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Autonomous Systems - ICT Innovation (EIT Digital Master School), Master of Science (Technology)
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The Autonomous Systems (AUS) 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, intelligent robots, industrial IoT and autonomous software systems.
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.
Tuition fees and scholarships
Students admitted to Master's Programme in ICT Innovation (EIT Digital Master School) - Autonomous Systems 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 at 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 and in two different countries. Aalto University offers AUS studies as both entry (first-year) and exit (second-year) studies. For For an up-to-date list of universities, please visit the EIT Digital Master School website.
The first year will be similar at all AUS entry point universities with foundation courses in
- 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 spesialisation option offered by one of the exit point universities. The specialisation option offered at Aalto University is Robotics and Artificial Intelligence.
The courses of the Robotics and Artificial Intelligence specialisation combine both electrical engineering and computer science. Elective courses include autonomous mobile robots, micro- and nano robotics, computer vision, robotic vision, and machine learning. The students will learn how to build autonomous, intelligent robots and robotic systems.
More information on the programme content and curriculum can be found 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).
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 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.
In the Master’s thesis project, the students will work with the industry partners or the active startup community around the Helsinki node of EIT Digital.
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.
Get to know us
Finland’s excellent reputation in education, combined with a wide range of courses offered in English, makes Finland and Aalto University an attractive study destination for international students.
The EIT Label is a quality seal awarded by the European Institute of Innovation and Technology (EIT) to a KIC educational programme that has been assessed positively by the EIT on the implementation of the EIT Quality Assurance and Learning Enhancement (EIT QALE) system, and the application of specific quality criteria with focus on the EIT Overarching Learning Outcomes (EIT OLOs), robust entrepreneurship education, highly integrated, innovative ‘learning-by-doing’ curricula, international mobility and outreach.