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).

Foundations

040721 UK [ en ] ( ON-SITE ) Selected Topics in Statistics (MA)
040723 UK ( MIXED ) Financial and Insurance Mathematics (MA)
040770 UK [ de en ] ( ON-SITE ) Probabiltiy Theory 1 (MA)
040771 UK ( ON-SITE ) Case Studies in Statistics (MA)
040772 UK [ en ] ( ON-SITE ) Complex Statistical Methods (MA)
052100 VU [ en ] Algorithms and Data Structures 2
052101 VU [ en ] Numerical Algorithms
052111 VU [ en ] Advanced Algorithms
052112 VU [ en ] Numerical High Performance Algorithms
052311 VU [ en ] Data Mining
052316 VU [ en ] Deep Learning for Natural Language Processing
052400 VU [ en ] Information Management & Systems Engineering
052600 VU [ en ] Signal and Image Processing
052617 VU [ en ] Image Processing and Image Analysis
052800 VU [ en ] Parallel Computing
250042 PS [ en ] ( ON-SITE ) Quantum Information, Quantum Computing, and Quantum Algorithms
250063 VO [ en ] ( ON-SITE ) Nonlinear optimization
250068 VO [ en ] ( ON-SITE ) Stochastic processes
250078 VO [ en ] ( ON-SITE ) Quantum Information, Quantum Computing, and Quantum Algorithms
250085 VO [ en ] ( ON-SITE ) Tensor methods for data science and scientific computing
250107 PS [ en ] ( ON-SITE ) Stochastic Processes
250116 VO [ en ] ( MIXED ) Introduction to complex network analysis
250117 PS [ en ] ( MIXED ) Introduction to complex network analysis

Applications

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
052317 VU [ en ] Neuroinformatics: Machine Learning for Neuronal Data Analysis
052412 VU [ en ] Business Intelligence II
052511 VU [ en ] Cloud Computing
052515 VU [ en ] Patterns and Artificial Intelligence for Cloud and Cloud-Edge Continuum
053530 VU [ de en ] Statistical methods in bioinformatics
070263 UE [ en ] Reading course Digital Humanities - Theory and Concepts in the Digital Humanities
180054 VO [ en ] Cognitive Science - Introduction and Basic Concepts
180147 SE [ en ] ( ON-SITE ) Introduction to Cognitive Science I
180150 VO [ en ] ( ON-SITE ) MEi:CogSci Cognitive Science Lecture Series
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)
300311 VO ( ON-SITE ) Bioinformatics for the analysis of microbial genomes, metagenomes and metatranscriptomes
301060 UE [ en ] ( ON-SITE ) Practical course on bioinformatics of microbial genomes and metagenomes
340320 VO [ en ] Machine translation

Last modified: Fr 13.01.2023 01:01