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

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.
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Degree:

Master of Science (Technology)

Application period:

15.11.2020 – 1.2.2021

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 15.11.2020 12:00 (UTC+2)

Study objectives

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.

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.

Language of instruction

The language of instruction of the programme is English.

Tuition fees

See the programme website for information on tuition fees and scholarships.

Study contents

The programme is a double degree programme, which means that you will study at two European universities and in two different countries. The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes. An integral part of the second year is a Master’s thesis (30 ECTS).

The double-degree programme is implemented jointly by leading European universities. The students can select their favorite first (entry) and second (exit) year universities. Each university has a unique specialisation area, which allows students to select their own second year area of expertise.

Structure of the studies

Please note that both ENTRY and EXIT universities might be subject to changes. Kindly check before applying.

During the first year, a similar set of courses are offered at the four involved entry points Aalto University, Technical University of Berlin (TUB), Germany, University of Trento, Italy, and Royal Institute of Technology (KTH), Sweden. This includes 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 in one of the six exit point universities: Aalto University, Royal Institute of Technology (KTH), Sweden, Technical University of Berlin (TUB), Germany,University of Trento, Italy, Eurecom, France, or Eötvös Loránd University (ELTE), Hungary. 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.

See the Autonomous Systems curriculum at Aalto University on the student portal Into.

Admission to the EIT Digital Master School majors

The ICT Innovation programme has separate application periods and admission procedures from the rest of the Master's programmes offered by Aalto University. Further information on the admission is available on the EIT Digital Master School website for prospective students (masterschool.eitdigital.eu).

Contact information

EIT Digital Master School

E-mail: [email protected]

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Finland’s excellent reputation in education, combined with a wide range of courses offered in English, makes Finland an attractive study destination for international students. Boasting the largest technology hub of the Nordic countries, Finland is a world leader in information technology, business, design and many other academically centred fields.

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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.

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

The application period will open 15.11.2020 12:00 (UTC+2)

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