066 645 Master programme Data Science

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

2024W-2025S (2018U)

1. Semester

TitlePrecon.HoursECTS
VU Statistical Computing
2.03.0
105.731 VU 2025S
2.03.0
VU Advanced Database Systems
4.06.0
VU Data-intensive Computing
2.03.0
VO Information Visualization
2.03.0

2. Semester

TitlePrecon.HoursECTS
VU Data-oriented Programming Paradigms
2.03.0
VU Experiment Design for Data Science
2.03.0
VU Advanced Methods for Regression and Classification
3.04.5
3.04.5
VU Machine Learning
3.04.5
VU Semantic Systems
2.03.0
VU Interdisciplinary Lecture Series on Data Science
1.01.0

3. Semester

TitlePrecon.HoursECTS
PR Interdisciplinary Project in Data Science
4.05.0

Without semester recommendation

TitlePrecon.HoursECTS
VO Cognitive Foundations of Visualization
3.0
VU Domain-Specific Lectures in Data Science
3.0
VU Data Acquisition and Survey Methods
2.03.0
2.03.0
VO Data Stewardship
2.03.0
VU Advanced Cryptography
4.06.0
VU Communicating Data
2.03.0
VU Data Center Operations
2.03.0
UE Data Stewardship
2.03.0
VU Computational Social Science
2.03.0
VU Digital Humanism
2.03.0
VU Internet Security
2.03.0
VU Organizational Aspects of IT-Security
2.03.0
VU Software Security
2.03.0
VU Sustainability in Computer Science
2.03.0
VU Systems and Applications Security
4.06.0
VU User Research Methods
2.03.0
PR User Research Methods
2.03.0
VU Recommender Systems
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
VU Advanced Reinforcement Learning
3.0
VU AI/ML in the Era of Climate Change
3.04.0
VU AKNUM Reinforcement Learning
4.06.0
VU Algorithmic Social Choice
4.06.0
VU Applied Deep Learning
2.03.0
VO Bayesian Statistics
2.03.0
UE Bayesian Statistics
1.02.0
VU Bayesian Statistics
3.05.0
VU Business Intelligence
4.06.0
VU Crypto Asset Analytics
2.03.0
VU Deep Learning for Visual Computing
2.03.0
VU General Regression Models
3.05.0
VO General Regression Models
2.03.0
UE General Regression Models
1.02.0
VU Generative AI
2.03.0
VU Intelligent Audio and Music Analysis
3.04.5
VO Introduction to Statistical Inference
3.04.5
UE Introduction to Statistical Inference
1.02.0
VU Machine Learning for Visual Computing
3.04.5
VU Mathematical Programming
2.03.0
VU Modeling and Simulation
2.03.0
VU Modelling and Simulation in Health Technology Assessment
2.03.0
VO Multivariate Statistics
3.04.5
107.388 VO 2024W
3.04.5
UE Multivariate Statistics
1.01.5
107.391 UE 2024W
1.01.5
VU Probabilistic Programming and AI
4.06.0
VU Problem Solving and Search in Artificial Intelligence
2.03.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
VU Self-Organizing Systems
3.04.5
VU Similarity Modeling 1
2.03.0
VU Similarity Modeling 2
2.03.0
VU Social Network Analysis
2.03.0
VU Theoretical Foundations and Research Topics in Machine Learning
2.03.0
VU Basics of Parallel Computing
2.03.0
VU Efficient Programs
2.03.0
VU Algorithmic Geometry
3.04.5
VU Algorithmics
4.06.0
VO Analysis 2
3.03.0
UE Analysis 2
2.04.5
VU Approximation Algorithms
2.03.0
VU Complexity Analysis
2.03.0
VU Database Theory
2.03.0
VU Fixed-Parameter Algorithms and Complexity
3.04.5
VU Frontiers of Algorithms and Complexity
2.03.0
VU GPU Architectures and Computing
4.06.0
VU Graph Drawing Algorithms
3.04.5
VU Hands-On Cloud Native
4.06.0
VU Heuristic Optimization Techniques
3.04.5
VU High Performance Computing
3.04.5
VO Nonlinear Optimization
2.03.0
105.147 VO 2024W
2.03.0
UE Nonlinear Optimization
1.02.0
105.652 UE 2024W
1.02.0
VU Optimization in Transport and Logistics
2.03.0
VU Structural Decompositions and Algorithms
2.03.0
VU Advanced Multiprocessor Programming
3.04.5
VU Randomized Algorithms
2.03.0
VU Advanced Information Retrieval
2.03.0
UE Design and Evaluation of Visualisations
3.0
VO Deductive Databases
2.03.0
VU Description Logics and Ontologies
2.03.0
VU Document Analysis
2.03.0
UE Information Visualization
1.01.5
VU KBS for Business Informatics
4.06.0
VU Knowledge-based Systems
4.06.0
VU Knowledge Graphs
2.03.0
VO Medical Image Processing
2.03.0
UE Medical Image Processing
2.03.0
VU Natural Language Processing and Information Extraction
2.03.0
VO Processing of Declarative Knowledge
2.03.0
VU Research Topics in Natural Language Processing
2.03.0
VU Real-time Visualization
2.03.0
VU Semantic Technologies
2.03.0
VU Semi-Automatic Information and Knowledge Systems
2.03.0
VU Visual Data Science
2.03.0
VU Visualization 2
3.04.5
VU Technical English Presentation A
3.0
VU Technical English Communication A
3.0
VU Technical English Presentation B
3.0
VU Technical English Communication B
3.0
VO European Union - Institutions, Policies and Future Challenges
2.0
1.52.0
VU Global Strategy, Markets and Politics
2.03.0
SE Science and the quest for knowledge
1.01.0
VO Creativity Engineering
3.0
VU Searching prior art based on patent applications
2.03.0
VU Collaboration and Co-Creation
2.03.0
VU E&I Garage - Business Model Development
3.05.0
SE Coaching als Führungsinstrument 1
2.03.0
SE Coaching als Führungsinstrument 2
2.03.0
SE Didaktik in der Informatik
2.03.0
VO EDV-Vertragsrecht
1.01.5
VO Einführung in die Wissenschaftstheorie I
2.03.0
VO Einführung in Technik und Gesellschaft
2.03.0
SE Folgenabschätzung von Informationstechnologien
2.03.0
VU Forschungsmethoden
2.03.0
VO Frauen in Naturwissenschaft und Technik
2.03.0
SE Gruppendynamik
3.03.0
PR IT-Projekte für Jugendliche
3.0
UE IT Projekte für Jugendliche
1.5
VU Kommunikation und Moderation
2.03.0
SE Kommunikation und Rhetorik
2.03.0
SE Kommunikation und Rhetorik 2
2.03.0
SE Kommunikationstechnik
1.01.5
VU Kooperatives Arbeiten
2.03.0
VU Präsentation und Moderation
2.03.0
VO Präsentation, Moderation und Mediation
1.01.5
UE Präsentation, Moderation und Mediation
2.02.0
VU Präsentations- und Verhandlungstechnik
2.03.0
SE Privatissimum aus Fachdidaktik Informatik
4.04.0
VU Rhetorik, Körpersprache, Argumentationstraining
2.03.0
SE Scientific Presentation and Communication
2.03.0
VU Softskills für TechnikerInnen
2.03.0
VU Techniksoziologie und Technikpsychologie
2.03.0
VO Theorie und Praxis der Gruppenarbeit
2.03.0
SE VWA Mentoring I
2.02.0
SE VWA Mentoring II
2.02.0
VO Zwischen Karriere und Barriere
2.03.0
SE Seminar für Diplomand_innen
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