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 Sustainability (Polytechnical Foundation) | 5 | point | F7 (Tues 18-22) |
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| 12106 | Quantitative Sustainability (Polytechnical Foundation) | 5 | point | Autumn E3B (Fri 13-17) |
| or | ||||
| 12105 | Quantitative Sustainability (Polytechnical Foundation) | 5 | point | E7 (Tues 18-22) |
| or | ||||
| 12101 | Quantitative Sustainability (Polytechnical Foundation) | 5 | point | Spring F3B (Fri 13-17) |
| 42500 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | January |
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| 42504 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | August |
| or | ||||
| 42501 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | June |
Students with advanced innovation competences may take one of the following courses as an alternative to 42500/42501/42504:
| 42502 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | January |
| or | ||||
| 42505 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | August |
| or | ||||
| 42503 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | June |
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 - mandatory (10 ECTS) Choose 10 ECTS+ from the following:
+Students can also chose the rest as but they have to selected as program specific (see below) or electives
| 34757 | Unmanned autonomous systems | 5 | point | June |
| 34759 | Perception for Autonomous Systems | 10 | point | Autumn E1 (Mon 8-12, Thurs 13-17) |
| 34761 | Robot Autonomy | 5 | point | Spring F4A (Tues 13-17) |
Choose 35 ECTS+ among the rest of the programme-specific courses:
+ Of course stuents can choose more 35 ECTS of these but the rest will have to be chosen as electives
| 02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
| 02225 | Distributed Real-Time Systems | 5 | point | Spring F4B (Fri 8-12) |
| 02285 | Artificial Intelligence and Multi-Agent Systems | 7.5 | point | Spring F4A (Tues 13-17) |
| 02291 | System Integration | 5 | point | Spring F5A (Wed 8-12) |
| 02450 | Introduction to Machine Learning and Data Mining | 5 | point | Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17) |
| 02456 | Deep learning | 5 | point | Autumn E2A (Mon 13-17) |
| 02471 | Machine learning for signal processing | 5 | point | Autumn E1B (Thurs 13-17) |
| 02476 | Machine Learning Operations | 5 | point | January |
| 02501 | Advanced Deep Learning in Computer Vision | 5 | point | Spring F4A (Tues 13-17) |
| 02509 | Computational 3D Imaging and Analysis | 10 | point | Spring F5 (Wed 8-17) |
| 02510 | Deep Learning for Experimental 3D Image Analysis | 5 | point | Spring F2B (Thurs 8-12) |
| 02516 | Introduction to Deep Learning in Computer Vision | 5 | point | Autumn E5B (Wed 13-17) |
| 02610 | Optimization and Data Fitting | 5 | point | Autumn E2A (Mon 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 |
| 34721 | Linear control design 1 | 5 | point | Autumn E5B (Wed 13-17) and Spring F5B (Wed 13-17) |
| 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) |
| 34761 | Robot Autonomy | 5 | point | Spring F4A (Tues 13-17) |
| 34763 | Autonomous Marine Robotics | 5 | point | Spring F5B (Wed 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