Computer Science: Master Thesis

Summary

Admission requirements

1. Second cycle (advanced level) Research Methodology in Computer Science of at least 7.5 credits
2. Bachelor of Science in Computer Science or Degree of Engineering in Computer Science, or a degree in a related field. All degrees must be equivalent to at least 180 higher education credits.
3. The equivalent of English B in Swedish secondary school.

Syllabus

Syllabus for students spring 2019, spring 2018

Course Code:
DA613A revision 1.2
Level of specialisation
A1E
Main fields of study:
Computer Science
Language:
English
Date of establishment:
15 May 2012
Date of ratification:
15 May 2012
Decision-making body:
Faculty of Technology and Society
Enforcement date:
20 January 2014
Replaces Syllabus ratified:
15 May 2012

Course description

The aim of the course is that the student shall further develop the knowledge, understanding and skills necessary to work with problems in the area of computer science in a scientific manner. This includes the ability to independently plan, perform and present a project that makes at least a minor contribution to current research in the area. Moreover, the student's knowledge in research methodology shall be applied in, for example, the choice of scientific method and thesis writing.

Advancement in relation to the degree requirements

This course is included in Computer Science: Master Programme (one year), and is part of the degree requirements for a Master of Science (60 credits) with a major in Computer Science.

Entry requirements

1. Second cycle (advanced level) Research Methodology in Computer Science of at least 7.5 credits
2. Bachelor of Science in Computer Science or Degree of Engineering in Computer Science, or a degree in a related field. All degrees must be equivalent to at least 180 higher education credits.
3. The equivalent of English B in Swedish secondary school.

Learning outcomes

Knowledge and understanding
On completion of the course the student shall demonstrate:

  • deepened knowledge in at least one area of computer science
  • deepened knowledge of the research process and its planning

Skills and abilities
On completion of the course the student shall demonstrate:
  • ability to independently identify, formulate, and handle complex problems
  • ability to plan and carry out research and development projects within given time frames
  • ability to describe how a research project has contributed to the field of knowledge
  • ability to actively search for and analyze relevant information concerning a given research problem
  • ability to select a research method for a given scientific problem and argue for its suitability
  • skills to apply research methods
  • skills to present results from a research project in a scientific manner both orally and in writing
  • skills to communicate results from a research project to different audiences

Capability of assessing and perception
On completion of the course the student shall demonstrate:
  • capability to assess and analyze relevant research questions of importance for computer science
  • capability to critically analyze a scientific report and identify its main strengths and weaknesses

Assessments

The examination is composed of three parts: problem definition and project plan (2 higher education credits), thesis project (12 higher education credits), and opposition (1 higher education credits).

All three parts have to be passed in order to pass the course. The grade for the complete course is determined by the examiner using criteria in an assessment matrix.

Course content

The course consists of three parts: problem definition and project planning, the thesis project, and the opposition on another Master thesis.

The thesis project has two phases:

  • to carry out the project and document it in writing (the Master thesis), and
  • to present and defend the thesis orally.

The opposition is a thorough study of another Master thesis, i.e., to critically analyze it in a written opposition, and to act as an opponent during the presentation of that thesis.

Learning activities

The teaching is project-based and is adapted to the existing knowledge, skills and experience of the student, and aims at developing critical thinking, argumentation, and problem solving in a scientific context. The main activities are thesis project work (approximately 350 hours), supervision (approximately 10 hours), and seminars (approximately 10 hours). The student shall carry out the project, write the thesis, and make an oral presentation. In addition, the student shall be the opponent for another thesis (approximately 30 hours).

During the project work the student is assigned an academic supervisor, and may in addition have an external contact person, e.g., a user of the project results. The supervisor (and the potential external contact person) supports and guides the student through the project, but the student should be proactive in requesting the guidance. The student is expected to report to the supervisor continuously during the project work.

Grading system

Excellent (A), Very Good (B), Good (C), Satisfactory (D), Pass (E) or Fail (U).

Course literature and other teaching materials

  • Dawson, C.C. (2009), Projects in Computing and Information Systems, Pearson., 2005.

  • Oates, B.J. (2005). Researching Information Systems and Computing. Sage Publications, UK.

  • Zobel, J. (2004). Writing for Computer Science – The art of effective communication. 2nd ed., Springer, UK.

Course evaluation

All students are given the opportunity to give their comments at the end of the course in writing. A compilation of the results will be available on the faculty computer net. Student participation is in the form of course meetings.


Course reports

Contact

The education is provided by the Faculty of Technology and Society at the department Computer Science and Media Technology.

Further information

Samuel Andersson, Student Services Assistant
Phone: 040-6657759
Johan Holmgren, Course Responsible
Phone: 040-6657688

Application

26 March 2018 - 03 June 2018 Day-time 100% Malmö Application code: mah-88214

National application round

Tuition fees

for non-EU students only

First instalment: 31000 SEK
Full tuition Fee: 31000 SEK

Open for late application

Apply

01 April 2019 - 09 June 2019 Day-time 100% Malmö This course is offered as part of a program