This Master’s programme prepares you to apply robotics, artificial intelligence and digital technologies to the pressing challenges facing modern agriculture — increasing resource efficiency, raising sustainability and animal welfare standards, and reducing labour demands. It blends agricultural science with technical know-how and offers an application-focused specialisation in AI, robotics and digitalisation, emphasising how these technologies are implemented in farming practice.
The course has an international orientation that gives direct exposure to the global agricultural sector and builds intercultural competence. Alongside technical training, the programme develops soft skills needed for a fast-growing market, widening your career options across industry and policy contexts.
Managed by the Department of Sustainable Agricultural and Energy Systems at Weihenstephan-Triesdorf University of Applied Sciences, the MSc is taught by both agricultural and technology experts. You will study a broad range of modules that draw on different areas of expertise and are geared toward practical, application-oriented outcomes.
Key facts and notes
Curriculum overview
This full-time Master of Science runs for four semesters and is taught in a sequence that moves from foundational subjects to advanced, specialised topics. New intakes begin once a year in the winter semester (starting in October). The course combines classroom instruction with practical learning formats so you build both theoretical understanding and applied skills relevant to modern agriculture.
Teaching and outcomes
Learning is delivered through hands-on exercises, interactive seminars and project-based work, with opportunities to apply methods and technologies to real-world farming problems. By the end of the programme you will be prepared for expert and leadership roles in digital agriculture, able to design and implement sensor- and data-driven solutions, apply artificial intelligence and robotics in crop and livestock production, and lead projects that address contemporary challenges in agricultural systems and markets.
Structure highlights
The curriculum is organised so each semester has a distinct focus: the first semester provides core agricultural and digital foundations; the second concentrates on AI, robotics and precision approaches; the third emphasises applied projects and advanced AI; and the fourth is devoted to the master’s thesis and its colloquium. Elective options in semesters one through three let you tailor parts of your study to specific interests.
Key modules and learning outcomes (concise)
Semester 1 (foundations)
Semester 2 (technology & application)
Semester 3 (application & seminar)
Semester 4 (capstone)
Core learning outcomes you can expect
For a complete module breakdown and detailed curriculum information, consult the programme’s curriculum document (PDF).
To be eligible for this Master's programme you must hold a completed Bachelor's degree (or equivalent) with a study workload of at least 180 ECTS credits or a duration of six semesters. The programme is designed to build on undergraduate training in technical and agricultural disciplines, so applicants are expected to come from related fields.
Degrees accepted include, but are not limited to, computer science, electrical engineering, mechatronics, agricultural engineering, agricultural sciences, agribusiness, horticulture and agriculture. Equivalent or closely related degree programmes will also be considered—if your qualification uses a different credit system or title, you should check its equivalence.
For details on the application process, required documents and how equivalence is assessed, please refer to the HSWT admissions information.
Winter Semester (International)
15 July 2026
Winter Semester (EU/EEA)
15 July 2026
Graduates are qualified for specialist and management positions in research and development, product management, marketing and sales within the agricultural and agri‑tech sectors. Typical employers include agri‑tech companies, start-ups, agricultural consultancies, and firms offering precision farming, robotics and AI solutions.
Other career paths include roles in public administration and international organisations working on sustainable agricultural systems, as well as opportunities in farm management and consultancy where digital technologies and data‑driven decision making are applied. The programme’s mix of technical and agricultural training targets growing demand for professionals who can implement and manage digital innovation in agriculture.