This English‑taught MSc prepares you to apply contemporary AI technologies to real business challenges and to drive digital innovation across organisations. You will learn both how AI systems function and how to integrate them into business processes, digital platforms and strategic decision‑making—always with attention to technical feasibility, organisational fit and ethical implications.
The programme combines management and technical perspectives: you’ll build expertise in business processes, digital systems and strategic leadership while working on practical, real‑world projects using tools such as ChatGPT, Google Vertex AI and Power BI. Coursework and projects emphasize hands‑on application so you can translate AI capabilities into measurable business impact.
You will also develop the methods and mindsets needed to lead transformation and innovation initiatives, including decision modelling, low‑code development and agile approaches like Design Thinking. Throughout the degree there is a focus on creative problem solving and future‑oriented skills that prepare you for roles guiding organisations through digital change.
Requirements (overview)
Curriculum overview
This interdisciplinary master's curriculum blends core business knowledge with hands‑on AI and data science skills to train professionals who can bridge the gap between technology teams and business leaders. Coursework covers foundational management topics — such as leadership, strategy, supply chain, marketing and operations — alongside technical training in data analysis, machine learning, generative AI, prompt engineering and AI modelling. The aim is to equip you to design, evaluate and deploy AI solutions that deliver measurable business value.
Applied learning, change leadership and responsible AI
Practical application is central: you will work on real‑world projects, business case studies and hackathons that simulate commercial challenges. Change management and innovation modules focus on process management, project leadership and implementing organizational change so AI initiatives can scale. Ethical and regulatory topics (AI governance, relevant legal frameworks and bias detection) are integrated to ensure graduates can design and manage AI systems responsibly. The programme also develops soft and future skills — leadership coaching, teamwork, pitching and structured self‑reflection — to prepare you for collaborative, client‑facing roles.
Key modules
Learning outcomes
Industry engagement & tools
This combination of business, technical and ethical training prepares international graduates to take on roles that require both AI expertise and the ability to drive adoption and value creation within organisations.
This master's program expects applicants to hold a completed Bachelor's degree in a relevant subject area. Degrees in disciplines such as Business Administration, Engineering, Mathematics, Physics, Chemistry, Computer Science, Logistics, Law, Agriculture and similar fields are considered suitable. If your bachelor's program used a 180 ECTS structure, there are clear options to make up the additional 30 ECTS before or during admission.
Work experience is viewed positively: at least one year in a technical expert, managerial or project management role is desirable. You will also need to provide standard identity and background documents as part of your application; international applicants should note the identity-document requirement shown below.
Winter Semester (International)
There are no application deadlines, so you can apply at any time until all of the places in the programme have been taken.
Graduates are prepared for roles that bridge technical AI work and business leadership, such as AI product manager, AI/ML consultant, data strategist, digital transformation manager or innovation/project lead. The programme’s mix of technical skills, strategic training and applied projects makes alumni attractive to technology firms, consultancies, finance, healthcare, manufacturing and logistics companies that are implementing AI-driven solutions.
Because the course emphasises responsible deployment and governance, graduates can also take on roles focused on AI ethics, compliance and risk management, or pursue entrepreneurial paths to launch AI-enabled services and products.
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