Inhalt
Master's programme Statistics (UK 066/951)
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Overview |
ECTS Credits |
Elective Subjects | 18,00 | ........ Statistical Methods in Data Science | 0,00/6,00 | ................ KV Statistical Principles of Data Science | 6,00 | ........ Data Engineering | 0,00/6,00/12,00 | ................ Data Warehousing | 6,00 | ........................ VL Data Warehousing | 3,00 | ........................ UE Data Warehousing | 3,00 | ................ VL Machine Learning: Supervised Techniques | 3,00 | ................ VL Visual Analytics | 3,00 | ........ Applied Statistics | 0,00/6,00/12,00/18,00 | ................ SE Applied Statistics | 6,00 | ................ SE Statistical Applications | 6,00 | Mathematical Statistics | 24,00 | ........ VL Probability Theory | 4,00 | ........ UE Probability Theory | 6,00 | ........ VL Advanced Statistical Inference | 4,00 | ........ UE Advanced Statistical Inference | 6,00 | ........ KV Stochastic Processes | 4,00 | Data Analysis | 12,00 | ........ KV Biostatistics | 4,00 | ........ SE Methods for Statistical Projects | 4,00 | ........ SE Statistical Projects | 4,00 | Statistical Methods | 24,00 | ........ Statistical Concepts | 12,00 | ................ KV Bayes Statistics | 4,00 | ................ KV Experimental Design | 4,00 | ................ KV Computational Statistics | 4,00 | ........ Statistical Modelling | 12,00 | ................ KV Advanced Regression Analysis | 4,00 | ................ KV Statistical Learning | 4,00 | ................ KV Survival Analysis | 4,00 | Soft Skills | 3,00 | ........ IK Cross Cultural Management for Engineers | 3,00 | ........ SE Work Psychology | 4,00 | ........ KS Communicative Skills English (B2) | 3,00 | ........ KS Business English I (B2+) | 3,00 | ........ KS Social and gender IT aspects | 3,00 | ........ KS Intercultural Skills English (C1) | 3,00 | ........ VL Ethics and Gender Studies | 3,00 | Free Electives | 12,00 | Master Thesis Seminars | 4,00 | ........ SE Master's Seminar | 2,00 | |
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