Curriculum for Autonomous Systems
Programme provision
To obtain the MSc degree in Autonomous Systems, the student must fulfil the following requirements:
- Have passed Polytechnical foundation courses adding up to at least 10 ECTS
- Have passed Programme-specific courses adding up to at least 50 ECTS
- Have performed a Master Thesis of 30 ECTS points within the field of the general program
- Have passed a sufficient number of Elective courses to bring the total number of ECTS of the entire study to 120 ECTS
Curriculum
Polytechnical foundation courses (10 ECTS)
The following courses are mandatory:
| 12100 | Quantitative methods to assess sustainability (Polytechnical Foundation) | 5 | point | F7 (Tues 18-22) |
| or | ||||
| 12106 | Quantitative methods to assess sustainability (Polytechnical Foundation) | 5 | point | Autumn E3B (Fri 13-17) |
| or | ||||
| 12105 | Quantitative methods to assess sustainability (Polytechnical Foundation) | 5 | point | E7 (Tues 18-22) |
| or | ||||
| 12101 | Quantitative methods to assess sustainability (Polytechnical Foundation) | 5 | point | Spring F3B (Fri 13-17) |
| 38402 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | June |
| or | ||||
| 38404 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | August |
| or | ||||
| 38400 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | January |
Students with advanced innovation competences may take one of the following courses as an alternative to 42500/42501/42504:
| 38403 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | June |
| or | ||||
| 38405 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | August |
| or | ||||
| 38401 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | January |
Programme specific courses (50 ECTS)
Innovation course II - choose 5 ECTS among the following courses:
| 34755 | Building dependable robot systems | 5 | point | Spring F3B (Fri 13-17) |
| 38102 | Technology Entrepreneurship | 5 | point | Autumn E1B (Thurs 13-17) |
| 38106 | Developing an Entrepreneurial mindset | 5 | point | Spring F1B (Thurs 13-17), Autumn E1B (Thurs 13-17) |
| 38113 | Applied AI for Entrepreneurs | 5 | point | Autumn E2B (Thurs 8-12) |
Core competence courses I - mandatory (10 ECTS*)
*All students must take the course as mandatory program specific course.
| 34759 | Perception for Autonomous Systems | 10 | point | Autumn E1 (Mon 8-12, Thurs 13-17) |
Core competence courses II - mandatory (5 ECTS) Choose one course from the following:
| 34757 | Unmanned autonomous systems | 5 | point | June |
| 34761 | Robot Autonomy | 5 | point | Spring F4A (Tues 13-17) |
| 34763 | Autonomous Marine Robotics | 5 | point | Spring F5B (Wed 13-17) |
| 34766 | Robotic Manipulation: Perception, Planning, Control and Learning | 5 | point | Spring F2A (Mon 13-17) |
Choose 30 ECTS+ among the rest of the programme-specific courses:
| 02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
| 02225 | Distributed Real-Time Systems | 5 | point | Spring F4B (Fri 8-12) |
| 02280 | Artificial Intelligence and Multi-Agent Systems | 10 | point | Spring F4A (Tues 13-17) |
| 02291 | System Integration | 5 | point | Spring F5A (Wed 8-12) |
| 02452 | Machine Learning | 5 | point | Autumn E4A (Tues 13-17) |
| 02456 | Deep learning | 5 | point | Autumn E2A (Mon 13-17) |
| 02460 | Advanced Machine Learning | 5 | point | Spring F1B (Thurs 13-17) |
| 02471 | Machine learning for signal processing | 5 | point | Autumn E1B (Thurs 13-17) |
| 02476 | Machine Learning Operations | 5 | point | January |
| 02477 | Bayesian machine learning | 5 | point | Spring F2A (Mon 13-17) |
| 02501 | Advanced Deep Learning in Computer Vision | 5 | point | Spring F4A (Tues 13-17) |
| 02510 | Deep learning and data engineering for image analysis | 5 | point | Spring F5A (Wed 8-12) |
| 02516 | Introduction to Deep Learning in Computer Vision | 5 | point | Autumn E5B (Wed 13-17) |
| 02518 | Computational 3D Imaging and Analysis | 5 | point | Spring F5B (Wed 13-17) |
| 02611 | Optimization for Data Science | 5 | point | Spring F5B (Wed 13-17) |
| 02612 | Constrained Optimization | 5 | point | Spring F4A (Tues 13-17) |
| 02613 | Python and High-Performance Computing | 5 | point | Spring F5A (Wed 8-12) |
| 02614 | High-Performance Computing | 5 | point | January |
| 02619 | Model Predictive Control | 5 | point | Autumn E2B (Thurs 8-12) |
| 30554 | Global Navigation Satellite Systems | 5 | point | Spring F2B (Thurs 8-12) |
| 34241 | Digital video technology | 5 | point | Spring F4A (Tues 13-17) |
| 34366 | Intelligent systems | 5 | point | E7 (Tues 18-22) |
| 34367 | Project in Intelligent Systems | 5 | point | January |
| 34745 | Linear control design 2 | 10 | point | Autumn E3 (Tues 8-12, Fri 13-17) |
| 34746 | Robust and fault-tolerant control | 10 | point | Spring F1 (Mon 8-12, Thurs 13-17) |
| 34752 | Bio-inspired control for robots | 5 | point | August |
| 34753 | Robotics | 5 | point | Autumn E4A (Tues 13-17) |
| 34755 | Building dependable robot systems | 5 | point | Spring F3B (Fri 13-17) |
| 34757 | Unmanned autonomous systems | 5 | point | June |
| 34759 | Perception for Autonomous Systems | 10 | point | Autumn E1 (Mon 8-12, Thurs 13-17) |
| 34760 | Safety and Reliability in Robotic and Automation Systems | 5 | point | Spring F5B (Wed 13-17) |
| 34763 | Autonomous Marine Robotics | 5 | point | Spring F5B (Wed 13-17) |
| 34764 | Robotics and Automation in Pharmaceutical Manufacturing | 5 | point | January |
| 34766 | Robotic Manipulation: Perception, Planning, Control and Learning | 5 | point | Spring F2A (Mon 13-17) |
| 42136 | Advanced Operations Research Methods | 5 | point | Spring F2B (Thurs 8-12) |
| 42137 | Optimization using metaheuristics | 5 | point | Spring F2A (Mon 13-17) |
Elective Courses
Any course classified as MSc course in DTU's course base may be an elective course. This includes programme specific courses in excess of the minimal requirements. Master students may choose as much as 10 credit points among the bachelor courses at DTU and courses at an equivalent level from other higher institutions. In addition, it is possible to take MSc-level courses at other Danish universities or abroad.
Head of Studies
Evangelos Boukas Associate Professor Department of Electrical and Photonics Engineering evanb@dtu.dk