Universität Wien

SAD Specialisation in Areas of Data Science (34 ECTS)

Students will be introduced to the state of the art in the field of the informatics and/or mathematical and/or statistical fundamentals of Data Science and will gain in-depth competence in specific fields of application, e.g. human sciences, language processing, finance, medicine, physics or computational science.

Students choose courses totalling 34 ECTS in the fields of Foundations and Applications. At least 12 ECTS must be completed in each of these areas.

If courses other than those listed below are chosen, they must be approved in advance (!) by the Studienprogrammleitung.

Please note:
(1) Participation in courses from other studies is subject to availability.
(2) Possible participation requirements (prerequisites) from other curricula apply.
(3) Not all courses are offered in English. Please note the information on the language of instruction in the course description (Details).

040721 UK [en] (ON-SITE) Selected Topics in Statistics (MA)
040770 UK [de en] (ON-SITE) Probabiltiy Theory 1 (MA)
040772 UK [en] (ON-SITE) Complex Statistical Methods (MA)
052101 VU [en] Numerical Algorithms
052111 VU [en] Advanced Algorithms
052311 VU [en] Data Mining
052800 VU [en] Parallel Computing
250063 VO [en] (ON-SITE) Nonlinear optimization
250068 VO [en] (ON-SITE) Stochastic processes
250107 PS [en] (ON-SITE) Stochastic Processes
040045 KU [en] (ON-SITE) Econometrics in Finance (MA)
040215 KU [en] (ON-SITE) Supply Chain Management (MA)
040626 KU (REMOTE) Game Theory (MA)
040775 UK (ON-SITE) Biometrics 2 (MA)
052315 VU [en] (REMOTE) Natural Language Processing
052511 VU [en] Cloud Computing
180147 SE [en] (ON-SITE) Introduction to Cognitive Science I
180160 SE [en] (MIXED) New Trends in Cognitive Science - The predictive coding approach to mind/cognition
180161 SE [en] (MIXED) MEi:CogSci Journal Club - Causal inference in cognitive neuroscience (neuroimaging and stimulation)
340320 VO [en] Machine translation

Last modified: Fr 13.01.2023 01:01