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Full time See Course MSc 2 years full time
Computer Science (8) Engineering (12)

FindAMasters summary

Embark on a transformative journey into the realm of cutting-edge technology with the Autonomous Systems (MSc) programme offered by EIT Digital. This master's programme delves deep into the world of self-driving cars, robotics, AI, and the Internet of Things, equipping you with the expertise to lead the charge towards autonomous systems. Through a blend of computer science and electronic engineering perspectives, you will explore a diverse range of topics including IoT, machine learning, robotics, and automation. The programme's unique structure includes hands-on workshops, group activities, and real-world internships in industries like autonomous vehicles and intelligent robotics. With a strong emphasis on practical skills and problem-solving, graduates emerge ready to seize a myriad of career opportunities in sectors spanning from finance to healthcare. If you possess a background in engineering or computer science, along with a solid grasp of programming and mathematics, this programme is your gateway to a dynamic career at the forefront of technological innovation. Join us today and drive the digital transformation with Autonomous Systems!

About the course

From self-driving cars to robotic assistants, the Internet of Things, and AI-based software solutions – the future is autonomous. However, as an emerging technology, autonomous systems hold both opportunities and risks. The key to navigating this potential minefield is not only understanding the technology itself but, more importantly, be able to confidently evaluate autonomous processes and maximise the trade-off between business impact and resources spent.

This is where EIT Digital comes into play. With our Autonomous Systems master's programme, you will acquire the skills and knowledge to drive the transition to autonomous systems.

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Entry Requirements

Applicants should have a basic understanding of programming, data structures and algorithms, and mathematics, including calculus, algebra, and statistics. A background in basic mechanics and systems theory is also beneficial. Please note that a strong grasp of C++ is required for some of the programme’s mandatory courses.

In some circumstances, relevant work experience may compensate for a lack of relevant degree. Such work experience should be justified in your letter of motivation.


Application Fee: A non-refundable application fee of 75 EUR

Registration Fee: A non-refundable deposit of 250 EUR

Please see the university website for further information on fees for this course.

 Course Content

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Where is University of Trento


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