Courses for Mechatronics
The two-year master's programme in Mechatronics consists of three semesters of courses and one final semester dedicated to the master's degree project. Each semester consists of approximately 30 ECTS credits. The courses presented on this page apply to studies starting in autumn 2024.
Year 1
Conditionally elective courses: A minimum of 12cr must be taken.
Mandatory courses
- Dynamics and Motion Control (MF2007) 9.0 credits
- Mechatronics basic Course (MF2030) 6.0 credits
- Robust Mechatronics (MF2043) 6.0 credits
- Research Methodology in Mechatronics (MF2071) 4.5 credits
- Programming in C for Embedded Systems (MF2095) 3.0 credits
- Embedded Systems for Mechatronics (MF2103) 9.0 credits
- Mechatronic Capstone course (MF2121) 18.0 credits
- Smart Cyber-Physical Systems (CPS) - understanding and acting in a sociotechnical shift (MF2140) 6.0 credits
Conditionally elective courses
- Artificial Intelligence (DD2380) 6.0 credits
- Introduction to Robotics (DD2410) 7.5 credits
- Project Course in Robotics and Autonomous Systems (DD2419) 9.0 credits
- Machine Learning (DD2421) 7.5 credits
- Image Analysis and Computer Vision (DD2423) 7.5 credits
- Deep Learning in Data Science (DD2424) 7.5 credits
- Machine Learning, Advanced Course (DD2434) 7.5 credits
- Artificial Neural Networks and Deep Architectures (DD2437) 7.5 credits
- Artificial Intelligence and Multi Agent Systems (DD2438) 15.0 credits
- Parallel and Distributed Computing (DD2443) 7.5 credits
- Software Engineering Fundamentals (DD2480) 7.5 credits
- Automated Software Testing and DevOps (DD2482) 7.5 credits
- Haptics, Tactile and Tangible Interaction (DH2670) 7.5 credits
- Control Theory and Practice, Advanced Course (EL2520) 7.5 credits
- Nonlinear Control (EL2620) 7.5 credits
- Model Predictive Control (EL2700) 7.5 credits
- Reinforcement Learning (EL2805) 7.5 credits
- Modelling of Dynamical Systems (EL2820) 7.5 credits
- Image and Video Processing (EQ2330) 7.5 credits
- Embedded Many-Core Architectures (IL2236) 7.5 credits
- Energy Business (ME2087) 6.0 credits
- Negotiations for Start-ups (ME2827) 7.5 credits
- Component Design (MF2010) 6.0 credits
- Systems Engineering (MF2011) 9.0 credits
- Tribology (MF2018) 6.0 credits
- CAD 3D-modelling and Visualization (MF2019) 6.0 credits
- Product Innovation (MF2046) 6.0 credits
- Machine Dynamics (MF2068) 6.0 credits
- Managing Research and Development (MF2084) 6.0 credits
- Innovation- and Product Development Processes (MF2085) 6.0 credits
- Applied Vehicle Dynamics Control (SD2231) 7.5 credits
- Material Mechanics (SE2126) 9.0 credits
- FEM Modelling (SE2860) 8.0 credits
Year 2
Course list: Information is based upon the curriculum for academic year 2024/2025.
Changes may occur.
Conditionally elective courses: A minimum of 12cr must be taken.
Mandatory courses
Conditionally elective courses
- Artificial Intelligence (DD2380) 6.0 credits
- Introduction to Robotics (DD2410) 7.5 credits
- Image Analysis and Computer Vision (DD2423) 7.5 credits
- Machine Learning, Advanced Course (DD2434) 7.5 credits
- Artificial Neural Networks and Deep Architectures (DD2437) 7.5 credits
- Parallel and Distributed Computing (DD2443) 7.5 credits
- Nonlinear Control (EL2620) 7.5 credits
- Model Predictive Control (EL2700) 7.5 credits
- Reinforcement Learning (EL2805) 7.5 credits
- Modelling of Dynamical Systems (EL2820) 7.5 credits
- Image and Video Processing (EQ2330) 7.5 credits
- Component Design (MF2010) 6.0 credits
- Tribology (MF2018) 6.0 credits
- Product Innovation (MF2046) 6.0 credits
- Machine Dynamics (MF2068) 6.0 credits
- Managing Research and Development (MF2084) 6.0 credits
- Material Mechanics (SE2126) 9.0 credits