Why choose Robot Systems?
Robotics is for you if you want to help develop the intelligent systems of the future. Today, robots and drones are found not only in factories, but also in healthcare, construction, green energy, agriculture, space, industry and many of the technologies we use in everyday life.
Artificial intelligence is also playing an increasingly important role in robotics. This includes AI systems that can recognise their surroundings, understand data and make decisions – for example through computer vision and other intelligent technologies.
On the programme, you learn to use mathematics and programming to make robots and other intelligent systems move and respond to their surroundings. You work with electrical circuits, sensors, motors and mechanical systems. You also learn how hardware, software and AI models interact in modern technology. At the same time, you gain insight into how complex systems can be made to work stably and precisely in practice.
You also get the opportunity to test theories in practice, collaborate across disciplines and build robots yourself. This gives you skills that can be used to develop solutions that make a difference to people and help move the world in a greener, safer and healthier direction.
Robot Systems is for you if you鈥�
- want to be part of the cutting edge of technological development
- are interested in robots, drones, artificial intelligence and intelligent systems
- want to combine mathematics, programming and electronics
- want to work hands-on with technology and build solutions that can be used in the real world
What will you learn?
On the Robot Systems programme, you work with developing intelligent systems ranging from autonomous drones to robots used in healthcare, industry and many other areas.
You gain a broad technical toolbox in mathematics, programming and electronics, and learn how these fields are used together to understand, design and build modern technological systems.
This gives you insight into both the digital and physical aspects of robotics – and how the two are connected. Many of these systems also involve artificial intelligence, such as computer vision and other methods that enable robots and drones to perceive and respond to their surroundings.
Teaching methods
Teaching combines theory with practical project work. You work with mathematics, programming and electronics and get the opportunity to apply your knowledge in practice, including by building robots yourself and collaborating across disciplines.
Student/teacher testimonial
“On the programme, you learn many different things. You learn to develop software and code, you learn about electrical circuits and mathematics, and you get the opportunity to apply it in practice through project work.”
- Laura Bruun Holm, student
Frequently asked questions
