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) and Ministerial Order no. 2271 of December 1, 2021 on University Examinations (the Examination Order). Further reference is made to Ministerial Order no. 35 of January 13, 2023 (the Admission Order) and Ministerial Order no. 1125 of July 4, 2022 (the Grading Scale Order).
The programme is offered in Aalborg.
The Master’s programme falls under The Technical Faculty of IT and Design, Aalborg University.
The Master’s programme falls under Study Board of Computer Science
The Master’s programme is associated with the external examiners corps on Computer Science
Applicants with a legal right of admission (retskrav)
Applicants without legal right of admission
All applicants without a legal claim must prove that their English language qualifications is equivalent to level B (Danish level) in English
Admission to the master’s programme in Computer Science IT requires that the applicant has passed a relevant qualifying bachelor’s or professional bachelor’s degree programme. A bachelor’s or professional bachelor’s degree programme is defined as relevant if the degree programme provides competencies to a minimum of 150 ECTS within computer science related courses, containing the following subject areas:
The Master’s programme entitles the graduate to the Danish designation Cand.scient. i datalogi (it). The English designation is: Master of Science (MSc) in Computer Science (IT).
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 text 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.
The graduate of the Master’s programme
Knowledge
Skills
Competencies
The programme is structured in modules and organized 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 organized 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 or Pass/Fail. All modules are assessed by external examination (external grading) or internal examination (internal grading or by assessment by the supervisor only)
Options
Students have to choose between option A and option B on the 2nd Semester:
Offered as:
1-professional | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
1 Semester
| ||||||
Secure, Scalable and Useful Systems
(DSNCSITK120) | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project | English |
Programming Paradigms
(DSNCSITK115) | Course | 5 | 7-point grading scale | External examination | Written or oral exam | English |
Machine Intelligence
(DSNCSITK121) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Electives 1st semester
Select 1 course
| Course | 5 | ||||
2 Semester
Option A
| ||||||
Reliable Innovative Systems
(DSNCSITK220) | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project | English |
Electives 2. semester, option A
Select 3 courses
| Course | 15 | ||||
2 Semester
Option B
| ||||||
Design, Definition and Implementation of Programming Languages
(DSNCSITK221) | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project | English |
Agile Software Engineering
(DSNCSITK224) | Course | 5 | 7-point grading scale | External examination | Written or oral exam | English |
Languages and Compilers
(DSNCSITK222) | Course | 5 | 7-point grading scale | External examination | Written or oral exam | English |
Computability and Complexity
(DSNCSITK223) | Course | 5 | 7-point grading scale | External examination | Written or oral exam | English |
3 Semester
| ||||||
Pre-Specialisation in Computer Science
(DSNCSITK301) | Project | 20 | 7-point grading scale | External examination | Oral exam based on a project | English |
Entrepreneurship
(DSNCSITK320) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Electives 3rd semester
Select 1 specialisation course
| Course | 5 | ||||
4 Semester
| ||||||
Master's Thesis
(DSNCSITK411) | Project | 30 | 7-point grading scale | External examination | Master's thesis/final project | English |
Electives 1st semester Select 1 course | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method | Language |
Selected Topics in Database Research and Practice
(DSNCSITK116) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Distributed Systems
(DSNCSITK117) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Selected Topics in HCI
(DSNCSITK118) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Electives 2. semester, option A Select 3 courses | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method | Language |
Machine Learning
(DSNCSITK225) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Selected Topics in Modelling and Verification
(DSNCSITK226) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Software Innovation
(DSNCSITK227) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Systems Development in Praxis
(DSNCSITK228) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Quantum Information and Computing
(DSNCSITK229) | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam | English |
Electives 3rd semester Select 1 specialisation course | ||||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method | Language |
Specialisation Course in Human-Computer Interaction
(DSNCSITK321) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Specialisation Course in Database Technology
(DSNCSITK322) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Specialisation Course in Distributed Systems
(DSNCSITK323) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Specialisation Course in Semantics and Verification
(DSNCSITK324) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Specialisation Course in Machine Intelligence
(DSNCSITK325) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Specialisation Course in Programming Technology
(DSNCSITK326) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Specialisation Course in System Development
(DSNCSITK327) | Course | 5 | 7-point grading scale | External examination | Oral exam | English |
Selected modules are created to the extent that the Board of Studies assesses that there is sufficient enrollment for them. If an elective course is not created, the registered students are offered other elective courses. The specified optional modules are offered and created following a study board decision. This means that not all elective modules are created every year.
Prior to the registration period for the 3rd semester, the study board for computer science will inform the students about which specialization courses from the curriculum will be offered in the coming semester. Likewise, new specialization courses may be added as a result of current research topics.
Further information about the programme, including exams are published on the Board of Studies’ website.
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 Department of Computer Science's website.
The curriculum is approved by the dean and enters into force as of September 1, 2023.
The Study Board does not offer teaching after the previous curriculum from 2020 after the summer examination 2024.
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 May 4th, 2023, The Vice-Dean of Education has approved the revision of the examination in the module "Languages and Compilers", on the 2nd semester, from "practical´" to "written or oral". The amendment is valid from spring 2024.
On January 17, 2024, The Vice-Dean of Education has approved a newer version of the module "Quantum Information and Computing", valid from spring 2024.