• CD141A Software Development and Projects (15 credits)
• CD630E Data and Society (7.5 credits)

The course is part of the degree requirements for a Master of Science in Engineering in Computer Science and Engineering (specialisation Applied Data Science)

The aim of this project course is to prepare the student for professional life by combining and applying skills and concepts from previous components of the programme, while deepening their knowledge in the field of data science through project work.

The students work in a group to develop a data processing artifact and document their work in a concise project report, as well as giving an oral presentation of the work. The students take on a real-world problem formulated by a faculty member or an industry partner outside of the university, or a topic of their own choice. Particular emphasis is placed on aspects related to project work and project management.

Knowledge and understanding

Upon completion of the course, the student shall be able to:

1. demonstrate, both orally and in writing, in-depth knowledge in a specific area of data science.

Competence and skills

Upon completion of the course, the student shall be able to:

2. use scientific work in an advanced project,

3. plan and perform an advanced study project within predetermined time frames,

4. apply abilities in all parts of data processing,

5. describe and discuss conclusions, knowledge and arguments in relation to their project work both orally and in writing, in both national and international contexts, and in dialogue with different groups, and

6. work together in teams and lead projects.

Judgement and approach

Upon completion of the course, the student shall be able to:

7. critically review work within the selected field of study, and

8. develop strategies to identify his or her own need for further knowledge in the selected field and be responsible for his or her own continued learning.

Lectures, seminars, project work and self-study.

The following are required to pass the course

• passing grade on project report (6.5 credits, UA) (Intended learning outcomes 1–4, 6, 8)
• passing grade on oral presentation and student reviewer work (1 credit, Pass/Fail) (Intended learning outcomes 1, 5, 7)

For all assessments, the materials must be presented in a manner that makes it possible to discern individual performance.

The final grade corresponds to the grade of the project report

• Dawson, C. (2015). Projects in computing and information systems. A student’s guide (3rd edition), Pearson.

In addition, the students are expected to search for appropriate course literature relevant to the specific project on their own with the support of the teacher.

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).

If a course is no longer offered, or has undergone significant changes, the students must be offered two opportunities for re-examination based on the syllabus that applied at the time of registration, for a period of one year after the changes have been implemented. The syllabus is a translation of a Swedish source text.

If a student has a Learning support decision, the examiner has the right to provide the student with an adapted test, or to allow the student to take the exam in a different format. The syllabus is a translation of a Swedish source text.