Master's in Sustainable and Autonomous Systems
University of Vaasa
Technology
International Excellence Scholarship
N/A
Contact the university
14000
Semester
6.5
N/A
2
Wolffintie 32, 65200 Vaasa, Finland, Finland
Sustainable and Autonomous Systems focuses on developing intelligent, automated, and environmentally responsible technologies. Students study autonomous systems, artificial intelligence, robotics, sustainability, control systems, and data-driven solutions. The program develops technical, analytical, and problem-solving skills for designing efficient systems that support sustainable development and automation.
Merit-based Scholarships
Finland
University: University of Vaasa
Early Bird Last Date: 2026-09-18
Scholarship Amount: €4,000
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"Combine creative design with media and communication expertise to craft innovative solutions for careers in digital, creative, and cultural industries."
"Gain media and communication expertise with extended industry experience, preparing for dynamic careers in media, digital, and creative industries."
"Explore media, digital storytelling, and communication strategies while building creative and critical skills for careers in media industries."
"Blend media, communication, and storytelling skills with business knowledge to prepare for creative, strategic, and leadership roles in industry."
"Combine data analytics expertise with business knowledge to drive evidence-based decisions, innovation, and strategy in diverse industries."
"Gain business expertise in management, marketing, and finance with extended industry experience to prepare for dynamic global career opportunities."
"Combine legal expertise with business knowledge to prepare for careers in corporate law, governance, management, and the commercial sector."
"Combine health science knowledge with business and management skills to prepare for leadership roles in health, policy, and industry settings."
"Gain skills in software, networks, and information systems while developing problem-solving expertise for careers in the evolving digital world."
"Develop expertise in data analytics, statistics, and machine learning to solve real-world problems and drive innovation across industries."
Faculty of Business, Management, Economics and Law
Semester Semester
4 years
6.0 with no less than 5.5
41240
N/A