066 645 Master programme Data Science

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

2021W-2022S (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 2022S
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 2022S
3.04.5
184.702 VU 2021W
3.04.5
Modul BDHPC/FD - Big Data and High Performance Computing - Foundations
9.0
VU Datenbanksysteme Vertiefung
4.06.0
184.780 VU 2022S
4.06.0
VU Data-intensive Computing
2.03.0
194.048 VU 2022S
2.03.0
Modul VAST/FD - Visual Analytics and Semantic Technologies - Foundations
9.0
VO Cognitive Foundations of Visualization
2.03.0
2.03.0
VO Information Visualization
2.03.0
186.141 VO 2022S
2.03.0
188.305 VO 2021W
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
PR Interdisciplinary Project in Data Science
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 2022S
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 Systems and Applications Security
4.06.0
4.06.0
VU Communicating Data
2.03.0
VU Data Center Operations
2.03.0
VU Digital Humanism
2.03.0
194.072 VU 2021W
2.03.0
UE Data Stewardship
2.03.0
194.045 UE 2022S
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 User Research Methods
2.03.0
193.055 VU 2021W
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 2022S
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
VU AI/ML in the Era of Climate Change
3.04.0
VU AKNUM Reinforcement Learning
4.06.0
101.789 VU 2022S
4.06.0
VU Algorithmic Social Choice
4.06.0
192.118 VU 2022S
4.06.0
VU Applied Deep Learning
2.03.0
194.077 VU 2021W
2.03.0
VO Bayesian Statistics
2.03.0
107.395 VO 2022S
2.03.0
VU Crypto Asset Analytics
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Courses require the completion of the introductory and orientation phase
2.03.0
192.080 VU 2022S
2.03.0
UE Bayesian Statistics
1.02.0
107.397 UE 2022S
1.02.0
VU Data Analysis
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Courses require the completion of the introductory and orientation phase
2.03.0
107.A03 VU 2022S
2.03.0
VU Business Intelligence
4.06.0
188.429 VU 2021W
4.06.0
VU Deep Learning for Visual Computing
2.03.0
2.03.0
VU General Regression Models
3.05.0
105.725 VU 2022S
3.05.0
VO General Regression Models
2.03.0
UE General Regression Models
1.02.0
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 2022S
2.03.0
VU Modeling and Simulation
2.03.0
194.076 VU 2021W
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 2021W
3.04.5
UE Multivariate Statistics
1.01.5
107.391 UE 2021W
1.01.5
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 2021W
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 2021W
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 2022S
2.03.0
VU Energy-efficient Distributed Systems
2.03.0
2.03.0
Modul BDHPC/EX - Big Data and High Performance Computing - Extension
es dürfen maximal 18 ECTS absolviert werden
VU Algorithmics
4.06.0
186.814 VU 2021W
4.06.0
VU Algorithmic Geometry
2.03.0
186.122 VU 2021W
2.03.0
VU Optimization in Transport and Logistics
2.03.0
VU Graph Drawing Algorithms
2.03.0
192.053 VU 2022S
2.03.0
VO Analysis 2
3.03.0
104.267 VO 2022S
3.03.0
UE Analysis 2
2.04.5
104.268 UE 2022S
2.04.5
VU Approximation Algorithms
2.03.0
186.102 VU 2021W
2.03.0
VU Fixed-Parameter Algorithms and Complexity
2.03.0
2.03.0
VU Complexity Analysis
2.03.0
VU Effiziente Programme
2.03.0
185.190 VU 2021W
2.03.0
VU Database Theory
2.03.0
181.140 VU 2021W
2.03.0
VU GPU Architectures and Computing
4.06.0
4.06.0
VU High Performance Computing
3.04.5
184.725 VU 2021W
3.04.5
VU Heuristic Optimization Techniques
2.03.0
2.03.0
VO Nonlinear Optimization
2.03.0
105.147 VO 2021W
2.03.0
UE Nonlinear Optimization
1.02.0
105.652 UE 2021W
1.02.0
VU Structural Decompositions and Algorithms
2.03.0
2.03.0
VU Advanced Multiprocessor Programming
3.04.5
3.04.5
Prüfungsfach Visual Analytics and Semantic Technologies - Core and Extension
Modul VAST/CO - Visual Analytics and Semantic Technologies - Core
6.0
UE Design and Evaluation of Visualisations
2.03.0
2.03.0
2.03.0
VU Advanced Information Retrieval
2.03.0
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 2021W
2.03.0
VU Description Logics and Ontologies
2.03.0
VU Natural Language Processing and Information Extraction
2.03.0
2.03.0
UE Information Visualization
1.01.5
186.143 UE 2022S
1.01.5
188.308 UE 2021W
1.01.5
VU KBS for Business Informatics
4.06.0
VU Knowledge-based Systems
4.06.0
184.730 VU 2022S
4.06.0
VU Knowledge Graphs
2.03.0
192.116 VU 2022S
2.03.0
VO Medical Image Processing
2.03.0
183.269 VO 2022S
2.03.0
UE Medical Image Processing
2.03.0
183.630 UE 2022S
2.03.0
VO Processing of Declarative Knowledge
2.03.0
2.03.0
VU Real-time Visualization
2.03.0
186.191 VU 2021W
2.03.0
VU Semantic Technologies
2.03.0
184.729 VU 2021W
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 2021W
2.03.0
VU Visualization 2
3.04.5
186.833 VU 2022S
3.04.5
Prüfungsfach Freie Wahlfächer und Transferable Skills
9.0
Modul Freie Wahlfächer und Transferable Skills
SE Coaching als Führungsinstrument 2
2.03.0
2.03.0
SE Critical Algorithm Studies
2.03.0
SE Didaktik in der Informatik
2.03.0
2.03.0
2.03.0
194.042 SE 2022S
2.03.0
194.042 SE 2021W
2.03.0
VO EDV-Vertragsrecht
1.01.5
280.239 VO 2022S
1.01.5
280.239 VO 2021W
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 2021W
2.03.0
194.057 VU 2022S
2.03.0
VO Frauen in Naturwissenschaft und Technik
2.03.0
VU Kommunikation und Moderation
2.03.0
187.236 VU 2022S
2.03.0
187.236 VU 2021W
2.03.0
SE Kommunikationstechnik
1.01.5
184.004 SE 2022S
1.01.5
184.004 SE 2021W
1.01.5
VU Kooperatives Arbeiten
2.03.0
VU Präsentation und Moderation
2.03.0
185.A62 VU 2021W
2.03.0
SE Privatissimum aus Fachdidaktik Informatik
4.04.0
4.04.0
VU Softskills für TechnikerInnen
2.03.0
181.208 VU 2022S
2.03.0
181.208 VU 2021W
2.03.0
VU Techniksoziologie und Technikpsychologie
2.03.0
187.329 VU 2022S
2.03.0
VO Theorie und Praxis der Gruppenarbeit
2.03.0
SE Wissenschaftliche Methodik
2.03.0
Catalog Elective Courses - Computer Science
Freie Wahlfächer
VU Pilots in Mobile Interaction: User-centered Interaction Research and Evaluation
2.03.0
2.03.0
VU Robotik für RoboCup
6.0
KO Reflections on ICTs and Society
2.02.0
VU Science of Information 1: Transdisciplinary Foundations of Informatics
2.03.0
PR Practical course in IT-Security
4.06.0
SE Formal Semantics of natural languages
2.03.0
VO Selected Topics of Computer Engineering
2.03.0
2.03.0
SE Seminar for Master Students
2.02.0
SE Computer Vision Seminar for Master students
2.02.0
2.02.0
VU Engineering Software, Systems and IT-Infrastructure using ID for Objects and Devices: RFID, Smartcards, NFC and Mobile Phones
2.03.0
VU Advanced Services Engineering
2.03.0
SE Research Seminar for Master Students
2.03.0
SE Research Seminar for Master Students
2.03.0
2.03.0
2.03.0
VO Finanzmärkte, Finanzintermediation und Kapitalanlage
2.53.5
2.53.5
VU Methodical, industrial Software-Engineering using the Haskell functional language
2.03.0
2.03.0
VU IT Governance
2.03.0
188.978 VU 2022S
2.03.0
VU Current Trends in Computer Science
1.01.5
1.01.5
1.01.5
VU Strategy Game Programming
2.03.0
188.981 VU 2021W
2.03.0
2.03.0
VU Medienanalyse und Medienreflexion
2.03.0
EX Exkursion
2.03.0
VU Theoretical Computer Science and Logic for CI
4.06.0
SE Theory and Praxis for Evaluating Innovative User Interfaces
2.03.0
VU Brückenkurs Programmierung für Studienanfängerinnen
VU Mobile (App) Software Engineering
2.03.0
2.03.0
2.03.0
VU Runtime Verification
3.0
VU Runtime Verification
2.03.0
VU 2D and 3D Image Registration
2.03.0
SE Critical Algorithm Studies
2.03.0
VU Programming for first-year students
2.00.0
VU Python!
3.0
VU VU Metaheuristics and Hybrid Methods for Combinatorial Optimization
4.0
VU Metaheuristics and Hybrid Methods for Combinatorial Optimization
4.0
2.54.0
2.54.0
VU Applied Machine Learning in Cyber-Physical Systems
3.0
VU Humanities, Cultural Objects and Natural Sciences: Introduction to Methods in Computer Vison and Material Analysis for Paleography
2.03.0
VU Humanities, Cultural Assets, and Technical Sciences: Introduction to Computer Science and Material Analysis in Paleography
3.05.0
VU Introduction to Computer Algebra
2.03.0
PR Mobile (App) Prototyping and Evaluation
4.06.0
4.06.0
VU Introduction into Connected Car IT
2.03.0
VU Introduction into Connected Car IT
2.03.0
2.03.0
VU Advanded Aspects of Connected Car IT
2.03.0
2.03.0
PR Cases in Engineering Connected Car IT Systems
4.06.0
4.06.0
4.06.0
VU P2
4.0
VU Experiment Design for Data Science
2.03.0
2.03.0
VU Advanced Programming Paradigms
2.03.0
VU Data-oriented Programming Paradigm
2.03.0
VU Data-oriented Programming Paradigm
2.03.0
VO Data-oriented Programming Paradigms
2.03.0
2.03.0
VO Interdisciplinary Lecture Series on Data Science
1.01.5
IP Interdisciplinary Project in Data Science
4.06.0
UE Formal Methods in Computer Science
2.03.0
2.03.0
VU Cryptocurrencies
3.0
VU Datenmodellierung 2
2.03.0
184.790 VU 2021W
2.03.0
UE Einführung in Grundlagen des Programmierens für Studierende gemeinsam mit Geflüchteten
6.06.0
UE Introduction to the Fundamentals of Programming for Students and Refugees
6.06.0
6.06.0
6.06.0
VU Current Research in Augmented and Virtual Reality
2.03.0
UE Ruby on Rails Business Programming
2.03.0
2.03.0
PR Virtual Reality Maker Lab
6.06.0
188.520 PR 2022S
6.06.0
VU Visual Data Science
2.03.0
186.868 VU 2021W
2.03.0
VU Smart Contracts
2.03.0
UE IT-Projects for Youth associated LVA 187.A97
2.01.5
VU Formal Methods for Security and Privacy
4.06.0
VU Formal Methods for Security and Privacy
4.06.0
4.06.0
VO Bachelor with Honors - Courses
7.010.0
VU Tutorial on Introduction to Modern Cryptography
2.03.0
VU Deep Learning
4.0
PR Bachelor with Honors Internship Project
4.06.0
4.06.0
4.06.0
VU Summer/Winter School for Bachelor with Honors
2.03.0
2.03.0
2.03.0
VU State-of-the-art Engineering Project Management via Adjusted Pragmatic Tool-Sets
2.03.0
VU State-of-the-Art Engineering Project Management via Adjusted Pragmatic Tool-Sets
2.03.0
2.03.0
2.03.0
VU Crypto Asset Analytics
2.03.0
VU Crypto Asset Analytics
2.03.0
192.080 VU 2022S
2.03.0
VU Privacy Enhancing Cryptography
4.06.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
2.03.0
VU Epistemic Logic and Communication
2.03.0
VU Selected Topics of Digital Forensics I
2.03.0
2.03.0
VU Optimizing large IT Legacy - Learning from (still) operative Old IT-Systems and their (non-)replacement
2.03.0
VU Technical and Organizational Mechanisms of Payments
2.03.0
2.03.0
2.03.0
LU Mikrocomputer für Informatiker_innen
2.02.0
2.02.0
VU Mikrocomputer für Informatiker_innen
1.01.0
1.01.0
SE Capture The Flag
6.06.0
VU Applied Deep Learning
2.03.0
194.077 VU 2021W
2.03.0
PV TechTalks - Industrial Digital Technologies Status 2020
2.03.0
2.03.0
2.03.0
VU Hackathon: Kooperative Open Source Entwicklung mit Web of Needs
2.03.0
SE Unconventional Information Technology (U.IT), from Control Theory via Neural Networks to Quantum Algorithms and Cryptography: a Deep Dive
2.03.0
2.03.0
2.03.0
VU Runtime Verification
4.06.0
VU Runtime Verification
4.06.0
191.118 VU 2022S
4.06.0
VU Introduction to the Coq proof assistant
2.03.0
SE Seminar on Theoretical Aspects of Machine Learning Algorithms
2.03.0
2.03.0
2.03.0
VU Deep Learning
2.03.0
VU Advanced Deep Learning
2.03.0
VU Deep Learning
2.03.0
VO Deep Learning
2.03.0
VU Deep Learning
2.03.0
VO Deep Learning
2.03.0
SE Seminar in Formal Methods for Security and Privacy
3.0
UE Attacks and Defenses in Computer Security
6.0
UE Attacks and Defenses in Computer Security
4.06.0
4.06.0
UE ProgPro Together
2.00.0
VU Theoretical Foundations and Research Topics in Machine Learning
2.03.0
VU Theoretical Foundations and Research Topics in Machine Learning
4.06.0
PR Machine Learning Algorithms and Applications
4.06.0
VU Theoretical Foundations and Research Topics in Machine Learning
2.03.0
2.03.0
2.03.0
PR Machine Learning Algorithms and Applications
2.03.0
2.03.0
2.03.0
PR Machine Learning Theory Project
2.03.0
2.03.0
VU Symmetric Cryptography
4.06.0
192.124 VU 2021W
4.06.0
VU Sports-Technologies: Introduction to Engineering Systems for Metering, Training, and Platforms for Athletes
2.03.0
2.03.0
2.03.0
VU Free/Libre and Open Source Software
2.03.0
2.03.0
VU Sport-Technologien: Einführung in den Mess-, Trainings- und Plattform-Systembau für Athletinnen und Athleten
2.03.0
VU Competitive Programming for Programming Contests
2.03.0
2.03.0
VU Deontic Logic for Normative Reasoning
2.03.0
2.03.0
PR Presentation and Interaction in MOOCs
6.0
4.06.0
VU Mobile Security
2.03.0
194.120 VU 2022S
2.03.0
UE CTF Contests: Hands-On Experience of the IT Security Culture
4.06.0
4.06.0
SE CAIML seminar
1.01.5
Catalog Elective Courses - Economics and Computer Science
English TSK
Diplomarbeit und kommissionelle Gesamtprüfung
30.0
Thesis Diploma thesis
27.0
SE Seminar für Diplomand_innen
1.01.5
1.01.5
1.01.5
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.

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