Universität Wien

Master Informatik (921 [1]) - Data Science

Grundlagen (12 ECTS)

Modul PAP Parallel Architectures and Programming Models (6 ECTS)

Modul ASE Advanced Software Engineering (6 ECTS)

Praktika (18 ECTS)

Modul P1 Praktikum 1 (6 ECTS)

Modul P2 Praktikum 2 (12 ECTS)

Wissenschaftliches Arbeiten (6 ECTS)

Modul MSE Wissenschaftliches Arbeiten (6 ECTS)

Parallel Computing (6 ECTS)

Modul PC Parallel Computing (6 ECTS)

Modul CC Cloud Computing (6 ECTS)

Modul DPA Distributed and Parallel Algorithms (6 ECTS)

Modul DSE Distributed Systems Engineering (6 ECTS)

Modul HPC High Performance Computing (6 ECTS)

Modul POP Program Optimisations and Runtime Systems (6 ECTS)

Modul SDM Scientific Data Management (6 ECTS)

Modul AT-PC Advanced Topics in Parallel Computing (6 ECTS)

Algorithms (12 ECTS)

Modul CNA Combinatorial and Numerical Algorithms (6 ECTS)

Modul AAL Advanced Algorithms (6 ECTS)

Modul DPA Distributed and Parallel Algorithms (6 ECTS)

Modul HPA Numerical High Performance Algorithms (6 ECTS)

Modul STL Software Tools and Libraries for Scientific Computing (6 ECTS)

Modul AT-AL Advanced Topics in Algorithms (6 ECTS)

Data Analysis (24 ECTS)

Modul FDA Foundations of Data Analysis (6 ECTS)

Modul CO Computational Optimisation (6 ECTS)

Modul DM Data Mining (6 ECTS)

Modul NLP Natural Language Processing (6 ECTS)

Modul VIS Visualisation and Visual Data Analysis (6 ECTS)

Modul AT-DA Advanced Topics in Data Analysis (6 ECTS)

Anwendungsfach Data Science (12 ECTS)

Modul DSA Anwendungsfach Data Science (12 ECTS)

Letzte Änderung: Fr 14.01.2022 01:03