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Autonomous Systems and Intelligent Robots - ICT Innovation (EIT Digital Master School)

Master of Science (Technology)

Program Description

The Autonomous Systems and Intelligent Robots program is a multidisciplinary combination of computer science and electrical engineering. Throughout the program, students acquire a broad set of skills related to both fields. In computer science, students learn about topics such as the Internet of Things (IoT), machine learning, artificial intelligence, and computer vision. In electrical engineering, the focus is on areas like automation, robotics, control engineering, embedded systems, and telecommunications.

Students learn the latest theories and apply their knowledge to real-world problems. Typical application areas for autonomous systems include self-driving cars, intelligent robots in production and healthcare, industrial IoT, and autonomous home and agricultural devices. Autonomous systems also play a crucial role in scientific research, enabling self-directed research, data collection, and experimentation.

Language of Instruction

The program's language of instruction is English.

Tuition Fees and Scholarships

Students in the Master's Programme in ICT Innovation (EIT Digital Master School) with a major in Autonomous Systems and Intelligent Robots may receive a scholarship. They are required to pay tuition fees according to the EIT Digital tuition fee and scholarship system.

Program Structure

The EIT Digital Master School programs are double-degree programs, where students study at two different universities in two different countries. The two-year program leads to two Master of Science degrees from two universities.

The program consists of 120 ECTS credits:

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

Specialization Options

The program is a double-degree program, and students study at two different universities in two different countries. Aalto University offers AUSIR studies for both the first and second year of the program. The current list of universities can be found on the EIT Digital Master School website.

The first year of AUSIR studies is the same in all universities, with basic courses in:

• Robotics
• Artificial intelligence (or machine learning)
• Modeling, estimation, and control

Additionally, students can take some elective courses to prepare for their specialization. An essential part of the program is also the Innovation and Entrepreneurship (I&E) courses.

In the second year, students choose one of the specialization options available at the universities offering the second year of studies. Aalto University's specialization option is Intelligent Robots and Systems.

Aalto University's specialization option provides a wide range of courses in robotics and intelligent systems, covering theoretical foundations, key methods, and essential practical skills. Elective courses may include topics such as:

• Autonomous mobile robots
• Micro and nano robotics
• Neuro-robotics
• Computer vision
• Robot manipulation methods
• Model-based control
• Sensor fusion and machine learning methods

These courses give students comprehensive knowledge and skills in intelligent robotics and systems, including hardware and software, algorithms, and real-world applications.

Internationalization

EIT Digital Master School programs are inherently international, as studies take place in two different universities in two different countries. The program provides students with deep experience in working and studying in multiple countries in an international environment.

Career Opportunities

The career prospects for autonomous systems and intelligent robotics are currently very promising, with a wide range of opportunities in various industries. The automotive industry remains a significant sector in Europe, and university partners have good connections with companies in this field. Additionally, autonomous systems and intelligent robots are increasingly used in services, manufacturing, logistics, shipping, mining, and recycling industries. Autonomous technologies are also developing in the construction sector, scientific research, environmental monitoring, and smart infrastructure. Furthermore, autonomous software systems are becoming more prevalent in various application areas, such as media, finance, customer service, and healthcare, opening up new career paths for graduates.

Research Focus

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

Collaboration with Other Actors

For more information on industry partners and collaboration, please visit the EIT Digital Master School website.

How to Apply

See more information on the application process on the EIT Digital Master School website.

Get to Know Us

Studying at Aalto

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Contact Information

EIT Digital Master School