AI and Business Development

4 credits

The course is part of the programme MAISTR ( where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at

About the course AI and business innovation, 4 credits

Who is this course for?
Innovation refers to how firms and organizations create and capture value, and how customers and end-users adapt new solutions and processes. Typically, innovation is slow, costly and cumbersome and as the availability of information increases, the basis for how and what firms and organizations innovate is increasingly based on their information and problem-solving capabilities. AI promises dramatic improvements in decision making, streamlining operations, and even allowing for an increased innovative ability. However, AI innovations tend to be stand alone solutions, rather than being integrated in a firm’s or the customer’s innovative activities and operations. The course fits you as an engineer or manager who will learn how to apply relevant models and frameworks to better understand, spot, and exploit the opportunities and challenges of innovation for and with AI.

What will you learn from this course?
The course introduces main aspects of innovation in relation to AI. The focus is on different types of innovation, how they are managed and differences and similarities across applications and industries. You will also be introduced to how ‘big data’ and AI affects business models and innovation ecosystems.
The course is based on blended learning, consisting of recorded lectures, lectures, seminars and workshops. Experiential learning is a foundation of the course in that you are to draw on your experiences for learning how AI influences innovation. The course includes one or two recommended campus visits.

Spring 2022 (Distance (Internet), Varied, 33%)


Advanced level

Application code:


Entry requirements:

Degree of Bachelor or Degree of Bachelor of Science in Engineering or the equivalent of 180 Swedish credit points or 180 ECTS credits at an accredited university. Applicants must have written and verbal command of the English language equivalent to English course 6 in Swedish Upper-Secondary School.

Selection rules:

Credits: 100%

Start week:

week: 03

Number of gatherings:


Instructional time:

Various times

Language of instruction:

Teaching is in English.

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