COURSE CURRICULUM

The Master’s program in Data Analysis and Machine Learning is structured over three semesters, totaling 90 ECTS, and is designed to provide an intensive, focused curriculum that combines advanced technical skills with practical applications. In the first semester, students acquire foundational knowledge through courses in advanced data technologies, tools and methods of data analysis, software development, machine learning, advanced programming, and advanced mathematics, each contributing five ECTS, ensuring a strong base in both programming and analytical techniques. The second semester builds on this foundation, though specific courses are not listed, it is assumed to emphasize the application of learned skills in real-world data analysis, AI, and business intelligence contexts, potentially integrating project work, case studies, and hands-on exercises. The third semester, similarly comprising 30 ECTS, likely focuses on advanced topics, practical application, or a capstone project to consolidate learning and prepare students for professional roles. This three-semester structure allows students to gain in-depth expertise in programming, machine learning, data analytics, and software development while developing problem-solving and critical thinking skills. Graduates of this accelerated program are prepared for careers in AI, data science, business analytics, IT consultancy, and other data-driven fields, equipped with both technical proficiency and the ability to apply their skills effectively in professional environments.