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About the course
The purpose of the course is for the student to further develop knowledge, understanding, and skills needed to work with problems in the field of computer science in a scientific way. This includes the ability to independently plan, perform and present a project that represents a contribution to current research in the area. The student's knowledge of research methodology shall also be applied in the choice of scientific method and thesis writing.
This course is offered as part of programme:
Course content
The course consists of three parts: problem definition and project planning; the thesis project; and opposition on another student's thesis.
The thesis project has two phases:
- Carrying out the project and documenting it in writing (in the form of the thesis), and
- Presenting and defending the thesis orally
The opposition consists of carefully studying and critically analyzing another student's thesis, producing a written opposition, and acting as an opponent at the presentation of another student's thesis.
Entry requirements
- Bachelor's or engineering degree (at least 180 credits), in computer science or related subjects such as mathematics, informatics, telecommunications, electrical engineering, physics.
- At least 15 credits in programming.
- At least 7.5 credits in mathematics.
- Knowledge equivalent to English 6 at Swedish upper secondary level.
- At least 45 credits completed within the main area of the Computer Science program: Applied Data Science, master's program including 5 credits from Computer Science Research Methods and Computational Theoretical Foundations (DA634E or DA658E)
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
