Study Plan for Experience-based Master in Applied Informatics online (2026–2029)

Facts about the program

ECTS Credits:
90
Study duration:
3 years
Organisation:
Part-time 50%
Campus:
Molde
Teaching language:
English
Study level:
Exp-based master's degree (1.5-2 years)

Table of contents

Information on the programme

Organizations rely on successful digitalization to drive innovation and adapt to a more sustainable future. This master's program equips professionals in both public and private sectors with the competence to apply digital technologies effectively. As the business environment becomes increasingly digitized and globalized, the program offers expertise in areas such as Business Processes and ERP, Digital Communication with Customer Experience and Relationships, Advances in Digital Business Management, Blockchain for Businesses, IoT System Applications for Creating Smart, Safe, and Sustainable Workplaces, Applied Artificial Intelligence, Generative AI with Text Mining, and Computer Vision for Business Efficiency. The study program is finalized by conducting a master thesis organized as a research project ideally addressing challenges in the student's own workplace.

What do you learn?

Learning outcomes (knowledge, skills and general competence)

Knowledge

  • Has advanced knowledge of information technologies and systems as they apply to logistics and supply chain management.
  • Has advanced knowledge of digitalization processes and their impact on logistics networks, including emerging technologies such as AI, IoT and Blockchain.
  • Has advanced knowledge to understand the theoretical frameworks and methodologies relevant to applied informatics, including data analytics, system design, and operational efficiency.
  • Can apply knowledge to new areas within the academic field.
  • Has advanced knowledge about the ethical and societal implications of digitalization in logistics and the role of sustainable practices.

Skills

  • Can analyze and deal critically with complex logistical systems and identify inefficiencies using advanced information technologies and data-driven methods.
  • Can analyze existing theories, methods and interpretations in the field and work to design, implement, and manage information systems that optimize logistics operations and improve decision-making processes.
  • Can analyze existing theories, methods and interpretations in the field and work effectively utilize digital tools and technologies to develop innovative solutions for contemporary challenges in logistics and supply chain management.
  • Can analyze existing theories, methods and interpretations in the field and propose and evaluate organizational changes that leverage digital technologies to enhance supply chain performance and sustainability.
  • Can carry out an independent, limited research or development project under supervision and in accordance with applicable norms for research ethics

General Competence

  • Can apply his/her knowledge and skills in new areas in order to carry out advanced assignments and projects related to information systems and logistics clearly and effectively to diverse audiences.
  • Can apply his/her knowledge and skills in new areas in order to carry out advanced assignments and the capacity to collaborate in interdisciplinary teams, applying acquired knowledge and skills to real-world research and applications in logistics.
  • Can apply his/her knowledge and skills in new areas in order to carry out advanced critical thinking and analytical skills in evaluating scientific literature and industry reports, with the ability to integrate findings into practical applications.
  • Can apply his/her knowledge and skills in commitment to continuous learning and professional development in the field of applied informatics and logistics.
  • Can communicate about academic issues, analyses and conclusions in the field, both with specialists and the general public
  • Can contribute to new thinking and innovation processes

Structure and content

Structure and content of programme

The experience-based master's program in Applied IT is a part-time study program with half-time study progression The study program is suitable for students who also have a job in addition to studies. The teaching is delivered digitally. You will have access to all information that is published in the study administration system Canvas. This includes links to lectures and video recordings of lectures.

For each subject you are going to take, you must read the description in the study guide and the information in Canvas. There you will find out whether there are coursework requirements, digital written exams or digital oral exams. It is the responsibility of each individual student to follow up so that you do what is required in the subject.

We strongly recommend you participate in the Yearly Physical Workshop for IT-Master students to be held each year during the spring semester.

Further information on the default IT-master program:

1st Semester Fall

In the first semester, two obligatory courses can be followed online.

2nd Semester Spring

In the second semester, two obligatory courses can be followed online.

3rd Semester Fall

In the third semester, follow the compulsory seminar LOG904-101 Research design. This seminar runs intensively over a week. We recommend attendance in Molde, but it can also be followed online. The seminar is necessary to be able to start the master's thesis and is followed by a project description of your master thesis in the seminar LOG904-100 Proposal. Those who prefer, can postpone both LOG904-101 Research design and LOG904-100 Proposal until the fourth semester.

Other than LOG904-100 and LOG904-101 the semester consists of one obligatory course that can be followed online.

4th Semester Spring

The 4th semester consists of two obligatory courses that can be followed online.

Those who did not complete the seminar in Research Design and Proposal in the third semester will be able to do so in the spring semester instead. The seminar will be given online and does not require physical attendance.

LOG904-100 Proposal is a written assignment that describes the plan for the master's thesis, and this must be defended orally. The students will be assigned a supervisor for the assignment.

It is expected that the students themselves will take control of the registration in the required subjects, as well as finding a topic for the master's thesis.

5th Semester Fall

In the fifth semester, the students must begin writing the master's thesis. This assumes that the seminar in Research Design and the Proposal have been completed in the third or fourth semester. Normally, the Master's thesis should be written individually, but two students can write together if approved by the IT-Master Study leader. Guidelines for the master's thesis will be provided.

6th semester spring

In the sixth and final semester, the master's thesis must be submitted. The submission is at the end of May and the thesis must be defended orally two to three weeks later. A grade is given based on both the written submission and the oral presentation. If the company you are writing for wants the assignment to be confidential, a confidentiality form must be filled out.

If a postponement is necessary, the next possible delivery date will be at the end of the autumn semester, or alternatively at the end of the spring semester the following year.

Organisation and learning methods

This program is fully digital. Students rely on using our LMS (Learning Management System), which currently is Canvas, in addition/integrated with Teams or Zoom.

We aim to invite students to Molde to attend a physical workshop every year of the programme, preferably in the Spring term, depending on participation and content.

Study progression

An achievement of at least 50% of nominal study progression during an academic year is required in order to maintain the place in the study programme.

Assessment

Assessment are made on a course-by-course basis, and will vary. Currently, most of the courses have digital home exams, some of which are supplemented by a presentation or oral examination.

Educational opportunities

The study alone does not qualify for admission to a PhD program.

Study Model

Autumn 2026

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Spring 2027

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Spring 2028

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Autumn 2028

Experience-based Master in Applied Informatics

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Spring 2029

Experience-based Master in Applied Informatics

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Last updated from FS (Felles studentsystem) Oct. 15, 2026 12:22:45 AM