Bachelor's Project
2025/2026
Content, progress and pedagogy of the module
Disclaimer.
This is an English translation of the module. In case of
discrepancy between the translation and the Danish version, the
Danish version of the module is valid.
The bachelor’s project is based on a specific data source from an application area, typically in collaboration with an external partner. An analysis of relevant issues and analysis methods must be conducted, followed by an actual data analysis. Ethical, legal, and security aspects must be included.
Learning objectives
Knowledge
- Document knowledge of and overview of the relevant techniques and concepts within a data science research area
- Use correct technical terminology
Skills
- Reason about and with the relevant concepts and techniques
- Justify and choose relevant solution models based on knowledge of the possibilities and limitations provided by the theories and methods of the field
- Communicate a data science problem and the associated conceptual framework
Competences
- Apply the concepts and reasoning within the field to analyze and solve a selected problem within the chosen data science field
- Use project management techniques and methods to document and manage complex collaborations
- Be able to reflect on one’s own practice in literature search, citation, and source criticism
Type of instruction
In addition to project work, there will be lectures, study groups, and/or self-study of project-relevant topics within the domain, possibly supplemented with mini-projects.
Extent and expected workload
The student is expected to spend 30 hours per ECTS, which for this activity means 600 hours.
Exam
Exams
| Name of exam | Bachelor's Project |
| Type of exam | Master's thesis/final project
Project report, which must include:
An analysis of a data science problem and the formulation of a problem within this context Solution to and perspective on this problem The project report can be formatted as a scientific article in the form and length of an article for a scientific conference |
| ECTS | 20 |
| Permitted aids | Aids are permitted during the preparation of the project, but not during the exam. Rules regarding AI are mentioned on the semester page in MOODLE |
| Assessment | 7-point grading scale |
| Type of grading | External examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Additional information
Contact: Study Board for Computer Science via cs-sn@cs.aau.dk or 9940 8854
Facts about the module
| Danish title | Bachelorprojekt |
| Module code | DSNDVML631 |
| Module type | Project |
| Duration | 1 semester |
| Semester | Spring
|
| ECTS | 20 |
| Language of instruction | Danish and English |
| Location of the lecture | Campus Aalborg |
| Responsible for the module |
Organisation
| Education owner | Bachelor of Science (BSc) in Data Science and Machine Learning |
| Study Board | Study Board of Computer Science |
| Department | Department of Computer Science |
| Faculty | The Technical Faculty of IT and Design |
