066 645 Master programme Data Science

  • Show all courses of the academic year of which the selected semester is part of.

2018W-2019S (2018U)

1. Semester

TitlePrecon.HoursECTS
VO Statistical Computing
2.03.0
107.106 VO 2019S
2.03.0
VU Data-intensive Computing
2.03.0
194.048 VU 2019S
2.03.0
VU Datenbanksysteme Vertiefung
4.06.0
184.780 VU 2019S
4.06.0

2. Semester

TitlePrecon.HoursECTS
VU Advanced Methods for Regression and Classification
3.04.5
3.04.5
VU Interdisciplinary Lecture Series on Data Science
1.01.0
1.01.0

3. Semester

TitlePrecon.HoursECTS
PR Interdisciplinary Project in Data Science
4.05.0
4.05.0
4.05.0

Without semester recommendation

TitlePrecon.HoursECTS
VU Data-oriented Programming Paradigms
2.03.0
2.03.0
VU Experiment Design for Data Science
2.03.0
2.03.0
VU Machine Learning
3.04.5
184.702 VU 2019S
3.04.5
184.702 VU 2018W
3.04.5
VO Cognitive Foundations of Visualization
2.03.0
2.03.0
VU Einführung in Semantic Systems
2.03.0
2.03.0
VO Information Visualization
2.03.0
186.141 VO 2019S
2.03.0
188.305 VO 2018W
2.03.0
VU Data Acquisition and Survey Methods
2.03.0
2.03.0
VO Data Stewardship
2.03.0
194.044 VO 2019S
2.03.0
VU Communicating Data
2.03.0
VU Data Center Operations
2.03.0
UE Data Stewardship
2.03.0
194.045 UE 2019S
2.03.0
VU Internet Security
2.03.0
188.366 VU 2019S
2.03.0
VU Organizational Aspects of IT-Security
2.03.0
2.03.0
PR User Research Methoden
2.03.0
2.03.0
VU Software Security
2.03.0
188.959 VU 2019S
2.03.0
VU User Research Methoden
2.03.0
187.A68 VU 2018W
2.03.0
VU Recommender Systems
2.03.0
194.035 VU 2019S
2.03.0
VU Statistical Simulation and Computer Intensive Methods
2.03.0
2.03.0
VU Advanced Learning Methods
2.03.0
VU Advanced Modeling and Simulation
2.03.0
VO Bayesian Statistics
2.03.0
107.395 VO 2019S
2.03.0
UE Bayesian Statistics
1.02.0
107.397 UE 2019S
1.02.0
VU Business Intelligence
4.06.0
188.429 VU 2018W
4.06.0
VU Intelligent Audio and Music Analysis
3.04.5
3.04.5
VU Deep Learning for Visual Computing
2.03.0
2.03.0
VO Multivariate Statistics
3.04.5
107.388 VO 2018W
3.04.5
VO General Regression Models
2.03.0
107.347 VO 2019S
2.03.0
UE General Regression Models
1.02.0
107.348 UE 2019S
1.02.0
VU Similarity Modeling 2
2.03.0
188.498 VU 2018W
2.03.0
VO Introduction to Statistical Inference
3.04.5
UE Introduction to Statistical Inference
1.02.0
VU Mathematical Programming
2.03.0
186.835 VU 2019S
2.03.0
VU Modeling and Simulation
2.03.0
101.732 VU 2018W
2.03.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
2.03.0
UE Multivariate Statistics
1.01.5
107.391 UE 2018W
1.01.5
VU Problem Solving and Search in Artificial Intelligence
2.03.0
2.03.0
VU Self-Organizing Systems
3.04.5
188.413 VU 2018W
3.04.5
VU Social Network Analysis
2.03.0
194.050 VU 2018W
2.03.0
VU Basics of Parallel Computing
2.03.0
191.114 VU 2019S
2.03.0
VU Energy-efficient Distributed Systems
2.03.0
2.03.0
VU Algorithmics
4.06.0
186.814 VU 2018W
4.06.0
VO Analysis 2
3.03.0
104.267 VO 2019S
3.03.0
UE Analysis 2
2.04.5
104.268 UE 2019S
2.04.5
VU Algorithmic Geometry
2.03.0
186.122 VU 2018W
2.03.0
VU Approximation Algorithms
2.03.0
186.102 VU 2018W
2.03.0
VU Complexity Analysis
2.03.0
VU Effiziente Programme
2.03.0
185.190 VU 2018W
2.03.0
VU Database Theory
2.03.0
181.140 VU 2019S
Database Theory canceled
2.03.0
VU Fixe-Parameter Algorithms and Complexity
2.03.0
2.03.0
VU GPU Architectures and Computing
4.06.0
4.06.0
VU Graph Drawing Algorithms
2.03.0
192.053 VU 2019S
2.03.0
VU High Performance Computing
3.04.5
184.725 VU 2018W
3.04.5
VU Heuristic Optimization Techniques
2.03.0
2.03.0
VU Optimization in Transport and Logistics
2.03.0
VO Nichtlineare Optimierung
2.03.0
105.147 VO 2018W
2.03.0
VU Structural Decompositions and Algorithms
2.03.0
2.03.0
UE Nichtlineare Optimierung
1.02.0
105.652 UE 2018W
1.02.0
VU Weiterführende Multiprocessor Programmierung
3.04.0
UE Design and Evaluation of Visualisations
2.03.0
2.03.0
VU Advanced Information Retrieval
2.03.0
2.03.0
VO Deductive Databases
2.03.0
192.067 VO 2018W
2.03.0
VU Description Logics and Ontologies
2.03.0
184.772 VU 2018W
2.03.0
VU Informationsdesign und Visualisierung
2.03.0
VU Information Extraction
2.03.0
UE Information Visualization
1.01.5
186.143 UE 2019S
1.01.5
188.308 UE 2018W
1.01.5
VU KBS for Business Informatics
4.06.0
VU Knowledge-based Systems
4.06.0
184.730 VU 2019S
4.06.0
VO Processing of Declarative Knowledge
2.03.0
2.03.0
VU Real-time Visualization
2.03.0
186.191 VU 2018W
2.03.0
VU Semantic Web Technologies
2.03.0
184.729 VU 2018W
2.03.0
VU Semi-Automatic Information and Knowledge Systems
2.03.0
2.03.0
VU Visual Data Science
2.03.0
186.868 VU 2018W
2.03.0
VU Visualization 2
3.04.5
186.833 VU 2019S
3.04.5
SE Seminar für Diplomand_innen
1.01.5
1.01.5
1.01.5

Legend

Courses belong to the introductory and orientation phase ("Studieneingangs- und Orientierungsphase")
Courses belong to the introductory interview ("Studieneingangsgespräch")
Courses require the completion of the introductory and orientation phase
Courses require the completion of the introductory interview STEG