066 645 Master programme Data Science

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

2020W-2021S (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 2020W
Data-oriented Programming Paradigms
2.03.0
VU Experiment Design for Data Science
2.03.0
188.992 VU 2020W
Experiment Design for Data Science
2.03.0
VO 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
105.707 VU 2020W
Advanced Methods for Regression and Classification
3.04.5
VU Machine Learning
3.04.5
184.702 VU 2021S
Machine Learning
3.04.5
184.702 VU 2020W
Machine Learning
3.04.5
Modul BDHPC/FD - Big Data and High Performance Computing - Foundations
9.0
VU Data-intensive Computing
2.03.0
194.048 VU 2021S
Data-intensive Computing
2.03.0
VU Datenbanksysteme Vertiefung
4.06.0
184.780 VU 2021S
Advanced Database Systems
4.06.0
Modul VAST/FD - Visual Analytics and Semantic Technologies - Foundations
9.0
VO Cognitive Foundations of Visualization
2.03.0
193.060 VO 2020W
Cognitive Foundations of Visualization
2.03.0
VU Einführung in Semantic Systems
2.03.0
188.399 VU 2020W
Introduction to Semantic Systems
2.03.0
VO Information Visualization
2.03.0
186.141 VO 2021S
Information Visualization
2.03.0
188.305 VO 2020W
Information Visualization
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 2020W
Interdisciplinary Lecture Series on Data Science
1.01.0
PR Interdisciplinary Project in Data Science
4.05.0
194.047 PR 2020W
Interdisciplinary Project in Data Science
4.05.0
194.060 PR 2021S
Interdisciplinary Project in Data Science
4.05.0
VU Domain-Specific Lectures in Data Science
3.0
194.068 VU 2021S
Domain-Specific Lectures in Data Science
2.03.0
194.068 VU 2020W
Domain-Specific Lectures in Data Science
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
105.708 VU 2021S
Data Acquisition and Survey Methods
2.03.0
VO Data Stewardship
2.03.0
194.044 VO 2021S
Data Stewardship
2.03.0
Modul FDS/EX - Fundamentals of Data Science - Extension
es dürfen maximal 18 ECTS absolviert werden
VU Communicating Data
2.03.0
VU Data Center Operations
2.03.0
UE Data Stewardship
2.03.0
194.045 UE 2021S
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 Methoden
2.03.0
193.055 VU 2020W
User Research Methods
2.03.0
VU Advanced Cryptography
4.06.0
PR User Research Methoden
2.03.0
193.056 PR 2020W
User Research Methods Project
2.03.0
VU Systems and Applications Security
4.06.0
192.112 VU 2020W
Systems and Applications Security
4.06.0
VU Digital Humanism
2.03.0
194.072 VU 2020W
Digital Humanism
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 2021S
Recommender Systems
2.03.0
VU Statistical Simulation and Computer Intensive Methods
2.03.0
107.330 VU 2020W
Statistical Simulation and Computerintensive Methods
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
VO Bayesian Statistics
2.03.0
107.395 VO 2021S
Bayesian Statistics
2.03.0
UE Bayesian Statistics
1.02.0
107.397 UE 2021S
Bayesian Statistics
1.02.0
VU Business Intelligence
4.06.0
188.429 VU 2020W
Business Intelligence
4.06.0
VU General Regression Models
3.05.0
105.725 VU 2021S
General Regression Models
3.05.0
VU Intelligent Audio and Music Analysis
3.04.5
194.039 VU 2020W
Intelligent Audio and Music Analysis
3.04.5
VU Deep Learning for Visual Computing
2.03.0
183.663 VU 2021S
Deep Learning for Visual Computing
2.03.0
VO Multivariate Statistics
3.04.5
107.388 VO 2020W
Multivariate Statistics
3.04.5
VO General Regression Models
2.03.0
UE General Regression Models
1.02.0
VU AKNUM Reinforcement Learning
4.06.0
101.789 VU 2021S
AKNUM Reinforcement Learning
4.06.0
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
183.605 VU 2020W
Machine Learning for Visual Computing
3.04.5
VU Mathematical Programming
2.03.0
186.835 VU 2021S
Mathematical Programming
2.03.0
SE Seminar on Theoretical Aspects of Machine Learning Algorithms
2.03.0
194.102 SE 2021S
Seminar on Theoretical Aspects of Machine Learning Algorithms
2.03.0
194.102 SE 2020W
Seminar on Theoretical Aspects of Machine Learning Algorithms
2.03.0
VU Modeling and Simulation
2.03.0
194.076 VU 2020W
Modeling and Simulation
2.03.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
194.055 VU 2021S
Security, Privacy and Explainability in Machine Learning
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 2021S
Crypto Asset Analytics
2.03.0
UE Multivariate Statistics
1.01.5
107.391 UE 2020W
Multivariate Statistics
1.01.5
VU Problem Solving and Search in Artificial Intelligence
2.03.0
181.190 VU 2021S
Problem Solving and Search in Artificial Intelligence
2.03.0
VU Self-Organizing Systems
3.04.5
188.413 VU 2020W
Self-Organizing Systems
3.04.5
VU Similarity Modeling 1
2.03.0
188.501 VU 2020W
Similarity Modeling 1 - Computational Seeing and Hearing
2.03.0
VU Similarity Modeling 2
2.03.0
188.498 VU 2020W
Similarity Modeling 2 - Computational Seeing and Hearing
2.03.0
VU Social Network Analysis
2.03.0
194.050 VU 2020W
Social Network Analysis
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 2021S
Basics of Parallel Computing
2.03.0
VU Energy-efficient Distributed Systems
2.03.0
194.049 VU 2021S
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
186.814 VU 2020W
Algorithmics
4.06.0
VO Analysis 2
3.03.0
104.267 VO 2021S
Analysis 2
3.03.0
UE Analysis 2
2.04.5
104.268 UE 2021S
Analysis 2
2.04.5
VU Algorithmic Geometry
2.03.0
186.122 VU 2020W
Algorithmic Geometry
2.03.0
VU Approximation Algorithms
2.03.0
VU Complexity Analysis
2.03.0
VU Effiziente Programme
2.03.0
185.190 VU 2020W
Efficient Programs
2.03.0
VU Database Theory
2.03.0
181.140 VU 2020W
Database Theory
2.03.0
VU Fixe-Parameter Algorithms and Complexity
2.03.0
186.855 VU 2020W
Fixed-Parameter Algorithms and Complexity
2.03.0
VU GPU Architectures and Computing
4.06.0
182.731 VU 2021S
GPU Architectures and Computing
4.06.0
VU Graph Drawing Algorithms
2.03.0
192.053 VU 2021S
Graph Drawing Algorithms
2.03.0
VU High Performance Computing
3.04.5
184.725 VU 2020W
High Performance Computing
3.04.5
VU Heuristic Optimization Techniques
2.03.0
186.112 VU 2020W
Heuristic Optimization Techniques
2.03.0
VU Optimization in Transport and Logistics
2.03.0
VO Nichtlineare Optimierung
2.03.0
105.147 VO 2020W
Nonlinear Programming
2.03.0
VU Structural Decompositions and Algorithms
2.03.0
186.856 VU 2021S
Structural Decompositions and Algorithms
2.03.0
UE Nichtlineare Optimierung
1.02.0
105.652 UE 2020W
Nonlinear Programming
1.02.0
VU Weiterführende Multiprocessor Programmierung
3.04.5
184.726 VU 2021S
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
187.A46 UE 2021S
Design and Evaluation of visualisations
2.03.0
193.062 UE 2020W
Design and Evaluation of Visulisations
2.03.0
VU Advanced Information Retrieval
2.03.0
188.980 VU 2021S
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
192.067 VO 2020W
Deductive Databases
2.03.0
VU Description Logics and Ontologies
2.03.0
184.772 VU 2021S
Description Logics and Ontologies
2.03.0
VU Informationsdesign und Visualisierung
2.03.0
VU Natural Language Processing and Information Extraction
2.03.0
194.093 VU 2020W
Natural Language Processing and Information Extraction
2.03.0
UE Information Visualization
1.01.5
186.143 UE 2021S
Information Visualization
1.01.5
188.308 UE 2020W
Information Visualization
1.01.5
VU KBS for Business Informatics
4.06.0
VU Knowledge-based Systems
4.06.0
184.730 VU 2021S
Knowledge-based Systems
4.06.0
VO Processing of Declarative Knowledge
2.03.0
184.205 VO 2020W
Processing of Declarative Knowledge
2.03.0
VU Real-time Visualization
2.03.0
186.191 VU 2020W
Realtime Visualization
2.03.0
VU Semantic Technologies
2.03.0
184.729 VU 2020W
Semantic Technologies
2.03.0
VU Semi-Automatic Information and Knowledge Systems
2.03.0
188.387 VU 2021S
Semi-Automatic Information and Knowledge Systems
2.03.0
VU Visual Data Science
2.03.0
186.868 VU 2020W
Visual Data Science
2.03.0
VU Visualization 2
3.04.5
186.833 VU 2021S
Visualization 2
3.04.5
Prüfungsfach Freie Wahlfächer und Transferable Skills
9.0
Modul Fachübergreifende Qualifikationen
SE Coaching als Führungsinstrument 2
2.03.0
188.472 SE 2021S
Leadership Competency Coaching 2
2.03.0
SE Didaktik in der Informatik
2.03.0
184.228 SE 2021S
Didactics in computer science education
2.03.0
184.228 SE 2020W
Didactics in computer science education
2.03.0
194.042 SE 2021S
Informatics didactics
2.03.0
194.042 SE 2020W
Informatics didactics
2.03.0
VO EDV-Vertragsrecht
1.01.5
280.239 VO 2021S
Law of IT-Contracts
1.01.5
VO Einführung in Technik und Gesellschaft
2.03.0
SE Folgenabschätzung von Informationstechnologien
2.03.0
VU Forschungsmethoden
2.03.0
183.234 VU 2021S
Research methods
2.03.0
185.A34 VU 2020W
Research Methods
2.03.0
194.057 VU 2021S
Research Methods
2.03.0
VU Kommunikation und Moderation
2.03.0
187.236 VU 2021S
Communication and Moderation
2.03.0
187.236 VU 2020W
Communication and Moderation
2.03.0
SE Privatissimum aus Fachdidaktik Informatik
4.04.0
192.100 SE 2021S
Privatissimum on Didactics of Informatics
4.04.0
VU Kooperatives Arbeiten
2.03.0
PV Privatissimum aus Fachdidaktik Informatik
4.04.0
VU Präsentation und Moderation
2.03.0
185.A62 VU 2020W
Presentation and Moderation
2.03.0
SE Rechtsinformationsrecherche im Internet
2.03.0
EX Exkursion
2.03.0
SE Wissenschaftliche Methodik
2.03.0
185.A77 SE 2021S
Scientific Method
2.03.0
SE Scientific Presentation and Communication
2.03.0
VU Softskills für TechnikerInnen
2.03.0
181.208 VU 2021S
Softskills for technicians
2.03.0
181.208 VU 2020W
Softskills for technicians
2.03.0
SE Kommunikation und Rhetorik 2
2.03.0
181.204 SE 2020W
Communication and rhetoric 2
2.03.0
SE Critical Algorithm Studies
2.03.0
193.044 SE 2021S
Critical Algorithm Studies
2.03.0
VU Techniksoziologie und Technikpsychologie
2.03.0
187.329 VU 2021S
Sociology of Technology
2.03.0
VO Theorie und Praxis der Gruppenarbeit
2.03.0
Catalog Elective Courses - Computer Science
Freie Wahlfächer
VU Pilots in Mobile Interaction: User-centered Interaction Research and Evaluation
2.03.0
183.577 VU 2021S
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
183.618 VO 2021S
Selected Topics of Computer Engineering 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
183.621 SE 2021S
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
187.A87 SE 2021S
Research Seminar for Master Students
2.03.0
187.A87 SE 2020W
Research Seminar for Master Students
2.03.0
VO Finanzmärkte, Finanzintermediation und Kapitalanlage
2.53.5
105.636 VO 2021S
Financial Markets, Financial Intermediation and Capital Investment
2.53.5
VU Methodical, industrial Software-Engineering using the Haskell functional language
2.03.0
183.653 VU 2021S
Methodical, industrial Software-Engineering using the Haskell functional language
2.03.0
VU IT Governance
2.03.0
188.978 VU 2021S
IT Governance
2.03.0
VU Current Trends in Computer Science
1.01.5
195.072 VU 2021S
Current Trends in Computer Science
1.01.5
195.072 VU 2020W
Current Trends in Computer Science
1.01.5
VU Strategy Game Programming
2.03.0
188.981 VU 2020W
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
183.659 SE 2021S
Theory and Praxis for Evaluating Innovative User Interfaces
2.03.0
VU Brückenkurs Programmierung für Studienanfängerinnen
VU Mobile (App) Software Engineering
2.03.0
183.661 VU 2021S
Mobile (App) Software Engineering
2.03.0
183.661 VU 2020W
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
183.668 VU 2020W
Introduction into Connected Car IT
2.03.0
VU Advanded Aspects of Connected Car IT
2.03.0
183.669 VU 2021S
Advanced Aspects of Connected Car IT
2.03.0
PR Cases in Engineering Connected Car IT Systems
4.06.0
183.670 PR 2021S
Cases in Engineering Connected Car IT Systems
4.06.0
183.670 PR 2020W
Cases in Engineering Connected Car IT Systems
4.06.0
VU P2
4.0
VU Experiment Design for Data Science
2.03.0
188.992 VU 2020W
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 2020W
Data-oriented Programming Paradigms
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
185.A93 UE 2020W
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 2021S
Introduction to the Fundamentals of Programming for Students and Refugees
6.06.0
184.791 UE 2020W
Introduction to the Fundamentals of Programming for Students and Refugees
6.06.0
VU Current Research in Augmented and Virtual Reality
2.03.0
UE Ruby on Rails Business Programming
2.03.0
188.519 UE 2021S
Ruby on Rails Business Programming
2.03.0
PR Virtual Reality Maker Lab
6.06.0
188.520 PR 2021S
Virtual Reality Maker Lab
6.06.0
VU Visual Data Science
2.03.0
186.868 VU 2020W
Visual Data Science
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
192.059 VU 2021S
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
180.780 PR 2021S
Bachelor with Honors Internship Project
4.06.0
180.780 PR 2020W
Bachelor with Honors Internship Project
4.06.0
VU Summer/Winter School for Bachelor with Honors
2.03.0
180.781 VU 2021S
Summer/Winter School for Bachelor with Honors
2.03.0
180.781 VU 2020W
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
194.052 VU 2021S
State-of-the-Art Engineering Project Management via Adjusted Pragmatic Tool-Sets
2.03.0
194.052 VU 2020W
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
192.080 VU 2021S
Crypto Asset Analytics
2.03.0
VU Privacy Enhancing Cryptography
4.06.0
VU Security, Privacy and Explainability in Machine Learning
2.03.0
194.055 VU 2021S
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
194.065 VU 2021S
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
194.066 VU 2021S
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
194.067 VU 2021S
Technical and Organizational Mechanisms of Payments
2.03.0
194.067 VU 2020W
Technical and Organizational Mechanisms of Payments
2.03.0
LU Mikrocomputer für Informatiker_innen
2.02.0
384.174 LU 2021S
Mikrocomputer für Informatiker_innen
2.02.0
384.174 LU 2020W
Mikrocomputer für Informatiker_innen
2.02.0
VU Mikrocomputer für Informatiker_innen
1.01.0
384.176 VU 2020W
Mikrocomputer für Informatiker_innen
1.01.0
SE Capture The Flag
6.06.0
VU Applied Deep Learning
2.03.0
194.077 VU 2020W
Applied Deep Learning
2.03.0
PV TechTalks - Industrial Digital Technologies Status 2020
2.03.0
194.081 PV 2020W
TechTalks - Industrial Digital Technologies Status 2021
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
194.087 SE 2021S
Unconventional Information Technology (U.IT), from Control Theory via Neural Networks to Quantum Algorithms and Cryptography: a Deep Dive
2.03.0
194.087 SE 2020W
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
191.118 VU 2021S
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
194.102 SE 2021S
Seminar on Theoretical Aspects of Machine Learning Algorithms
2.03.0
194.102 SE 2020W
Seminar on Theoretical Aspects of Machine Learning Algorithms
2.03.0
VU Test
0.50.5
VU Deep Learning
2.03.0
VU Advanced Deep Learning
2.03.0
VU Deep Learning
75.03.0
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
192.111 UE 2020W
Attacks and Defenses in Computer Security
4.06.0
UE ProgPro Together
2.00.0
194.096 UE 2020W
ProgPro Together
2.00.0
VU Theoretical Foundations and Research Topics in Machine Learning
3.04.5
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
194.100 VU 2021S
Theoretical Foundations and Research Topics in Machine Learning
2.03.0
194.100 VU 2020W
Theoretical Foundations and Research Topics in Machine Learning
2.03.0
PR Machine Learning Algorithms and Applications
2.03.0
194.101 PR 2021S
Machine Learning Algorithms and Applications
2.03.0
194.101 PR 2020W
Machine Learning Algorithms and Applications
2.03.0
Catalog Elective Courses - Economics and Computer Science
Diplomarbeit und kommissionelle Gesamtprüfung
30.0
Final exam Final board exam
3.0
Thesis Diploma thesis
27.0
SE Seminar für Diplomand_innen
1.01.5
180.772 SE 2021S
Seminar for Master Students in Data Science
1.01.5
180.772 SE 2020W
Seminar for Master Students in Data Science
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