Curriculum

Data Science Application	1	2	3	4
Machine Learning & Deep Learning		10,0
Agile Product Development (elective)			4,0
Big Data Processing			4,0
Data Science for Engineering & Natural Sciences			4,0
Internet of Things (elective)			4,0
Business Platforms & Cloud Computing (elective)			4,0
Application-oriented analysis platforms			4,0
Data Visualization & Visual Analytics (elective)			4,0
Data Science for Business & Commerce			4,0
Artificial Intelligence			4,0
Human-Computer Interaction (elective			4,0
Quantitative Process & Quality Management (Six Sigma) (elective)			4,0
Process automation (elective)			4,0

Data Science Basics	1	2	3	4
Software development 1 Lab	2,5
Software development 1	6,0
Data Engineering	4,0
Statistical learning 1	6,0
Statistical learning 1 Lab	2,5
Dat Engineering Lab	5,0
Software development 2 Lab		2,5
Software development 2		6,0
Statistical learning 2 Lab		2,5
Statistical learning 2		6,0

Engineering	1	2	3	4
Trends in ERP (elective)				3,0
Trends in Smart Products (elective)				3,0
Trends in Data Science (elective)				3,0
Trends in Web Technologies (elective)				3,0

International Competence	1	2	3	4
Study Trip		3,0

Management	1	2	3	4
Systemic Innovation	2,0
Team Leadership & Project Management	2,0
Business Ethics, Compliance and Law				3,0

Transfer Practice	1	2	3	4
Practical Project			4,0
Academic Methods			2,0
Master Thesis Seminar				2,0
Master thesis				22,0

General Overview	1	2	3	4
ECTS Credits*	30	30	30	30