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Doctoral Courses

For a doctoral degree at Technology and Society it requires 60 ECTS in approved courses. Of these, 30 ECTS are of an in-depth nature within Computer Science, where the credits are shared between subject theory and subject methodology. The remaining 30 ECTS are allocated on the basis of the students' individual needs in relation to education objectives.


At least 30 ECTS in passed courses are required for a licentiate degree. Of these, 15 ECTS are of an in-depth nature within Computer Science, where the credits are shared between subject theory and subject methodology. The remaining 15 ECTS are allocated on the basis of the doctoral student's needs in relation to education objectives.

The courses must be documented in the Individual Study Plan.

University Courses

Malmo University have joint University Courses at doctoral level. The courses are designed to meet some of the national exam objectives for postgraduate studies.

You´ll find information about the PhD courses at Malmö University here.

Faculty Courses

The Faculty of Technology and Society has following courses:

Critical Data Studies, 5 credits

This course provides an overview of Critical Data Studies as well as conceptual tools to critically understand and theorize limitations and possibilities of Big data in different contexts.

Course start: April 2020

Course plan

More info and application: Martin Berg

 


 

Ethics and gender equality in technology research. 2,5 credits

The aim of this course is to enable the doctoral student to develop critical tools and perspectives to understand intersections of technology, gender and ethics.

Course start 3 November 2020

Syllabus

More info and application: Nancy Russo

 

 


 

Human-centered Artificial Intelligence, 5 credits

The course aims to introduce and problematize human-centered artificial intelligence

Course start: 2 December 2019

Syllabus

Apply to: Cecilia Ovesdotter Alm

 


Internet of Things and People, 5 credits / 10 credits

Current research within Internet of Things focusing on the user. One course participant presents a scientific article on a seminar and the others take actively part in the diskussion.

Syllabus 5 credits

Syllabus 10 credits

Contact: Paul Davidsson

 

 


 

Research methods in computer science, 5 credits

The aim of the course is for the student to develop knowledge and understanding of current research methods and approaces in Computer Science research. 

Course start: 20th of January 2020

Syllabus

More info: Carl Magnus Olsson

 


 

Software, firmware and electronics for instrumentation and data collection, 5 credits

The course aims to give an introduction to how microcontrollers can be used to log data from the surrounding environment, in research projects that include experiments. 

Course start: February 2020

Syllabus 

Contact: David Cuartielles

 


Courses within the research school Data Driven Systems

Introduction to Data Driven Systems, 5 credits

The course aims to develop the student's knowledge and understanding of current research in data driven systems, e.g., data mining, context awareness, and user experience design. The course provides an overview, covering a wide range of topics related to data driven systems with the aim of providing context to the student.

Syllabus

The course starts 4 February 2019 at 01:45 PM in room NIC0301

Schedule: See Kronox

Sign up be e-mail to Bengt Nilsson

 


 

Individual reading course in Data Driven Systems, 5 credits

The course aims to develop the student's knowledge and understanding of current research in some area of data driven systems. The course further aims to develop the student’s ability to present in writing and to critically reflect on a specific part of the research area applicable to the participant's research. The course is realized as a reading course covering scientific articles, selected jointly with the supervisors and compiled into a written literature review

Syllabus

 


 

It is also possible to take courses at other universities and have the credits transfered into the program.

Last updated by Susanne Lundborg