Decision-Making for Autonomous Systems

Chalmers University of Technology in Gothenburg, Sweden, founded in 1829, combines long-standing academic tradition with a modern, innovation-driven culture. Home to about 7,000 students, including roughly 1,200 international students, Chalmers is recognized for rigorous education and research in engineering, technology and the natural sciences. The university places a strong emphasis on sustainability, entrepreneurship and industry collaboration, making it attractive for students who want applied technical training and real-world impact.

With 54 programmes across bachelor, master and doctoral levels, Chalmers offers hands-on learning supported by cutting-edge laboratories, innovation hubs and cross-disciplinary centres. Close ties with industry enable internships, collaborative projects and placement opportunities in sectors such as automotive, energy, telecommunications and architecture. Research activities are tightly linked to practical challenges, and students often participate in projects that lead to startups or industry partnerships.

Campus life in Gothenburg provides a compact, student-focused environment with easy access to Sweden's vibrant second city and a growing tech ecosystem. International students benefit from English-taught programmes, orientation services and active student associations that support integration and professional networking. Career services help translate academic credentials into internships and employment across Europe, so Chalmers is a strong choice for students seeking technical depth, applied research experience and direct links to industry.

Decision-Making for Autonomous Systems is a non-degree program at Chalmers University of Technology. It is one week long and taught in English. This program is for students who want to learn about autonomous systems.

The curriculum focuses on decision-making for autonomous systems. Students develop skills in data analysis, machine learning, and programming. They work on projects that involve designing and testing autonomous systems.

After completing this program, students can pursue careers as Autonomous Vehicle Engineers, Robotics Engineers, or Artificial Intelligence Developers. They can work in the tech industry, research institutions, or companies like Google or Tesla.