Master's in Sustainable and Autonomous Systems

Autonomous systems are shaping how societies produce energy, transport goods, manage infrastructure, and use resources. To build these systems responsibly, engineers must combine technical intelligence with sustainability, ethics, and real-world constraints.

The master’s programme in Sustainable and Autonomous Systems educates engineers who can design, develop, and analyze smart, data-driven and autonomous systems with sustainability embedded at their core.

Graduates are prepared to work at the intersection of ICT, embedded systems, artificial intelligence, and sustainable development, where technical decisions shape environmental, economic, and social impact.

The master's programme combines computer science, real-time embedded systems, wireless communications, computer vision and other environmental sensing, and location awareness. Moreover, aspects of sustainable development related to autonomous systems, energy harvesting, smart cities and communities, as well as cybersecurity of systems form an integral part of the programme content.

Sustainable and Autonomous Systems master’s programme is a collaboration between:

• University of Oulu – expertise in smart, wireless, embedded, and autonomous systems
• University of Vaasa – expertise in sustainable energy systems and energy-related applications.

You apply to one university only and complete cross-university courses remotely, without mandatory travel. This is not a joint degree, but a coordinated academic collaboration.

The programme focuses on how autonomous systems are built, connected, and made sustainable. Core themes include:

• Autonomous and intelligent systems
• Artificial intelligence and machine learning
• Embedded and real-time systems
• Computer and machine vision
• Wireless communication and IoT
• Data acquisition, data use, and system optimization
• Sustainable energy systems and energy-efficient design
• Cybersecurity and reliability of systems
• Sustainability and responsibility as a design framework.

Sustainability is not taught as a separate topic only, but as a context for engineering decisions: how systems consume energy, how data is used responsibly, and how intelligent technologies can enable more sustainable societies.

Studies include project-based learning, problem-solving, and a mandatory practical training period, designed to help you apply theory in real systems development contexts.

For detailed information about courses and the programme structure, look at the study guide:

• Read the study guide for Sustainable and Autonomous Systems programme

The learning environment emphasizes active student engagement, analytical thinking, and collaboration. Students receive academic guidance, while being expected to take an active role in planning and managing their studies, which is a skill essential for modern engineering careers.

Upon graduation, you will be able to:

• Design and analyze autonomous and smart systems using advanced ICT technologies
• Apply AI and data-driven methods responsibly, recognizing ethical and societal implications
• Integrate sustainability considerations into system design and optimization
• Work with multidisciplinary teams and research-driven development processes
• Solve complex engineering problems in uncertain and evolving contexts.

In addition, the graduate will have good skills in analytical and critical thinking, problem-solving and decision-making, lifelong learning, oral and written communication, team-working in international teams, project management, business thinking, and the use of IT.

This programme is well suited for students who:

• Have a bachelor’s degree in ICT, electronics, computer science, or a related engineering field
• Are motivated to learn how intelligent systems interact with society and the environment
• Are willing to take an active role in learning, while working within a supportive academic structure
• Are interested in applying technology to real-world challenges rather than purely theoretical work.

Prior experience in autonomous systems or AI is not mandatory, but foundational technical competence is required.

Read about eligibility and admissions procedure for this programme, detailed information available at Studyinfo.

Career paths span industries including energy, transportation, logistics, smart infrastructure, and security-aware systems. Employment outcomes depend on market conditions, individual competence development, and location.

Graduates can work in roles such as:

• Autonomous Systems or Robotics Engineer
• Embedded Systems Developer
• Energy or sustainability-focused technology specialist
• Project Manager
• Product Developer
• R&D Engineer
• Systems Engineer
• Researcher or doctoral candidate.