Pursuant to consolidation Act 778 of August 7, 2019 on Universities (the University Act), the following is established. The programme also follows the Joint Programme Regulations and the Examination Policies and Procedures for Aalborg University.
The Master’s programme is organised in accordance with the Ministry of Higher Education and Science’s Order no. 20 of January 9, 2020 on Bachelor’s and Master’s Programmes at Universities (the Ministerial Order of the Study Programmes) and Ministerial Order no. 22 of January 9, 2020 on University Examinations (the Examination Order). Further reference is made to Ministerial Order no. 153 of February 26, 2020 (the Admission Order) and Ministerial Order no. 114 of February 3, 2015 (the Grading Scale Order).
The programme is offered in Aalborg.
The Master’s programme falls under the The Technical Faculty of IT and Design, Aalborg University.
The Master’s programme falls under the Study Board of Electronics and IT.
The programme is affiliated with the Nationwide engineering examiners/Electronics, IT and Energy (Electromagnetic direction).
Applicants with a legal claim to admission (retskrav):
Applicants with one of the following degrees are entitled to admission:
Applicants without legal claim to admission:
Bachelor’s programmes qualifying students for admission:
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 one of the designation depending on the specialisation:
or
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.studieservice.aau.dk/regler-vejledninger
The rules for examinations are stated in the Examination Policies and Procedures published at this website: https://www.studieservice.aau.dk/regler-vejledninger
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 and use reference works, etc., in English.
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.
Knowledge:
Common:
Signal processing and computing:
Acoustics and audio technology:
Skills:
Common:
Signal processing and computing:
Acoustics and audio technology:
Competencies:
Common:
Signal processing and computing:
Acoustics and audio technology:
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 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:
All modules are assessed through individual grading according to the 7-point scale of Pass/Fail. All modules are assessed by external examination (external grading) or internal examination (internal grading or by assessment by the supervisor only).
Offered as:
1-professional | ||||||
Specialisation:
Signal Processing and Computing | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
1 Semester
| ||||||
Applied Signal Processing
(ESNSPAK1P1) | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Stochastic Processes
(ESNCAK1K1F) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Fundamentals of Acoustics and Electro-acoustics
(ESNSPAK1K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Optimization Methods
(ESNSPAK1K2) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
2 Semester
Option A
| ||||||
Scientific Computing
(ESNSPAK2P5) | Project | 20 | 7-point grading scale | External examination | Oral exam based on a project | English |
Reconfigurable and Low Energy Systems
(ESNSPAK2K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Numerical Scientific Computing
(ESNSPAK2K3) | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation | English |
2 Semester
Option B
| ||||||
Reconfigurable Computing
(ESNSPAK2P6) | Project | 20 | 7-point grading scale | External examination | Oral exam based on a project | English |
Reconfigurable and Low Energy Systems
(ESNSPAK2K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Numerical Scientific Computing
(ESNSPAK2K3) | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation | English |
3 Semester
Option A
| ||||||
Signal Processing and Acoustics
(ESNSPAK3P8) | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Array and Sensor Signal Processing
(ESNSPAK3K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Machine Learning
(ESNSPAK3K2F) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
3 Semester
Option B
| ||||||
Project-Oriented Study in an External Organisation
(ESNSPAK3P5) | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Array and Sensor Signal Processing
(ESNSPAK3K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Machine Learning
(ESNSPAK3K2F) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
3 Semester
Option C
| ||||||
Project-Oriented Study in an External Organisation
(ESNSPAK3P6) | Project | 25 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Machine Learning
(ESNSPAK3K2F) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
3 Semester
Option D
| ||||||
Project-Oriented Study in an External Organisation
(ESNSPAK3P7) | Project | 30 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
3-4 Semester
Option E: Long Master's Thesis
| ||||||
Master's Thesis
(ESNSPAK4P2) | Project | 50 | 7-point grading scale | External examination | Master's thesis/final project | English |
Array and Sensor Signal Processing
(ESNSPAK3K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Machine Learning
(ESNSPAK3K2F) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
4 Semester
Master's Thesis
| ||||||
Master's Thesis
(ESNSPAK4P1) | Project | 30 | 7-point grading scale | External examination | Master's thesis/final project | English |
Offered as:
1-professional | ||||||
Specialisation:
Acoustics and Audio Technology. | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
1 Semester
| ||||||
Applied Signal Processing
(ESNSPAK1P1) | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Stochastic Processes
(ESNCAK1K1F) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Fundamentals of Acoustics and Electro-acoustics
(ESNSPAK1K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Optimization Methods
(ESNSPAK1K2) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
2 Semester
Option A
| ||||||
Sound Technology for the Normal Hearing
(ESNSPAK2P7) | Project | 20 | 7-point grading scale | External examination | Oral exam based on a project | English |
Human Sound Perception and Audio Engineering
(ESNSPAK2K2) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Numerical Scientific Computing
(ESNSPAK2K3) | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation | English |
2 Semester
Option B
| ||||||
Sound Technology for the Hearing-impaired
(ESNSPAK2P4) | Project | 20 | 7-point grading scale | External examination | Oral exam based on a project | English |
Human Sound Perception and Audio Engineering
(ESNSPAK2K2) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Numerical Scientific Computing
(ESNSPAK2K3) | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation | English |
3 Semester
Option A
| ||||||
Signal Processing and Acoustics
(ESNSPAK3P8) | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Array and Sensor Signal Processing
(ESNSPAK3K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Architectural and Environmental Acoustics
(ESNSPAK3K3) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
3 Semester
Option B
| ||||||
Project-Oriented Study in an External Organisation
(ESNSPAK3P5) | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Array and Sensor Signal Processing
(ESNSPAK3K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Architectural and Environmental Acoustics
(ESNSPAK3K3) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
3 Semester
Option C
| ||||||
Project-Oriented Study in an External Organisation
(ESNSPAK3P6) | Project | 25 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Architectural and Environmental Acoustics
(ESNSPAK3K3) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
3 Semester
Option D
| ||||||
Project-Oriented Study in an External Organisation
(ESNSPAK3P7) | Project | 30 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
3-4 Semester
Option E: Long Master's Thesis
| ||||||
Master's Thesis
(ESNSPAK4P2) | Project | 50 | 7-point grading scale | External examination | Master's thesis/final project | English |
Array and Sensor Signal Processing
(ESNSPAK3K1) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
Architectural and Environmental Acoustics
(ESNSPAK3K3) | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam | English |
4 Semester
Master's Thesis
| ||||||
Master's Thesis
(ESNSPAK4P1) | Project | 30 | 7-point grading scale | External examination | Master's thesis/final 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 course description.
The curriculum is approved by the dean and enters into force as of 01.09.2020.
The Study Board does not offer teaching after the previous curriculum from 2018 after the summer examination 2021.
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.
On March 25, 2022 the Vice-Dean of Education has approved that the type of exam in the module "Numerical Scientific Computing" is changed from "Written or oral" to "Active participation/continuous evaluation" and that the re-exam will be "Written or oral". The amendment is valid as of Spring 2022.