Pursuant to consolidation Act 778 of August 7, 2019 on Universities (the University Act), the following is established.
The programme also follows the Examination Policies and Procedures incl. the Joint Programme Regulations for Aalborg University.
The Master’s programme is organised in accordance with the Ministry of Higher Education and Science’s Order no. 2285 of December 1, 2021 on Full-time University Programmes (the University Programme Order) with subsequent change and Ministerial Order no. 2271 of December 1, 2021 on University Examinations (the Examination Order) with subsequent change. Further reference is made to Ministerial Order no. 69 of January 26, 2023 (the Admission Order) and Ministerial Order no. 1125 of July 4, 2022 (the Grading Scale Order).
The programme is offered in Esbjerg.
The Master’s programme falls under the The Faculty of Engineering and Science, Aalborg University.
The Master’s programme falls under the Study Board of Build, Energy, Electronics and Mechanics in Esbjerg.
The Master’s programme is associated with the external examiners corps on Civil engineering corps of external examiners.
The admission requirements depend on the programme applied for. Below you will find the requirements for both programmes.
MSc in Advanced Power Electronics
Applicants with a legal claim to admission (retskrav)
Applicants without a legal claim to admission
Students with the following bachelor’s degrees might be admitted if they have chosen electable courses with a minimum of 5 ECTS within electrical machines and 5 ECTS within power electronics:
Applicants without a qualifying bachelor’s degree
If your bachelor’s degree is not mentioned under the above admission bachelor’s degrees, you can still apply for admission.
The university's assessment of a bachelor's degree emphasizes sufficient qualifications in mathematics and physics. In addition, basic qualifications in control theory, electrical systems and programming languages are assessed.
When you apply for admission, an individual professional assessment of your qualifications will be carried out in relation to these specific requirements for subjects or subject areas, calculated in ECTS:
As a prerequisite for admission to the master’s programme, students must have completed a bachelor programme in technical sciences, a bachelor of engineering programme or a bachelor in natural science.
All applicants without a legal claim must prove that their English language qualifications is equivalent to level B (Danish level) in English.
MSc in Advanced Power Electronics with specialisation in AI and Autonomous Systems
Applicants with a legal claim to admission (retskrav)
Applicants without a legal claim to admission
Applicants without a qualifying bachelor’s degree
If your bachelor’s degree is not mentioned under the above admission bachelor’s degrees, you can still apply for admission.
The university's assessment of a bachelor's degree emphasizes sufficient qualifications in mathematics and physics. In addition, basic qualifications in control theory, electrical systems and programming languages are assessed.
When you apply for admission, an individual professional assessment of your qualifications will be carried out in relation to these specific requirements for subjects or subject areas, calculated in ECTS:
As a prerequisite for admission to the master’s programme, students must have completed a bachelor programme in technical sciences, a bachelor of engineering programme or a bachelor in natural science.
All applicants without a legal claim must prove that their English language qualifications is equivalent to level B (Danish level) in English.
The Master’s programme entitles the graduate to the Danish designation Civilingeniør, Cand. polyt. i avanceret effektelektronik. The English designation is: Master of Science (MSc) in Engineering (Advanced Power Electronics).
or
The Master’s programme entitles the graduate to the Danish designation Civilingeniør, Cand. polyt. i avanceret effektelektronik med specialisering i AI og Autonome Systemer. The English designation is: Master of Science (MSc) in Engineering (Advanced Power Electronics with specialisation in AI and Autonomous Systems).
The Master’s programme is a 2-year, research-based, full-time study programme. The programme is set to 120 ECTS credits.
The Study Board can approve that passed programme elements from other educational programmes at the same level replaces programme elements within this programme (credit transfer).
Furthermore, the Study Board can, upon application, approve that parts of this programme is completed at another university or a further education institution in Denmark or abroad (pre-approval of credit transfer).
The Study Board’s decisions regarding credit transfer are based on an academic assessment.
The Study Board’s possibilities to grant exemption, including exemption to further examination attempts and special examination conditions, are stated in the Examination Policies and Procedures published at this website: https://www.studyservice.aau.dk/rules
The rules for examinations are stated in the Examination Policies and Procedures published at this website: https://www.studyservice.aau.dk/rules
In the assessment of all written work, regardless of the language it is written in, weight is also given to the student's formulation and spelling ability, in addition to the academic content. Orthographic and grammatical correctness as well as stylistic proficiency are taken as a basis for the evaluation of language performance. Language performance must always be included as an independent dimension of the total evaluation. However, no examination can be assessed as ‘Pass’ on the basis of good language performance alone; similarly, an examination normally cannot be assessed as ‘Fail’ on the basis of poor language performance alone.
The Study Board can grant exemption from this in special cases (e.g., dyslexia or a native language other than Danish).
The Master’s Thesis must include an English summary. If the project is written in English, the summary can be in Danish. The summary is included in the evaluation of the project as a whole.
It is assumed that the student can read academic texts in English and use reference works, etc., in other European languages.
The following competence profile will appear on the diploma:
A Candidatus graduate has the following competency profile:
A Candidatus graduate has competencies that have been acquired via a course of study that has taken place in a research environment.
A Candidatus graduate is qualified for employment on the labour market based on his or her academic discipline as well as for further research (PhD programmes). A Candidatus graduate has, compared to a Bachelor, developed his or her academic knowledge and independence so as to be able to apply scientific theory and method on an independent basis within both an academic and a professional context.
The competence profile depends on the chosen programme. Below you will find the requirements for each programme.
MSc in Advanced Power Electronics
The graduate of the Master’s programme has the following qualifications:
Knowledge
Skills
Competences
Upon completion of the MSc programme, the student has achieved advanced professional competences in advanced power electronics and electrical machines together with design, control, modelling, simulation and optimisation of energy or mechatronic systems. The competences should advance the student’s ability to perform in functions within planning, development, consulting and research in Danish as well as international industries or public institutions. Examples could be research and development departments or top management positions in energy supply companies, such as wind power, machine manufacturing, or process industries as well as electro-technical and consultancy companies, etc.
MSc in Advanced Power Electronics with specialisation in AI and Autonomous Systems
The graduate of the Master’s programme has the following qualifications:
Knowledge
Skills
Competences
Upon completion of the MSc programme, the student has achieved advanced professional competences in AI and Autonomous Systems and machine learning together with design, control, modelling, simulation and optimisation of autonomous robotic systems. The competences should advance the student’s ability to perform in functions within planning, development, consulting and research in Danish as well as international industries or public institutions. Examples could be research and development departments or top management positions in robotic and IT companies, as well as electro-technical and consultancy companies, etc.
The programme is structured in modules and organised as a problem-based study. A module is a programme element or a group of programme elements, which aims to give students a set of professional skills within a fixed time frame specified in ECTS credits, and concluding with one or more examinations within specific exam periods. Examinations are defined in the modules of the present curriculum.
The programme is based on a combination of academic, problem-oriented and interdisciplinary approaches and organised based on the following work and evaluation methods that combine skills and reflection:
1st to 4th semesters of the programme are taught in English, and projects are to be written in English.
AAU micro modules
During the study programme, a number of AAU micro modules are offered.
AAU micro modules are small voluntary learning modules within a defined subject. AAU micro modules can be used as supporting learning modules in connection with projects as well as other modules of the study programme.
All modules are assessed through individual grading according to the 7-point grading scale or Passed/Not passed. All modules are assessed by the supervisor/lecturer together with an external examiner (external assessment) or with an additional examiner (internal assessment).
Instead of doing the project work and the elective courses, the student can do project work in a company as an individual or as a part of a group. See details in Moodle. However, the student’s special preferences for the semester must be approved by the Study Board in advance.
MSc in Advanced Power Electronics
Offered as:
1-professional | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
1 Semester
| ||||||
Diagnosis and Maintenance
(E-APEL-K1-1D) | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Machine Learning and Condition Monitoring
(E-APEL-K1-3C) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Probability Theory, Stochastic Processes and Applied Statistics
(22KMATSPASTA) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
System Identification and Diagnosis
(E-SEE-K1-3A) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
2 Semester
| ||||||
Control of Power Electronic Systems
(N-APEL-K2-1A) | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project | English |
Advanced Power Electronics and Applications
(N-EE-K2-12B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
Dynamic Modelling of Electrical Machines and Control Systems
(E-SEE-K2-7B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Non-linear Control and Reliability
(E-APEL-K2-2B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
3 Semester
Option 1
| ||||||
Advanced Control Of Electronic Systems
(E-APEL-K3-1D) | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Elective Courses Third Semester MSc
Two courses must be chosen
| Course | 10 | ||||
3 Semester
Option 2
| ||||||
Project-Oriented Study in an External Organisation
(N-EE-K3-7B) | Project | 30 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
3-4 Semester
Long Master's Thesis
| ||||||
Master’s Thesis
(E-APEL-K4-LB) | Project | 50 | 7-point grading scale | External examination | Master's thesis/final project | English |
Elective Courses Third Semester MSc
Two courses must be chosen
| Course | 10 | ||||
4 Semester
Master's Thesis
| ||||||
Master’s Thesis
(E-APEL-K4-1D) | Project | 30 | 7-point grading scale | External examination | Master's thesis/final project | English |
MSc in Advanced Power Electronics with specialisation in AI and Autonomous Systems
Offered as:
1-professional | ||||||
Specialisation:
AI and Autonomous Systems | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
1 Semester
| ||||||
Robotic Based Condition Monitoring
(E-AIAS-K1-1) | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Machine Learning and Condition Monitoring
(E-APEL-K1-3C) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Probability Theory, Stochastic Processes and Applied Statistics
(22KMATSPASTA) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
System Identification and Diagnosis
(E-SEE-K1-3A) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
2 Semester
| ||||||
Autonomous Robotic Systems
(E-AIAS-K2-1) | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project | English |
Deep Learning Systems
(E-AIAS-K2-2) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Non-linear Control and Reliability
(E-APEL-K2-2B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
Probabilistics Robotics
(E-AIAS-K2-3) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
3 Semester
Option 1
| ||||||
Advanced Control Of Electronic Systems
(E-APEL-K3-1D) | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Elective Courses Third Semester MSc
Two courses must be chosen
| Course | 10 | ||||
3 Semester
Option 2
| ||||||
Project-Oriented Study in an External Organisation
(N-EE-K3-7B) | Project | 30 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
3-4 Semester
Long Master's Thesis
| ||||||
Master’s Thesis
(E-APEL-K4-LB) | Project | 50 | 7-point grading scale | External examination | Master's thesis/final project | English |
Elective Courses Third Semester MSc
Two courses must be chosen
| Course | 10 | ||||
4 Semester
Master's Thesis
| ||||||
Master’s Thesis
(E-APEL-K4-1D) | Project | 30 | 7-point grading scale | External examination | Master's thesis/final project | English |
Elective courses on 3rd semester MSc
In addition to the project work "Advanced Control of Electronic Systems", the student can choose 10 ECTS courses on the 3rd semester. The Study Board offers a portfolio of elective courses covering the technical aspects for the Advanced Power Electronics programme with reference to well-defined research programmes which reflect the current research focus of the Department of Energy. Each year the Study Board selects a number of the courses below to be announced as the year’s elective courses (6 to 10). Based on the number of students assigned to each of these courses, 2 to 6 courses will be taught.
The elective courses approved by the Study Board are given in the following overview
Elective Courses Third Semester MSc Two courses must be chosen | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method | Language |
Adaptive and Predictive Control
(N-APEL-K3-4A) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
Advanced Modelling and Control of Voltage Source Converters
(N-EE-K3-9A) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Applied Optimisation for Energy Systems Engineering: Theory and Practice
(N-EE-K3-23B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
Artificial Intelligence
(N-APEL-K3-3B) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Artificial Intelligence in Energy Systems
(N-EE-K3-27) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
Battery Energy Storage Systems
(N-EE-K3-11C) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Control of Grid Connected Photovoltaic and Wind Turbine Systems
(N-EE-K3-14B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Fault Tolerant Control
(N-EE-K3-17B) | Course | 5 | 7-point grading scale | Internal examination | Written exam | English |
Future Power System in Denmark
(N-EE-K3-18B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Hybrid Power Plants
(N-EE-K3-28) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Modern Electrical Drives
(N-EE-K3-19B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Modern Power Electronic Devices and their Models
(N-EE-K3-20A) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Non-linear Control and Multi-body Systems
(N-EE-K1-11A) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Performance Assessment and Modelling of Batteries
(N-EE-K3-24B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Reliability of Power Electronics Based Power Systems
(N-EE-K3-25B) | Course | 5 | 7-point grading scale | Internal examination | Written exam | English |
System Identification and Diagnosis
(N-SEE-K1-3B) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
Test and Validation
(N-EE-K3-21A) | Course | 5 | Passed/Not Passed | Internal examination | Oral exam based on a project | English |
All students, who have not participated in Aalborg University’s PBL introductory course during their Bachelor’s degree, must attend the introductory course “Problem-based Learning and Project Management”. The introductory course must be approved before the student can participate in the project exam. For further information, please see the module description.
The current version of the study curriculum is published on the Aalborg University website for study curricula and the Study Board's website.
Additional information about semester descriptions is available in Moodle. Moodle provides study-related information, i.e. course descriptions, course literature, timetables and information about activities and events.
The curriculum is approved by the dean and enters into force as of September 1, 2024.
The Study Board does not offer teaching after the previous curriculum from 2023 after the summer examination 2025.
The Study Board will offer examinations after the previous curriculum, if there are students who have used examination attempts in a module without passing. The number of examination attempts follows the rules in the Examination Order.
The Vice-dean has on March 17, 2024, has approved the addition of the module "Hybrid Power Plants" as an elective course on the 3rd semester, valid from autumm 2024.