Master in Management - Artificial Intelligence in Business Kozminski University

Overview

It is designed for the next generation of business and technology leaders who want to strategically apply artificial intelligence in organizational settings. The curriculum blends technical knowledge with business acumen and is tailored to working professionals, especially those with 2–4 years of experience in the tech sector.

Key Facts

• Over 60% of courses are taught by experienced practitioners or pracademics, combining real-world expertise with academic insight.

• Participants gain access to industry-relevant platforms like DataCamp and CampusAI, supporting hands-on learning in AI, data, and coding.

• On-campus integration includes a creativity training session and Human-to-Machine (H2M) interaction design, fostering innovation through active learning.

• The programme incorporates new technologies, including a robot used in practical exercises on human-centred AI design.

• Five selected students will participate in a study visit to Switzerland.

Starting from October, students will benefit from additional development support offered as part of an EU co-funded educational project. This includes access to premium learning platforms such as DataCamp and CampusAI, on-campus workshops focused on creativity and Human-to-Machine interaction design, and the opportunity to join an international study visit.

The programme modification is funded by the project “A New School for a New World – Educational Programmes for the Technological Era”, implemented under the European Funds for Social Development 2021–2027 programme and co-financed by the European Social Fund Plus.

Career Opportunities 

Graduates of the Management - Artificial Intelligence in Business programme from Kozminski University  will be prepared to:

• Manage AI- and technology-driven projects in dynamic environments
• Apply advanced data analysis, machine learning, and AI techniques to solve business challenges
• Strategically integrate AI into business processes and organizational decision-making

• Design human-centered, ethical, and forward-looking AI applications

They will be equipped for roles such as: AI Project Manager, Product Owner in tech companies, Data Strategist, or Digital Innovation Consultant.