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 5 ECTS
  • Have passed Programme specific courses adding up to at least 55 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

Polytechnic foundation courses (5 ECTS):

The following course is mandatory: 

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

 

Study line "Systems"

  • Digital Energy Systems
  • Energy System Analysis
  • Energy-efficient Building Systems

If you choose not to follow a study line - please contact your head of studies who will assist you in making a study plan.

Programme specific courses  (55 ECTS)

Innovation course II - mandatory (5 ECTS):

41636 Design for Circular Economy 5 point January

Core competence courses - mandatory for the study line (10 ECTS)

46740 Distributed energy technologies, modelling and control 5 point Spring F1B (Thurs 13-17)
46770 Integrated energy grids 5 point Spring course, details to follow in Fall

Core competence courses - choose 10 ECTS among the following courses:

34552 Photovoltaic systems 5 point Spring F2B (Thurs 8-12)
41468 Sustainable District Heating 5 point Spring F1A (Mon 8-12)
46300 Wind Turbine Technology and Aerodynamics 10 point Autumn E1 (Mon 8-12, Thurs 13-17)
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)

Core competence courses - choose 10 ECTS among the following courses:

02180 Introduction to Artificial Intelligence 5 point Spring F3A (Tues 8-12)
or
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)
or
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
or
42101 Introduction to Operations Research 5 point Autumn E2A (Mon 13-17), Spring F2A (Mon 13-17)

Core competence courses - choose 20 ECTS among the following courses:

02417 Time Series Analysis 5 point Spring F4B (Fri 8-12)
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)
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)
38105 Digital Trends for Entrepreneurs 5 point Autumn E3A (Tues 8-12)
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)
46205 Feasibility studies of energy projects 5 point Autumn E3A (Tues 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 E3A (Tues 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: 

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