Facts

Academic partner:

School of Engineering (JTH) and Jönköping International Business School (JIBS)

Industrial Partners: Husqvarna,

Saab Training and Simulation, Fagerhults Belysning, Siemens Energy, Bufab, Axelent, CGI, Elgiganten Logistik, Emballator, Scania

Financier: KK-stiftelsen

Duration of the project: 2025-2028

Project Management Team:

Fredrik Tiedemann (Project leader), Joakim Wikner, Cecilia Sönströd, Naveed Ahkter, Madelene Zetterlind, Stefan Brolin

DIGITALISERING FÖR SMARTA PRODUKTER OCH TJÄNSTER

Business-oriented education for professionals

Building on the success of the previous AIM project, the follow-up initiative further develops and delivers advanced-level courses for working professionals in close collaboration with industrial partners.

Scope remains AI Management, integrating perspectives from Computer Science, Supply Chain & Operations Management, and Business Administration.

Introduction

This continuation of the AIM project focuses on deepening and expanding the concept of AI Management—covering both leadership and governance of AI solutions, and the strategic management of operations that combine multiple AI technologies. The project aims to strengthen the university’s collaboration with industry in education, ensuring participants gain up-to-date scientific knowledge and practical skills.
A central theme remains decision-making in data-driven organizations, now with expanded emphasis on interdisciplinary applications, including innovation management and ethical considerations.

AI Management enables companies to navigate the opportunities and challenges of the AI era, fostering secure, sustainable, and competitive business operations where employees can actively contribute to transformation. Courses are tailored for professionals and offered in flexible formats.

AI hjärna

Importance of competence development in AI management

As AI becomes increasingly embedded in diverse industries, the need for managers who can align AI adoption with strategic objectives is growing rapidly. The follow-up AIM project responds to this demand by providing training that blends theory and practice, equipping participants to design strategies, assess ethical implications, and integrate AI into core business processes.
Through these courses, participating companies strengthen their competitiveness, innovation capacity, and efficiency. The collaborative model ensures that course content is continually refined in response to evolving industry needs.

Project activities

The current phase of the project includes:

  • Delivering a comprehensive curriculum in AI Management, amounting to 45 credits, co-developed and taught with industry partners.
  • Expanding interdisciplinary course offerings that combine AI technology with supply chain management, strategic innovation, and ethical governance.
  • Providing professionals with the skills to accelerate transformation and drive effective AI adoption in their organizations.

For current and upcoming courses, see:

The project runs from 2025 to 2028, aiming to raise AI maturity across sectors and further strengthen the long-term partnership between the university and industry.

Course Structure
Multi-/cross-disciplinary courses (MDC)
12.5 credits
AI Technologies and Applications (AI-TA)
10 credits
Data-driven Supply Chain Management (DD-SCM)
10 credits
AI-based Strategy & Innovation (AI-SI)
10 credits
Data-driven AI for decision-makers, 5 credits
Data-driven operations planning and control, 5 credits
Leading change Acceleration AI adoption, 5 credits
AI in Industry and Business (F-AI) 2.5 credits

Interested in being an industrial partner or in taking a course?
Contact us at: aim@ju.se