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Master's Programme in ICT Innovation (EIT Digital Master School) - Autonomous Systems

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 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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Degree:

Master of Science (Technology)

Application period:

16.11.2021 – 3.2.2022

Language of instruction:

English

Duration:

2 years, full-time

Eligibility:

Relevant Bachelor's degree

Field of study:

Technology and Engineering

Credits:

120 ECTS

Organising school:

School of Electrical Engineering

The application period will open 16.11.2021 08:00 (UTC+2)

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.

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)

Specialisations

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.

Autonomous Systems Mobility Map

The first year will be 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 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.

>> Learn more about the AUS curriculum at Aalto.

Internationalisation

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 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.

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.

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.

Admission to the EIT Digital Master School majors

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.

Contact information

EIT Digital Master School
E-mail: [email protected]

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The application period will open 16.11.2021 08:00 (UTC+2)

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