24 monthsProgramme duration
21,000 EURTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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 (TU/e) 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.
AI&ES is a next-generation master's program designed for students passionate about leveraging AI to revolutionize engineering systems. This program provides a comprehensive understanding of machine learning, data-driven decision-making, human-AI interaction, and engineering principles, enabling graduates to design real-world AI applications in diverse fields.
Located in Brainport Eindhoven (Europe’s “Silicon Valley”), TU/e is at the heart of the Netherlands’ tech sector. TU/e’s strong ties with industry and research institutions make this master’s program a prime choice for students aiming to bridge the gap between AI advancements and engineering applications. The region is a global leader in semiconductors, with companies such as ASML and NXP Semiconductors leading innovation. This growth is supported by a €2.5 billion national initiative National Reinforcement Plan for Microchip Talent, the ‘Beethoven’ talent plan, to strengthen the Dutch technology industry.
Four departments of TU/e have a crucial role in making this happen, and AI&ES contributes by preparing you for the collaboration between state-of-the-art research in the semiconductor industry and AI. For example, courses such as Neuromorphic Computing or Intelligent Architectures, as well as specialization courses or free electives on topics such as Spiking Neural Networks or Brain-inspired semiconductors, are part of the curriculum.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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 (TU/e) 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.
AI&ES is a next-generation master's program designed for students passionate about leveraging AI to revolutionize engineering systems. This program provides a comprehensive understanding of machine learning, data-driven decision-making, human-AI interaction, and engineering principles, enabling graduates to design real-world AI applications in diverse fields.
Located in Brainport Eindhoven (Europe’s “Silicon Valley”), TU/e is at the heart of the Netherlands’ tech sector. TU/e’s strong ties with industry and research institutions make this master’s program a prime choice for students aiming to bridge the gap between AI advancements and engineering applications. The region is a global leader in semiconductors, with companies such as ASML and NXP Semiconductors leading innovation. This growth is supported by a €2.5 billion national initiative National Reinforcement Plan for Microchip Talent, the ‘Beethoven’ talent plan, to strengthen the Dutch technology industry.
Four departments of TU/e have a crucial role in making this happen, and AI&ES contributes by preparing you for the collaboration between state-of-the-art research in the semiconductor industry and AI. For example, courses such as Neuromorphic Computing or Intelligent Architectures, as well as specialization courses or free electives on topics such as Spiking Neural Networks or Brain-inspired semiconductors, are part of the curriculum.
Admission Requirements
English proficiency requirements
TOEFL (Test of English as a Foreign Language)
- Minimum overall score: 90
- Minimum score per section: 21
- Only TOEFL internet-based test (iBT) is accepted
- All scores must be from one test date
- MyBest Scores is not accepted
IELTS (Academic version)
- Minimum overall score: 6.5
- Minimum score per section: 6.0
- All scores must be from one test date
- IELTS online test is not accepted
- IELTS One Skill Retake is not accepted
University of Cambridge
- C2 Proficiency (CPE): overall score 180, minimum of 169 per section, or
- C1 Advanced Certificate (CAE): overall score 176, minimum of 169 per section
- All scores must be from one test date
LanguageCert Academic
- Minimum overall score: 70
- Minimum score per section: 65
- All scores must be from one test date
- Online tests are not accepted
Pearson PTE Academic
- Minimum overall score: 61
- Minimum score per section: 46
- All scores must be from one test date
- Online tests are not accepted
Note: No other language tests are accepted. Test results must be no older than 2 years.
Tuition fees
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