Deep Tech At the intersection of Science, Technology and Entrepreneurship

The EIT’s DTTI platform currently features 14 quality-checked courses from HSLU, covering 50% of all EIT Deep Tech areas, from Sustainable Energy to Applied AI, across EQF levels 4–8. Designed with maximum flexibility—from microcredentials (2 ECTS) to bachelor’s (180 ECTS) and master’s programmes (120 ECTS), in-presence, online, hybrid, full-time and part-time—these offerings reach learners from diverse academic and professional backgrounds and address different time availabilities.

• AI Applications in Data Science and Engineering
• AI Applications in Medical Science and Engineering
• Bachelor in Artificial Intelligence and Machine Learning
• Bachelor of Science in Energy and Environmental Systems Engineering
• CAS Cloud and Platform Manager
• CAS Data Engineering and Applied Data Science
• CAS Digital Construction 1 – Tender and Development
• CAS Digital Construction 2 – Design and Planning
• CAS Digital Construction 3 – Collaboration and Management
• CAS Machine Learning
• CAS Modern Software Engineering & Development
• CAS Photovoltaics
• Digital Construction – BIM Foundation
• Master of Science in Applied Information and Data Science

To date, 1,371 participants (20% women) have dedicated over 1.6 million hours to deep tech training. This achievement represents a strong example of impact within the Deep Tech Talent Ecosystem and the EIT Deep Tech Talent Community, as it not only delivers high-quality education across critical technology areas, but also actively contributes to closing the skills gap in these key fields, strengthening Europe’s capacity to innovate and compete globally.