| Title |
Specialization Project in Computer Science
|
| Semester |
F2026
|
| Master programme in |
Computer Science
|
| Type of activity |
Project |
| Mandatory or elective |
Mandatory |
| Teaching language |
English
|
| Study regulation |
Read about the Master Programme and find the Study Regulations at ruc.dk |
| REGISTRATION AND STUDY ADMINISTRATIVE | |
| Registration |
You register for activities through stads selvbetjening during the announced registration period, which you can see on the Study administration homepage. When registering for courses, please be aware of the potential conflicts and overlaps between course and exam time and dates. The planning of course activities at Roskilde University is based on the recommended study programmes, which should not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programmes, an overlap of lectures or exam dates may occur depending on which courses you choose. |
| Number of participants |
|
| ECTS |
20
|
| Responsible for the activity |
Henrik Bulskov (bulskov@ruc.dk)
|
| Head of study |
Henrik Bulskov (bulskov@ruc.dk)
|
| Teachers |
|
| Study administration |
IMT Registration & Exams (imt-exams@ruc.dk)
|
| Exam code(s) |
U60551
|
| ACADEMIC CONTENT | |
| Overall objective |
The project work is problem-oriented and must develop the student's skills in applying theories and methods within a defined academic topic. The project work involves a self-chosen problem in relation to a selected specialization. The project work gives the student the opportunity to describe and reflect on independently performed work, in which complex issues are addressed. The student must acquire knowledge, skills and competences in order to translate theories, methods and solutions ideas into their own practice in relation to software development. |
| Detailed description of content |
The project work will be supplemented by several workshops relevant to the specialization chosen for the project. Such workshops will typically focus on areas such as:
Use of generative AI aids in the exam For project reports generative AI aids (GAI) are permitted in the work with the exam if the use is declared. You must clearly declare how you have used generative artificial intelligence (GAI). This should be included as part of the methodology section. This means that you must describe how you have used GAI, e.g. for the preparatory work on the project, to ask questions and search for information, to receive feedback and criticism on your text, to carry out proofreading or to improve language and readability. It is important that you actively relate to your choice of tools in this way, as it is part of the entire process of creating the project, and thus part of your scientific method and professional communication. The use of any specific text that is GAI-generated requires citation, just as when using all other sources from which direct quotations are used. In the library’s guide, you can find more information on how to cite AI and how to account for your use of GAI, as well as RUC’s guidelines for the use of generative artificial intelligence (GAI). |
| Course material and Reading list |
|
| Overall plan and expected work effort |
Project work will entail a total workload of 540 hours, equivalent to 20 ECTS credits. Of this total, approximately 40 hours are allocated to project initiation, while roughly 40 hours are dedicated to exam preparations and the exam itself. During the project phase, there will be 15 hours allocated to project initiation workshops and internal evaluations. A group of four students can anticipate receiving approximately 15 hours of supervision throughout their project. Students who are granted permission to work individually should expect a reduced number of supervision hours. An estimated 335 hours should be allocated to project work and creation of the project report. Additionally, around 95 hours will be dedicated to workshops that provide support for specialized project work. Students will select their specialization at the beginning of the semester and will engage in project work and workshops related to their chosen specialization. The workshops and the formation of project groups will take place at the outset of the project period. The three specializations are: 1) distribution, decentralisation and security 2) data science, artificial intelligence and business intelligence. 3) internet of things, gaming, robotics and virtual technologies |
| Format |
|
| Evaluation and feedback |
The project will be survey evaluated by the IMT department |
| Programme |
The framework and practices for supervision are outlined by the Study Board for Computer Science and Digital Transformation. In the framework, you will find information on what you can expect from your supervisor, norms for supervision hours and the progression report. You can find the supervision practice here (in Danish), along with other guidelines, such as guidelines for granting support for study trips, co-assessors at exams, the thesis contract etc. |
| ASSESSMENT | |
| Overall learning outcomes |
After completing this activity, students will be able to:
|
| Prerequisites |
|
| Form of examination |
Oral project exam in groups with individual assessment
Permitted group size: 2-6 students. The character limits of the project report are: For 2 students: 4,800-180,000 characters, including spaces. For 3 students: 4,800-192,000 characters, including spaces. For 4 students: 4,800-192,000 characters, including spaces. For 5 students: 4,800-204,000 characters, including spaces. For 6 students: 4,800-204,000 characters, including spaces. The character limits include the cover, table of contents, abstract, bibliography, figures and other illustrations, but exclude appendices. Time allowed for the exam including time used for assessment is for: 2 students: 60 minutes. 3 students: 75 minutes. 4 students: 90 minutes. 5 students: 105 minutes. 6 students: 120 minutes. Permitted support and preparation materials at the oral exam: All Assessment: 7-point grading scale Moderation: Internal co-assessor. |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Type of examination in special cases |
|
| Examination and assessment criteria (implemented) |
The examination is structured as follows:
Assessment Criteria: In assessing the written product, significant consideration will be given to the student's ability to:
In assessing the oral performance, particular emphasis will be placed on the extent to which the student can:
|
| Exam code(s) | |
| Last changed | 28/10/2025 |