Prerequisites for Autonomous Systems
Academic requirements for this programme
National Applicants (holding a Bachelor from Denmark)
The following Bachelor of Science programmes from DTU have access to admission to the MSc Eng programme in Autonomous Systems.
- Electrical Engineering
- Design of Sustainable Energy Systems
- Artificial Intelligence and Data
- Software Technology
- Cyber Technology
The following Bachelor of Engineering programme from DTU has access to admission to the MSc Eng programme in Autonomous Systems:
Other National and International Applicants (holding a Bachelor from outside Denmark)
To be eligible for admission, applicants must document a relevant Bachelor’s degree (or equivalent). Applicants must have completed a minimum of 80 -90 ECTS credits within relevant subject areas, distributed across the following groups.
- 15 ECTS Mathematics (Linear algebra, Calculus)
- 10 ECTS Statistics and probability
- 20 ECTS Programming (Object-oriented programming, mathematical programming )
- 20 ECTS Electrical components and electronics prototyping Iincluding sensing and mechatronics)
- 10 ECTS Signal processing and analysis (analog and digital signal)
- 5-10 ECTS Machine learning (Supervised/Unsupervised Learning)
Bachelor of Science students from other universities in Denmark with a relevant background such as
- Electrical Engineering – AU
- Manufacturing and Operations Engineering – AAU
- Robotics Engineering – AAU
- Electronic Engineering and IT – AAU
- Mechanical Engineering and Manufacturing – AAU
- Electronics – SDU
- Robot Systems - SDU
may apply for admission and will be assessed individually.
The following Bachelors of Engineering from other universities in Denmark with a relevant background may apply for admission and will be assessed individually:
- Mechatronics - SDU
International applicants with a relevant Bachelor’s degree must be able to document that they possess corresponding qualifications and will be assessed individually.
The specific academic requirements for the MSc courses can be found in DTU’s course database and it is the individual student’s responsibility to ensure that these requirements are met. The assessment will be based on completed and documented courses. Admission is based on an overall academic assessment. Meeting the minimum ECTS requirements does not in itself guarantee admission.
List of suggested competences
The topics below are not strictly demanded for admission, but experience with some of them would be an advantage. The mentioned courses are some indicative courses that are offered in DTU; other courses with similar focus are equally considered.
- Mathematics at level 2, indicative courses offered in DTU:
| 01035 | Advanced Engineering Mathematics 2 | 5 | point | Autumn E2B (Thurs 8-12) |
| or | ||||
| 01034 | Advanced Engineering Mathematics 2 | 5 | point | Autumn E1A (Mon 8-12) |
- Statistic and probability. Indicative courses offered in DTU:
| 02402 | Statistics (Polytechnical Foundation) | 5 | point | Autumn E3A (Tues 8-12), Spring F4A (Tues 13-17) |
| 02403 | Introduction to Mathematical Statistics | 5 | point | June |
| 02405 | Probability theory | 5 | point | Autumn E4B (Fri 8-12) |
- Programming (Python, C/C++, etc.), indicative courses offered in DTU:
| 02002 | Computer Programming (Polytechnical Foundation) | 5 | point | Autumn E1B (Thurs 13-17) |
| or | ||||
| 02003 | Computer Programming (Polytechnical Foundation) | 5 | point | Autumn E4B (Fri 8-12) |
| 02112 | Embedded Systems Programming | 5 | point | January |
| 02160 | Agile Object-oriented Software Development | 10 | point | Spring F5 (Wed 8-17) |
| 02635 | Mathematical software programming | 5 | point | Autumn E1B (Thurs 13-17) |
- Machine Learning and Data Mining, indicative courses offered in DTU:
| 02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
| 02182 | Symbolic Artificial Intelligence | 5 | point | Spring F1B (Thurs 13-17) |
| 02451 | Introduction to Machine Learning | 5 | point | Spring F4A (Tues 13-17) |
- Signal Processing and Analysis. Indicative courses offered in DTU:
| 22050 | Continuous time signals and linear systems | 5 | point | Spring F3A (Tues 8-12) |
| 22051 | Signals and linear systems in discrete time | 5 | point | Autumn E1B (Thurs 13-17) |
- Electrical Component. indicative courses offered in DTU:
| 02138 | Digital Electronics 1 | 5 | point | Autumn E4B (Fri 8-12) |
| 34600 | Electric circuits 1 | 5 | point | Autumn E3A (Tues 8-12) |
- Electronics Prototyping (Arduino, Raspberry Pi, etc.), indicative courses offered in DTU:
| 34315 | Internet of things – application and infrastructure implementation | 5 | point | Spring F2B (Thurs 8-12) |
| 41028 | Design of mechatronic systems 1 | 5 | point | Spring F4B (Fri 8-12) |
Limited intake and selection criteria
The master's degree programme has a limited intake. Meeting the admission requirements does not automatically ensure your offer of admission. Because of the limited intake all qualified applicants will be prioritised according to a set of selection criteria and a point-based system.
Only if you are a student with a Bachelor’s degree from a Danish institution and meet one of the four criterias listed below will you be guaranteed an offer of admission:
- Legal right of admission
- Direct admission
- Students who have been conditionally admitted under the Supplementary admission
- Pre-approved students under the *Transition semester* category
Other National and International applicants
Selection criteria
If there are more qualified applicants than available student places, the selection will be based on the following criteria:
Evaluation Criteria and Weighting:
Criterion | Max Points | Details |
Academic Performance | 60 | Based on overall GPA, and GPA within the pre-requisites for admission and grade harmonization |
Other relevant subjects | 20 | Programme specific – Number of ECTS |
Signs of academic excellence | 10 | Research/Publications/Awards (Minimum Bachelor level) |
Study-related work | 10 | Industry, internships, projects within Industry (Minimum Bachelor level) |
The minimum point requirement for the programme will be determined based on the overall competitiveness of the other applicants.
General admission requirements
Only applicants holding a relevant Bachelor of Science in Engineering, a Bachelor in Engineering (diplomingeniøruddannelse) or a Bachelor of Natural Science degree can be admitted to a Master of Science in Engineering programme. The bachelor's degree must be less than ten years old.
Supplementary educational activities (only applicable for National students): The individual MSc Eng programme states in detail which bachelor programmes qualify and whether applicants must complete supplementary educational activities. Requirements for supplementary educational activities can equate to up to 30 ECTS credits and are specified as a list of courses under the individual MSc Eng programmes. The specific requirements must be met before graduating from the bachelor's programme or in connection with conditional admission to a particular MSc Eng programme. The courses must be passed prior to the commencement of studies within one year from the conditional admission. Supplementary educational activities in connection with conditional admission to an MSc Eng programme do not form part of the MSc Eng programme, and tuition fees are charged. If the supplementary courses have not been passed within the specified deadlines, the conditional admission to the programme is withdrawn.
The Master of Science in Engineering programmes are offered in English. Therefore applicants must demonstrate proficiency in English (B-level, IELTS, TOEFL, CAE) Applying for an MSc at DTU - Language test requirements
DTU offers an Honours Programme as part of all MSc Eng. programmes. The admission requirements are described at https://www.dtu.dk/english/education/graduate/honours-programmes
Specific prerequisites for the Industry MSc Eng Programmes
The prerequisites are similar to the specific ones that apply to the 2-year-programmes, but in addition, the applicant must have a job relevant to the studies with a workload of at least 25 hours a week, or the applicant may be self-employed in a start-up company. Read more about the rules on https://www.dtu.dk/english/education/graduate/industry-master-of-science-in-engineering