Robotics and Applied Machine Learning

The University of Coimbra, founded in 1290 and located in the historic city of Coimbra, is one of Europe’s oldest universities and a UNESCO cultural landmark. With about 25,580 students, including roughly 4,351 international students, the university blends centuries of academic tradition with a vibrant, international campus life. Its historic colleges, libraries and concert halls coexist with modern research centers across disciplines from law and humanities to engineering and biomedical sciences.

Coimbra offers a broad academic portfolio with strong research output, international exchange programs and multidisciplinary centers that foster innovation. The university is especially well known for its law, arts, social sciences and health faculties, and it participates actively in Erasmus and global partnerships that facilitate study abroad and collaborative research. Students benefit from structured academic advising, language support and numerous cultural activities tied to the city’s student traditions.

Student life is shaped by rich traditions, lively academic societies and a compact city layout that makes it easy to combine study and cultural exploration. International students enjoy access to modern facilities, research opportunities and a welcoming community with a strong focus on academic excellence and cultural exchange. For those seeking a historically rich European university experience with robust research networks and an active international student community, the University of Coimbra offers a compelling academic and cultural environment.

The Robotics and Applied Machine Learning program at the University of Coimbra is a 1-year non-degree program for students at various academic levels, focusing on the fundamentals of Mobile Robotics, Automated Systems, and Machine Learning.

The curriculum covers Hardware and Software for Mobile Robotics, and Applied Machine Learning, with a hands-on approach that equips students with skills to tackle real-world challenges in robotics and machine learning. Students explore principles of mobile robotics and automation, alongside practical applications of artificial perception and computational intelligence.

Graduates can pursue job titles like Robotics Engineer, Machine Learning Engineer, Data Scientist, Automation Specialist, and AI Researcher, with opportunities in industries like technology, manufacturing, and research institutions, and skills that are highly transferable to various roles in the tech landscape.