EMBA in Machine Learning and Intelligent Systems
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This Master study program is designed for professionals who aim to develop advanced expertise in machine learning, artificial intelligence, and intelligent systems within modern business and technological environments. The program focuses on how data-driven algorithms and intelligent technologies can be applied to optimize decision-making, automate processes, and create innovative solutions across industries. It explores areas such as predictive analytics, deep learning, intelligent automation, and the integration of AI systems into organizational strategies.
This is a 100% research-based program, enabling participants to critically analyze machine learning models, computational frameworks, and real-world applications while developing evidence-based solutions. The study level is equivalent to ISCED Level 7 and EQF Level 7. The International Standard Classification of Education (ISCED) is a global framework used to classify education levels across countries, while the European Qualifications Framework (EQF) defines learning outcomes based on knowledge, skills, and competencies. Level 7 represents advanced, specialized knowledge and high-level analytical and strategic capabilities typically associated with master-level education.
The program is structured into five modules: two research-focused modules that strengthen academic and analytical competencies, two general modules that provide core management and interdisciplinary knowledge, and one specialized module dedicated to machine learning and intelligent systems. These are complemented by thesis and research activities, allowing participants to apply theoretical frameworks to real-world technological challenges.
The duration of the program is a minimum of 12 months, with flexibility for participants to extend their study period based on professional and personal commitments. The program carries 60 ECTS (European Credit Transfer and Accumulation System), aligning it with the second cycle of higher education in Europe.





