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PhD Courses

As part of the PhD programme you will have to take courses corresponding to 45 ECTS. Courses on PhD level must be a minimum of 25 ECTS 

In co-operation with your supervisor you will have to present a list of suggested courses to the Doctoral Degree Committee.  The list will take into account both the suggested topic for your thesis and your background.  For example, if you do not have a solid background in logistics, you will on one hand need a large collection of courses in logistics, on the other hand, you will already have a solid background in some related subject that will be beneficial for your thesis. The Doctoral Degree Committee may require that you take courses without credit in order to bring you to an acceptable level for starting a doctoral study.

There are two obligatory courses:

In addition, Molde University College offers PhD courses at irregular intervals; see Scheduled courses to the right.

Reading courses

The Doctoral Degree Committee will accept reading courses.  Course description and literature list must be approved by the committee in advance.

Talks at international conferences

Talks at international conferences give 3 ECTS. PhD candidates will get credits for maximum 3 talks, a total of 9 ECTS (use this form to register talks: http://kvalitet.himolde.no/KS_UNL466)

Entering/applying for a course

If you are already a PhD student on one of our programs you can register for the given course using StudentWeb. If you come from a program outside Molde University College you have to apply for the given course using the link on this page "Apply to a course".

 PhD Courses

​See all PhD Courses in Logistics (DRL):


 Innholdsredigering ‭[3]‬

DRL007: Cost benefit analysis

DRL025: Supply Chain Performance Measurement

  • 5 ECTS
  • 23 - 27 April 2018
  • Molde University College
  • Application Deadline: 8 April 2018
  • Contact Person: Professor Harald Hjelle
  • Lecturer: Kim Sundtoft Hald, Professor (mso), Copenhagen Business School. Department of Operations Management. Denmark.
  • Course Description
  • Brochure: SCPM-2018.pdf

DRL 026: Applied Linear Regression and Introduction to Stata 

DRL001: The History of Logistics

DRL 024 URBE2017 URban freight and BEhaviour change

Last updated: 28.08.2018 10:38:16
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