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066 645 Master programme Data Science

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

2023W-2024S (2018U)

TitlePrecon.HoursECTS
Master programme Data Science https://informatics.tuwien.ac.at/master/data-science/
120.0
Prüfungsfach Data Science - Foundations
36.0
Modul FDS/FD - Fundamentals of Data Science - Foundations
9.0
VU Data-oriented Programming Paradigms
2.03.0
2.03.0
VU Experiment Design for Data Science
2.03.0
2.03.0
VU Statistical Computing
2.03.0
105.731 VU 2024S
2.03.0
Modul MLS/FD - Machine Learning and Statistics - Foundations
9.0
VU Advanced Methods for Regression and Classification
3.04.5
3.04.5
VU Machine Learning
3.04.5
184.702 VU 2024S
3.04.5
184.702 VU 2023W
3.04.5
Modul BDHPC/FD - Big Data and High Performance Computing - Foundations
9.0
VU Advanced Database Systems
4.06.0
184.780 VU 2024S
4.06.0
VU Data-intensive Computing
2.03.0
194.048 VU 2024S
2.03.0
Modul VAST/FD - Visual Analytics and Semantic Technologies - Foundations
9.0
VO Cognitive Foundations of Visualization
3.0
2.03.0
VO Information Visualization
2.03.0
186.141 VO 2024S
2.03.0
188.305 VO 2023W
2.03.0
VU Semantic Systems
2.03.0
2.03.0
Prüfungsfach Domain-Specific Aspects of Data Science
9.0
Modul DSA - Domain-Specific Aspects of Data Science
9.0
VU Interdisciplinary Lecture Series on Data Science
1.01.0
1.01.0
1.01.0
PR Interdisciplinary Project in Data Science
4.05.0
194.047 PR 2023W
4.05.0
4.05.0
4.05.0
VU Domain-Specific Lectures in Data Science
3.0
2.03.0
2.03.0
Prüfungsfach Fundamentals of Data Science - Core and Extension
Modul FDS/CO - Fundamentals of Data Science - Core
6.0
VU Data Acquisition and Survey Methods
2.03.0
2.03.0
VO Data Stewardship
2.03.0
194.044 VO 2024S
2.03.0
Modul FDS/EX - Fundamentals of Data Science - Extension
es dürfen maximal 18 ECTS absolviert werden
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
194.045 UE 2024S
2.03.0
VU Computational Social Science
2.03.0
VU Digital Humanism
2.03.0
194.072 VU 2023W
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
2.03.0
VU Systems and Applications Security
4.06.0
4.06.0
VU User Research Methods
2.03.0
193.055 VU 2023W
2.03.0
PR User Research Methods
2.03.0
2.03.0
Prüfungsfach Machine Learning and Statistics - Core and Extension
Modul MLS/CO - Machine Learning and Statistics - Core
6.0
VU Recommender Systems
2.03.0
194.035 VU 2024S
2.03.0
VU Statistical Simulation and Computer Intensive Methods
2.03.0
2.03.0
Modul MLS/EX - Machine Learning and Statistics - Extension
es dürfen maximal 18 ECTS absolviert werden
VU Advanced Learning Methods
2.03.0
VU Advanced Modeling and Simulation
2.03.0
2.03.0
VU Advanced Reinforcement Learning
3.0
2.03.0
VU AI/ML in the Era of Climate Change
3.04.0
3.04.0
VU AKNUM Reinforcement Learning
4.06.0
101.789 VU 2024S
4.06.0
194.163 VU 2024S
4.06.0
VU Algorithmic Social Choice
4.06.0
192.118 VU 2024S
4.06.0
VU Applied Deep Learning
2.03.0
194.077 VU 2023W
2.03.0
192.032 VU 2024S
2.03.0
VO Bayesian Statistics
2.03.0
UE Bayesian Statistics
1.02.0
VU Bayesian Statistics
3.05.0
105.173 VU 2023W
3.05.0
VU Business Intelligence
4.06.0
188.429 VU 2023W
4.06.0
VU Crypto Asset Analytics
2.03.0
192.080 VU 2024S
2.03.0
VU Deep Learning for Visual Computing
2.03.0
2.03.0
VU General Regression Models
3.05.0
105.725 VU 2024S
3.05.0
VO General Regression Models
2.03.0
UE General Regression Models
1.02.0
VU Generative AI
2.03.0
194.154 VU 2023W
2.03.0
VU Intelligent Audio and Music Analysis
3.04.5
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
3.04.5
VU Mathematical Programming
2.03.0
186.835 VU 2024S
2.03.0
VU Modeling and Simulation
2.03.0
194.076 VU 2023W
2.03.0
VU Modelling and Simulation in Health Technology Assessment
2.03.0
2.03.0
VO Multivariate Statistics
3.04.5
107.388 VO 2023W
3.04.5
UE Multivariate Statistics
1.01.5
107.391 UE 2023W
1.01.5
VU Probabilistic Programming and AI
4.06.0
4.06.0
VU Problem Solving and Search in Artificial Intelligence
2.03.0
2.03.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
2.03.0
VU Self-Organizing Systems
3.04.5
188.413 VU 2023W
3.04.5
VU Similarity Modeling 1
2.03.0
2.03.0
VU Similarity Modeling 2
2.03.0
2.03.0
VU Social Network Analysis
2.03.0
194.050 VU 2023W
2.03.0
VU Theoretical Foundations and Research Topics in Machine Learning
2.03.0
2.03.0
2.03.0
Prüfungsfach Big Data and High-Performance Computing - Core and Extension
Modul BDHPC/CO - Big Data and High Performance Computing - Core
6.0
VU Basics of Parallel Computing
2.03.0
191.114 VU 2024S
2.03.0
VU Efficient Programs
2.03.0
185.190 VU 2023W
2.03.0
Modul BDHPC/EX - Big Data and High Performance Computing - Extension
es dürfen maximal 18 ECTS absolviert werden
VU Algorithmic Geometry
3.04.5
192.133 VU 2023W
3.04.5
VU Algorithmics
4.06.0
186.814 VU 2023W
4.06.0
VO Analysis 2
3.03.0
104.267 VO 2024S
3.03.0
UE Analysis 2
2.04.5
104.268 UE 2024S
2.04.5
VU Approximation Algorithms
2.03.0
186.102 VU 2023W
2.03.0
VU Complexity Analysis
2.03.0
184.215 VU 2024S
2.03.0
VU Database Theory
2.03.0
181.140 VU 2023W
2.03.0
VU Fixed-Parameter Algorithms and Complexity
3.04.5
3.04.5
VU Frontiers of Algorithms and Complexity
2.03.0
VU GPU Architectures and Computing
4.06.0
4.06.0
VU Graph Drawing Algorithms
3.04.5
192.141 VU 2024S
3.04.5
VU Hands-On Cloud Native
4.06.0
194.131 VU 2024S
4.06.0
VU Heuristic Optimization Techniques
3.04.5
3.04.5
VU High Performance Computing
3.04.5
184.725 VU 2024S
3.04.5
184.725 VU 2023W
3.04.5
VO Nonlinear Optimization
2.03.0
105.147 VO 2023W
2.03.0
UE Nonlinear Optimization
1.02.0
105.652 UE 2023W
1.02.0
VU Optimization in Transport and Logistics
2.03.0
2.03.0
VU Structural Decompositions and Algorithms
2.03.0
2.03.0
VU Advanced Multiprocessor Programming
3.04.5
VU Randomized Algorithms
2.03.0
192.020 VU 2023W
2.03.0
Prüfungsfach Visual Analytics and Semantic Technologies - Core and Extension
Modul VAST/CO - Visual Analytics and Semantic Technologies - Core
6.0
VU Advanced Information Retrieval
2.03.0
2.03.0
UE Design and Evaluation of Visualisations
3.0
2.03.0
Modul VAST/EX - Visual Analytics and Semantic Technologies - Extension
es dürfen maximal 18 ECTS absolviert werden
VO Deductive Databases
2.03.0
192.067 VO 2023W
2.03.0
VU Description Logics and Ontologies
2.03.0
2.03.0
VU Document Analysis
2.03.0
183.628 VU 2024S
2.03.0
UE Information Visualization
1.01.5
186.143 UE 2024S
1.01.5
188.308 UE 2023W
1.01.5
VU KBS for Business Informatics
4.06.0
VU Knowledge-based Systems
4.06.0
184.730 VU 2024S
4.06.0
VU Knowledge Graphs
2.03.0
192.116 VU 2024S
2.03.0
VO Medical Image Processing
2.03.0
183.269 VO 2024S
2.03.0
UE Medical Image Processing
2.03.0
183.630 UE 2024S
2.03.0
VU Natural Language Processing and Information Extraction
2.03.0
2.03.0
VO Processing of Declarative Knowledge
2.03.0
2.03.0
VU Research Topics in Natural Language Processing
2.03.0
2.03.0
2.03.0
VU Real-time Visualization
2.03.0
186.191 VU 2023W
2.03.0
VU Semantic Technologies
2.03.0
184.729 VU 2024S
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 2023W
2.03.0
VU Visualization 2
3.04.5
186.833 VU 2023W
3.04.5
Prüfungsfach Freie Wahlfächer und Transferable Skills
9.0
English TSK
VU Technical English Presentation A
3.0
2.03.0
2.03.0
VU Technical English Communication A
3.0
2.03.0
2.03.0
VU Technical English Presentation B
3.0
2.03.0
2.03.0
VU Technical English Communication B
3.0
2.03.0
2.03.0
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
1.01.0
1.01.0
VO Creativity Engineering
3.0
015.100 VO 2023W
2.03.0
VU Searching prior art based on patent applications
2.03.0
2.03.0
VU Collaboration and Co-Creation
2.03.0
2.03.0
VU E&I Garage - Business Model Development
3.05.0
3.05.0
Modul Freie Wahlfächer und Transferable Skills
SE Coaching als Führungsinstrument 1
2.03.0
2.03.0
SE Coaching als Führungsinstrument 2
2.03.0
SE Didaktik in der Informatik
2.03.0
2.03.0
194.042 SE 2024S
2.03.0
194.042 SE 2023W
2.03.0
VO EDV-Vertragsrecht
1.01.5
280.239 VO 2024S
1.01.5
280.239 VO 2023W
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
185.A34 VU 2023W
2.03.0
194.057 VU 2024S
2.03.0
VO Frauen in Naturwissenschaft und Technik
2.03.0
SE Gruppendynamik
3.03.0
260.138 SE 2024S
3.03.0
PR IT-Projekte für Jugendliche
3.0
192.055 PR 2024S
2.03.0
192.055 PR 2023W
2.03.0
UE IT Projekte für Jugendliche
1.5
192.058 UE 2024S
1.01.5
192.058 UE 2023W
1.01.5
VU Kommunikation und Moderation
2.03.0
SE Kommunikation und Rhetorik
2.03.0
181.200 SE 2024S
2.03.0
181.200 SE 2023W
2.03.0
SE Kommunikation und Rhetorik 2
2.03.0
181.204 SE 2023W
2.03.0
SE Kommunikationstechnik
1.01.5
184.004 SE 2024S
1.01.5
184.004 SE 2023W
1.01.5
VU Kooperatives Arbeiten
2.03.0
VU Präsentation und Moderation
2.03.0
185.A62 VU 2023W
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
2.03.0
2.03.0
SE Privatissimum aus Fachdidaktik Informatik
4.04.0
VU Rhetorik, Körpersprache, Argumentationstraining
2.03.0
2.03.0
2.03.0
SE Scientific Presentation and Communication
2.03.0
2.03.0
VU Softskills für TechnikerInnen
2.03.0
181.208 VU 2024S
2.03.0
181.208 VU 2023W
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
194.159 SE 2024S
2.02.0
SE VWA Mentoring II
2.02.0
VO Zwischen Karriere und Barriere
2.03.0
2.03.0
Diplomarbeit und kommissionelle Gesamtprüfung
30.0
SE Seminar für Diplomand_innen
1.01.5
1.01.5
1.01.5
Thesis Diploma thesis
27.0
Final exam Final board exam
1.5
Responsible dean of academic affairs
For questions regarding the curriculum please contact the responsible dean of academic affairs.

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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