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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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
Eligibility: Relevant Bachelor's degree
11 Apr 2025
2 Years
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Autonomous Systems and Intelligent Robots - ICT Innovation (EIT Digital Master School)
Otakaari primary campus, Espoo, Finland
# =122QS Subject Rankings
24 monthsProgramme duration
11 Apr, 2025Application Deadline
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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