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Autonomous Systems and Intelligent Robots - ICT Innovation (EIT Digital Master School), Master of Science (Technology)

From self-driving cars to robotic assistants, the Internet of Things, and AI-based hardware devices and 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 to not only understand the technology itself but, more importantly, be able to confidently evaluate autonomous processes and maximise the trade-off between business impact and resources spent.
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Master of Science (Technology)

Application period:

12 Feb 2024 – 11 Apr 2024

Language of instruction:



2 years, full-time


Relevant Bachelor's degree

Field of study:

Technology and Engineering


120 ECTS

Organising school:

School of Electrical Engineering


The Autonomous Systems and Intelligent Robots study programme is a combination of computer science and electrical engineering. During the programme, students will gain new skills in both areas. In computer science, relevant skills include Internet of Things (IoT), machine learning, artificial intelligence and robot vision. In electrical engineering, relevant skills are automation, robotics, control, embedded systems and communications.

Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of autonomous systems include autonomous vehicles, advanced robots in manufacturing and healthcare, industrial IoT, and autonomous devices in agriculture and home automation. The applications of autonomous systems also extend to software systems used in energy management and in other sectors.

The ICT Innovation programme has separate application periods and admission procedures from the other Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website.

Language of instruction

In the master’s programme, the language of instruction is English.

Tuition fees and scholarships

Students admitted to Master's Programme in ICT Innovation (EIT Digital Master School) - Autonomous Systems and Intelligent Robots are eligible for scholarships and liable for tuition fees according to EIT Digital's tuition fee and scholarship scheme.

Students are not liable for paying tuition fees to Aalto University or eligible for Aalto University scholarships. Please see programme website for more information.

Structure of studies

EIT Digital Master School programmes are double degree programmes in which studies are taken at two different universities in two different countries. The programme leads into two Master of Science degrees (double degree) from the two universities the student has studied in.

Overall, the two-year programme comprises a total of 120 ECTS credits:

  • Major (60 ECTS)
  • Innovation and Entrepreneurship minor (30 ECTS)
  • Master’s thesis (30 ECTS)


The programme is a double degree programme, which means that you will study at two European universities in two different countries. Aalto University offers AUS studies as both entry (first-year) and exit (second-year) studies. For an up-to-date list of universities, please visit the EIT Digital Master School website.

The first year is similar at all AUS entry point universities with foundation courses in

  • robotics
  • artificial intelligence (or machine learning)
  • modelling, estimation and control.

In addition, some elective courses may be chosen to prepare for a specialisation. An important part of the programme are also the Innovation and & Entrepreneurship (I&E) courses.

During the second year of studies, the student chooses a specialisation option offered by one of the exit point universities. The specialisation option offered at Aalto University is Intelligent Robots and Systems.

Aalto University specialisation offers a wide range of courses in robotics and intelligence systems, including theoretical foundations, key methodologies, and important hands-on skills. Elective courses include autonomous mobile robots, micro- and nano-robotics, neurorobotics, computer vision, robot manipulation, model-based control, sensor fusion, and machine learning methods. These courses provide students with comprehensive knowledge and skills in intelligent robotics and systems, both hardware and software and algorithms and applications. The specialisation allows students to learn how to construct intelligent, autonomous robots and systems. In addition, the specialisation is complemented by compulsory innovation and entrepreneurship courses.

More information on the programme content and curriculum can be found in the Student guide. There may be some changes to the courses for the academic years 2024–2026 — the new curricula will be published in April 2024, when they will also be visible in the Student guide


The EIT Digital Master School programmes are inherently international because the studies take place at two different universities in two different countries. The programme provides its students with a profound experience of working and studying in multiple countries in an international environment.

Further study opportunities

The programme qualifies for doctoral studies (Doctor of Science in an applicable field).

Career opportunities

At the moment, the job market looks very promising. Automotive manufacturing is a major industry in Europe and the university partners are well connected with these companies. In addition, autonomous systems and intelligent robots are relevant in service applications and in manufacturing, logistics, shipping, mining, and recycling industries. In addition, autonomous software systems are becoming widespread in application areas, such as media, finance, customer service, and healthcare.

Research focus

The studies in the programme are closely related to the research conducted at the relevant departments of the consortium universities including Aalto University's Department of Electrical Engineering and Automation and Department of Computer Science.

Co-operation with other parties

Please visit the EIT Digital Master School website to learn more about the industry partners and collaboration.

How to apply?

Please see further information on applying at EIT Digital Master School website.

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EIT Digital is supported by the EIT, a body of the European Union.

Contact information

EIT Digital Master School

[email protected]

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