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Curriculum: Master Artificial Intelligence & Data Science
Master
Artificial Intelligence & Data Science
Curriculum
1st Semester
Machine Learning 1: Fundamentals (5 ECTS)
Data Engineering and Visualisation (5 ECTS)
Software Engineering Practices in Machine Learning (5 ECTS)
Statistical Computing (5 ECTS)
Business Development & Innovation (3 ECTS)
AI Requirements Engineering (2 ECTS)
Intercultural Leadership and Management (5 ECTS)
2nd Semester
Machine Learning 2: Algorithms (5 ECTS)
Elective (5 ECTS)
PBL Project in AI & Data Science 1 (5 ECTS)
PBL Project in AI & Data Science 2 (5 ECTS)
Research Paper Seminar (5 ECTS)
Elective (5 ECTS)
3rd Semester
Master Thesis Project (5 ECTS)
Elective (5 ECTS)
Special Chapters in AI & Data Science (5 ECTS)
AI and Data Law (3 ECTS)
AI and Data Ethics (2 ECTS)
MLops
Elective (5 ECTS)
4th Semester
Master Thesis (25 ECTS)
Master Thesis Seminar (5 ECTS)
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