066 645 Master programme Data Science

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

2022W-2023S (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
188.995 VU 2022W
Data-oriented Programming Paradigms   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
VU Experiment Design for Data Science
2.03.0
VU Statistical Computing
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 2023S
3.04.5
184.702 VU 2022W
Machine Learning   Distance Learning
Distance Learning: Course is held predominantly online
3.04.5
Modul BDHPC/FD - Big Data and High Performance Computing - Foundations
9.0
VU Datenbanksysteme Vertiefung
4.06.0
VU Data-intensive Computing
2.03.0
Modul VAST/FD - Visual Analytics and Semantic Technologies - Foundations
9.0
VO Cognitive Foundations of Visualization
2.03.0
VO Information Visualization
2.03.0
VU Semantic Systems
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
194.046 VU 2022W
Interdisciplinary Lecture Series on Data Science   Distance Learning
Distance Learning: Course is held predominantly online
1.01.0
PR Interdisciplinary Project in Data Science
4.05.0
4.05.0
VU Domain-Specific Lectures in Data Science
3.0
194.068 VU 2022W
Domain-Specific Lectures in Data Science   Distance Learning
Distance Learning: Course is held predominantly online
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
VO Data Stewardship
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
VU Communicating Data
2.03.0
VU Data Center Operations
2.03.0
VU Digital Humanism
2.03.0
UE Data Stewardship
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 2022W
User Research Methods   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
PR User Research Methods
2.03.0
193.056 PR 2022W
User Research Methods Project   Distance Learning
Distance Learning: Course is held predominantly online
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
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
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 Business Intelligence
4.06.0
VU Crypto Asset Analytics
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Courses require the completion of the introductory and orientation phase
2.03.0
VU Data Analysis
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Courses require the completion of the introductory and orientation phase
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 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
194.076 VU 2022W
2.03.0
VU Modelling and Simulation in Health Technology Assessment
2.03.0
194.094 VU 2022W
Modelling and Simulation in Health Technology Assessment   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
VO Multivariate Statistics
3.04.5
107.388 VO 2022W
3.04.5
UE Multivariate Statistics
1.01.5
107.391 UE 2022W
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
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
194.050 VU 2022W
Social Network Analysis   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
VU Theoretical Foundations and Research Topics in Machine Learning
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
VU Energy-efficient Distributed Systems
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
VU Algorithmic Geometry
3.04.5
VU Optimization in Transport and Logistics
2.03.0
VU Graph Drawing Algorithms
2.03.0
VU Fixed-Parameter Algorithms and Complexity
3.04.5
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
181.140 VU 2022W
2.03.0
VU Effiziente Programme
2.03.0
185.190 VU 2022W
2.03.0
VU GPU Architectures and Computing
4.06.0
VU High Performance Computing
3.04.5
VU Heuristic Optimization Techniques
3.04.5
3.04.5
VO Nonlinear Optimization
2.03.0
105.147 VO 2022W
2.03.0
UE Nonlinear Optimization
1.02.0
105.652 UE 2022W
1.02.0
VU Structural Decompositions and Algorithms
2.03.0
VU Advanced Multiprocessor Programming
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
VU Advanced Information Retrieval
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
VU Description Logics and Ontologies
2.03.0
VU Natural Language Processing and Information Extraction
2.03.0
194.093 VU 2022W
Natural Language Processing and Information Extraction   Distance Learning
Distance Learning: Course is held predominantly online
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
VO Processing of Declarative Knowledge
2.03.0
VU Real-time Visualization
2.03.0
186.191 VU 2022W
Realtime Visualization   Distance Learning
Distance Learning: Course is held predominantly online
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
186.868 VU 2022W
Visual Data Science   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
VU Visualization 2
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
SE Critical Algorithm Studies
2.03.0
SE Didaktik in der Informatik
2.03.0
194.042 SE 2022W
2.03.0
VO EDV-Vertragsrecht
1.01.5
280.239 VO 2022W
Law of IT-Contracts   Distance Learning
Distance Learning: Course is held predominantly online
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 2022W
Research Methods   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
VO Frauen in Naturwissenschaft und Technik
2.03.0
VU Kommunikation und Moderation
2.03.0
SE Kommunikationstechnik
1.01.5
VU Kooperatives Arbeiten
2.03.0
VU Präsentation und Moderation
2.03.0
185.A62 VU 2022W
Presentation and Moderation   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
SE Privatissimum aus Fachdidaktik Informatik
4.04.0
192.100 SE 2023S
Privatissimum on Didactics of Informatics   Distance Learning
Distance Learning: Course is held predominantly online
4.04.0
VU Softskills für TechnikerInnen
2.03.0
181.208 VU 2023S
2.03.0
181.208 VU 2022W
Softskills for technicians   Distance Learning
Distance Learning: Course is held predominantly online
2.03.0
VU Techniksoziologie und Technikpsychologie
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
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
SE Seminar for Master Students
2.02.0
SE Computer Vision Seminar for Master students
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
VO Finanzmärkte, Finanzintermediation und Kapitalanlage
2.53.5
VU Methodical, industrial Software-Engineering using the Haskell functional language
2.03.0
VU IT Governance
2.03.0
VU Current Trends in Computer Science
1.01.5
VU Strategy Game Programming
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
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
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
VU Introduction into Connected Car IT
2.03.0
VU Introduction into Connected Car IT
2.03.0
VU Advanded Aspects of Connected Car IT
2.03.0
PR Cases in Engineering Connected Car IT Systems
4.06.0
VU P2
4.0
VU Experiment Design for Data Science
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
188.995 VU 2022W
Data-oriented Programming Paradigms   Distance Learning
Distance Learning: Course is held predominantly online
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
VU Cryptocurrencies
3.0
VU Datenmodellierung 2
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
184.791 UE 2022W
Introduction to the Fundamentals of Programming for Students and Refugees   Distance Learning
Distance Learning: Course is held predominantly online
6.06.0
VU Current Research in Augmented and Virtual Reality
2.03.0
UE Ruby on Rails Business Programming
2.03.0
PR Virtual Reality Maker Lab
6.06.0
VU Visual Data Science
2.03.0
186.868 VU 2022W
Visual Data Science   Distance Learning
Distance Learning: Course is held predominantly online
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
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
VU Summer/Winter School for Bachelor with Honors
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
VU Crypto Asset Analytics
2.03.0
VU Crypto Asset Analytics
2.03.0
VU Privacy Enhancing Cryptography
4.06.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
VU Epistemic Logic and Communication
2.03.0
VU Selected Topics of Digital Forensics I
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
LU Mikrocomputer für Informatiker_innen
2.02.0
VU Mikrocomputer für Informatiker_innen
1.01.0
SE Capture The Flag
6.06.0
VU Applied Deep Learning
2.03.0
PV TechTalks - Industrial Digital Technologies Status 2020
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
VU Runtime Verification
4.06.0
VU Runtime Verification
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
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
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
PR Machine Learning Algorithms and Applications
2.03.0
PR Machine Learning Theory Project
2.03.0
VU Symmetric Cryptography
4.06.0
VU Sports-Technologies: Introduction to Engineering Systems for Metering, Training, and Platforms for Athletes
2.03.0
VU Free/Libre and Open Source Software
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
VU Deontic Logic for Normative Reasoning
2.03.0
PR Presentation and Interaction in MOOCs
6.0
VU Mobile Security
2.03.0
UE CTF Contests: Hands-On Experience of the IT Security Culture
4.06.0
SE CAIML seminar
1.01.5
UE Augmented Software Engineering Skills for Data Scientists
2.03.0
VU Programming in Python
1.5
VU Programming Principles of Mobile Robotics
4.06.0
Catalog Elective Courses - Economics and Computer Science
English TSK
Diplomarbeit und kommissionelle Gesamtprüfung
30.0
Thesis Diploma thesis
27.0
Final exam Final board exam
1.5
SE Seminar für Diplomand_innen
1.01.5
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
Distance Learning
Distance Learning: Course is held predominantly online