Curriculum for Sustainable Energy Systems
Programme provision
- 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 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) |
42500 | Innovation in Engineering (Polytechnical Foundation) | 5 | point | January |
or | ||||
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 |
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: Select one of the following courses (5 ECTS):
38102 | Technology Entrepreneurship | 5 | point | Autumn E1B (Thurs 13-17) |
42014 | Environmental and Resource Economics | 5 | point | F7 (Tues 18-22) |
42015 | Energy Economics | 5 | point | Autumn E3B (Fri 13-17) |
42016 | Business Economics and Finance | 5 | point | Spring F3B (Fri 13-17) |
The following three courses are compulsory components of the programme (15 ECTS in total):
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) |
Choose at least 5 ECTS from the following technology-related courses:
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) |
Choose at least 10 ECTS from the following courses in machine learning, operations research, programming, and energy markets:
02452 | Machine Learning | 5 | point | Autumn E4A (Tues 13-17) |
or | ||||
02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
02476 | Machine Learning Operations | 5 | point | January |
or | ||||
02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
42112 | Mathematical Programming Modelling | 5 | point | January |
or | ||||
42114 | Integer Programming | 5 | point | Autumn E4A (Tues 13-17) |
46120 | Scientific Programming for Wind Energy | 5 | point | Spring F2B (Thurs 8-12) |
46755 | Renewables in electricity markets | 5 | point | Spring F2A (Mon 13-17) |
Choose at least 15 ECTS from 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) |
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) |
41468 | Sustainable District Heating | 5 | point | Spring F1A (Mon 8-12) |
41469 | Solar resource assessment and forecasting | 5 | point | Autumn E4A (Tues 13-17) |
42001 | Large scale energy system analysis | 5 | point | June |
42879 | Decision Support and Strategic Assessment | 5 | point | Autumn E2B (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) |
46765 | Machine learning for energy systems | 5 | point | Autumn E5B (Wed 13-17) |
Elective courses (30 ECTS):
Any course classified as MSc-level in DTU’s course catalogue may be taken as an elective. This also includes programme-specific courses beyond the minimum requirements listed above. Master’s students may count up to 10 ECTS from DTU bachelor-level courses or equivalent courses from other higher education institutions. Additionally, MSc-level courses from other Danish or international universities can be included as electives.
Master's thesis (30 ECTS):
The MSc thesis must be completed within the scope of the programme. The project may be completed in collaboration with a relevant company.