Prerequisites for Human-Centered Artificial Intelligence

Academic requirements for this programme

National Applicants (holding a Bachelor from Denmark)

The following BSc Eng Programmes at DTU give students legal right of admission to the MSc Eng programme in Human-Centered Artificial Intelligence:

To benefit as much as possible from the MSc programme, it is recommended that elective courses in the BSc programme are used to build up the necessary prerequisites.

Other BSc Eng students at DTU have access to be admitted subject to having completed 2 of the 3 courses below (01034 or 01037 can be taken alternatively instead of 01035):

01035 Advanced Engineering Mathematics 2 5 point Autumn E2B (Thurs 8-12), Spring F2B (Thurs 8-12)
02402 Statistics (Polytechnical Foundation) 5 point Autumn E3A (Tues 8-12), Spring F4A (Tues 13-17)
02450 Introduction to Machine Learning and Data Mining 5 point Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17)

In addition, the student must master at least one programming language and be familiar with algorithms and software engineering methods. This is strongly recommended to be achived by including at least 3 of the below or equivalent courses during the BSc studies:

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)
02105 Algorithms and Data Structures 1 5 point Spring F2B (Thurs 8-12)
02157 Functional Programming 5 point Autumn E4B (Fri 8-12)
02161 Software Engineering 1 5 point Spring F2A (Mon 13-17)
02601 Introduction to Numerical Algorithms 5 point Spring F1B (Thurs 13-17), Autumn E4B (Fri 8-12)

Note: The courses 02101 Introductory Programming and 02631 Introduction to programming and data processing also count towards the block above for students that have taken these previously.

B Eng Students from DTU

Students from the following B Eng Programmes at DTU (after 2015) have access to be admitted to the MSc Eng programme in Human-Centered Artificial Intelligence

subject to having completed 1 of the 2 courses below (01034 or 01037 can be taken alternatively instead of 01035):

01035 Advanced Engineering Mathematics 2 5 point Autumn E2B (Thurs 8-12), Spring F2B (Thurs 8-12)
02450 Introduction to Machine Learning and Data Mining 5 point Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17)

BSc Eng Students from other universities

BSc Eng students from relevant engineering educations at other universities have access to be admitted to the programme subject to having prerequisites similar to one of the DTU BSc programmes from which students are entitled to admission.

BSc Eng students with relevant degrees have access to be admitted if they can document that their competencies in programming, algorithms and applied math are comparable to those of candidates from one of the DTU BSc Eng programmes from which students are entitled to admission. For example bachelors of Software Engineering from The Farao Islands are accepted.

To facilitate the admission process, applicants are asked to document (in a specific format) how the academic prerequisites have been fulfilled.

B Eng Students from Other Universities

B Eng students from other institutions are admitted if they can document they fulfill the prerequisites from DTU B Eng students. The requirements may be fulfilled by passing specified courses from a research based education prior to commencement on the MSc Eng programme in Human-Centered Artificial Intelligence.  

To facilitate the admission process, applicants are asked to document (in a specific format) how the academic prerequisites have been fulfilled.

International Applicants (holding a Bachelor from outside Denmark)

Applicants for the MSc programme in Human-Centered Artificial Intelligence should hold a BSc degree in relevant areas such as e.g. information and communication technologies or computer science. We expect applicants to document that they master at least one programming language, have solid skills in engineering math and a strong interest in the technologies underlying either web and social interaction, computer graphics, data science, machine learning or human-centred computing.

To facilitate the admission process, applicants are asked to document (in a specific format) how the academic prerequisites have been fulfilled.

Admission will be decided on the basis of the relevance and quality of the applicant's educational background. 

 

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.

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