (AI) is transforming the world, and at its core lies the intricate relationship between AI and Engineering Systems (ES). The Master's in Artificial Intelligence & Engineering Systems (AI&ES) at Eindhoven University of Technology (黑料福利网) bridges these two critical domains, equipping students with cutting-edge AI techniques and robust engineering expertise to innovate and lead in the evolving technological landscape.
WHY THIS PROGRAM?
- Highly Interdisciplinary Program
AI&ES is a unique collaboration between seven departments at 黑料福利网 and more than 40 research groups, combining expertise across disciplines to provide a well-rounded education. This breadth of expertise creates a truly interdisciplinary program, where you learn to connect technology, systems, and real-world applications. - Industry-Oriented & Research-Driven
AI&ES prepares you for both industrial careers and academic research with hands-on projects, internship, and collaborations with top tech companies. The program integrates AI, data science, programming, engineering, ethics, and human interaction, making graduates highly competitive in diverse industries. - Strong Career Prospects
Graduates of AI&ES are in high demand across industries including high-tech systems, robotics, mobility, healthcare, smart cities, and manufacturing.
Why Artificial Intelligence and Engineering Systems?
Watch a short introduction video here.
WHAT WILL YOU LEARN?
Artificial Intelligence & Engineering Systems (AI&ES) is a next-generation Master鈥檚 program designed for students who want to leverage AI to transform engineering systems and address complex societal challenges. The program offers a strong foundation in machine learning, data-driven decision-making, human-AI interaction, and core engineering principles. This integrated approach enables graduates to design, develop, and implement real-world AI solutions across a wide range of applications.
The program is built around three core knowledge domains that underpin its intended learning outcomes:
- Systems Engineering: equips you with the skills to model, analyze, and design complex engineering systems in which AI plays a central role.
- Data and Algorithms: focuses on developing expertise in machine learning, data analysis, and algorithmic thinking, forming the technical backbone of AI-driven solutions.
- Human-AI Interaction and Ethics: emphasizes the responsible design and deployment of AI, preparing students to consider usability, transparency, and societal impact.
By combining these domains with its interdisciplinary master鈥檚 tracks, AI&ES trains graduates to think critically across boundaries, collaborate effectively with experts from different fields, and translate cutting-edge AI technologies into meaningful, real-world innovations. The result is a future-oriented program that prepares students to become engineers and innovators who shape the intelligent systems of tomorrow.
Master's tracks
A key strength of AI&ES is its interdisciplinary design, reflected in six specialized tracks that allows you to align your studies with your interests and career ambitions.
Each track connects advanced AI methods with domain-specific challenges, ensuring that students gain both technical depth and applied insight.
"I鈥檓 applying AI where it really matters"
During my HBO Bachelor's, I was already very interested in the field of Machine Learning; AI wasn鈥檛 the term back then as it is ...
Freek Klabbers
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NVAO Accreditation
This program is NVAO-accredited. In the Netherlands, the NVAO assesses the internal quality assurance of universities and colleges and the quality of their programs.