Curriculum for Sustainable Energy Systems
Programme provision
In order to obtain the MSc degree in Sustainable Energy 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 programme,
- Have passed a sufficient number of elective courses to bring the total number of ECTS of the entire study to 120 ECTS.
Curriculum
Polytechnic 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) |
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| 12105 | Quantitative Sustainability (Polytechnical Foundation) | 5 | point | E7 (Tues 18-22) |
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| 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 |
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| 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 |
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| 42505 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | August |
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| 42503 | Facilitating Innovation in Multidisciplinary Teams | 5 | point | June |
The following course can be taken as an alternative to the mandatory course 12100/12106/12105/12101:
| 41636 | Design for Circular Economy | 5 | point | January |
Programme-specific courses (50 ECTS)
Innovation course II: Please choose one of the following courses (5 ECTS):
| 38102 | Technology Entrepreneurship | 5 | point | Autumn E1B (Thurs 13-17) |
| 41636 | Design for Circular Economy | 5 | point | January |
| 42014 | Environmental and Resource Economics | 5 | point | F7 (Tues 18-22) |
| 42016 | Business Economics and Finance | 5 | point | Spring F3B (Fri 13-17) |
| 46755 | Renewables in electricity markets | 5 | point | Spring F2A (Mon 13-17) |
The following three courses are mandatory for the programme (15 ECTS):
| 46205 | Feasibility studies of energy projects | 5 | point | Autumn E3A (Tues 8-12) |
| 46740 | Distributed energy technologies, modelling and control | 5 | point | Spring F1B (Thurs 13-17) |
| 46770 | Integrated energy grids | 5 | point | Spring F5A (Wed 8-12) |
Please choose at least 5 ECTS among the following courses related to different technologies:
| 34552 | Photovoltaic systems | 5 | point | Spring F2B (Thurs 8-12) |
| 41418 | Green fuels and power-to-x | 5 | point | Spring F3A (Tues 8-12) |
| 41468 | Sustainable District Heating | 5 | point | Spring F1A (Mon 8-12) |
| 46200 | Planning and Development of Wind Farms | 5 | point | January |
| 47301 | Hydrogen energy and fuel cells | 5 | point | Spring F1B (Thurs 13-17) |
| 47330 | Energy storage and conversion | 5 | point | Autumn E1A (Mon 8-12) |
| 47334 | Carbon capture, utilization, and storage | 5 | point | Spring F3A (Tues 8-12) |
Please choose at least 10 ECTS among the following courses related to machine learning, operations research, and energy economics:
| 02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
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| 02450 | Introduction to Machine Learning and Data Mining | 5 | point | Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17) |
| 02418 | Statistical modelling: Theory and practice | 5 | point | Autumn E4A (Tues 13-17) |
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| 02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
| 42015 | Energy Economics | 5 | point | Autumn E3B (Fri 13-17) |
| 42112 | Mathematical Programming Modelling | 5 | point | January |
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| 42114 | Integer Programming | 5 | point | Autumn E4A (Tues 13-17) |
Please choose at least 15 ECTS among the following courses:
| 02417 | Time Series Analysis | 5 | point | Spring F4B (Fri 8-12) |
| 02431 | Risk Management | 5 | point | January |
| 02435 | Decision-Making Under Uncertainty | 5 | point | Spring F4A (Tues 13-17) |
| 02465 | Introduction to reinforcement learning and control | 5 | point | Spring F4B (Fri 8-12) |
| 02619 | Model Predictive Control | 5 | point | Autumn E2B (Thurs 8-12) |
| 12362 | Daylighting and Lighting | 5 | point | Autumn E3B (Fri 13-17) |
| 12611 | Heat and mass transfer in buildings | 5 | point | Autumn E1B (Thurs 13-17) |
| 41462 | Building Performance Simulation | 5 | point | Autumn E5A (Wed 8-12) |
| 41464 | Solar Heating Systems | 10 | point | Spring F3 (Tues 8-12, Fri 13-17) |
| 41465 | Computational Fluid Dynamics for Buildings | 5 | point | Autumn E5B (Wed 13-17) |
| 41466 | Sustainable heating and cooling of buildings | 5 | point | Spring F4A (Tues 13-17) |
| 41467 | Development of solar energy systems | 5 | point | Autumn E4A (Tues 13-17) |
| 41468 | Sustainable District Heating | 5 | point | Spring F1A (Mon 8-12) |
| 42001 | Large scale energy system analysis applying Balmorel | 5 | point | June |
| 42014 | Environmental and Resource Economics | 5 | point | F7 (Tues 18-22) |
| 42016 | Business Economics and Finance | 5 | point | Spring F3B (Fri 13-17) |
| 42879 | Decision Support and Strategic Assessment | 5 | point | Autumn E2B (Thurs 8-12) |
| 46120 | Scientific Programming for Wind Energy | 5 | point | Spring F2B (Thurs 8-12) |
| 46705 | Power grid analysis | 5 | point | Spring F3A (Tues 8-12) |
| 46745 | Integration of wind power in the power system | 5 | point | Autumn E3B (Fri 13-17) |
| 46750 | Optimization in modern power systems | 5 | point | Autumn E5A (Wed 8-12) |
| 46755 | Renewables in electricity markets | 5 | point | Spring F2A (Mon 13-17) |
| 46765 | Machine learning for energy systems | 5 | point | Autumn E5B (Wed 13-17) |
Elective courses (30 ECTS):
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.