AI and Data Strategy
The courses is for professionals and part of the programme MAISTR (hh.se/maistr) where participants can study the entire programme or individual courses. The course is part of the course track innovation management and is held online in English.
The course provides a link between the institutional economics and industrial management approaches on AI data coordination and value appropriation.
The course deals about institutions, data access and data (re-) use in an AI environment. The course consists of three modules:
- Institutions, laws and regulations related to AI data access, sharing and (re-) use.
- Data properties with a bearing on AI data coordination.
- Firm-level factors that affect value creation and AI data coordination.
Level:
Advanced level
Application code:
20651
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. Exemption of the requirement in Swedish is granted.
Selection rules:
Credits: 100%
Start week:
week: 12
Number of gatherings:
0
Instructional time:
Various times
Tuition fee:
Language of instruction:
Teaching is in English.
Level:
Advanced level
Application code:
20651
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. Exemption of the requirement in Swedish is granted.
Selection rules:
Credits: 100%
Start week:
week: 14
Number of gatherings:
0
Instructional time:
Various times
Tuition fee:
Language of instruction:
Teaching is in English.
