Informatie over MSc Computing Science: Data Science and Systems Complexity

Hieronder staan het programma en de vakomschrijvingen van MSc Computing Science: Data Science and Systems Complexity Klik op de naam van een vak in een schema om naar de omschrijving te gaan.

» Jaar 1 (Compulsory course units)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtWMCS16002Introduction to Data ScienceEngels5
 verplichtINMMS-08Modelling and SimulationEngels5
 verplichtINMWCC-12Web and Cloud ComputingEngels5
semester I bverplichtWMCS16001Information SystemsEngels5
 verplichtWMCS15001Neural Networks and Computational IntelligenceEngels5
 verplichtINMPR-08Pattern RecognitionEngels5
semester II averplichtWMCS16003Scalable ComputingEngels5
 verplichtINMSV-08Scientific VisualizationEngels5
 verplichtINMCOL-08Student Colloquium (Computing Science)Engels5
semester II bverplichtINMSTAG-08In-company or Research Internship (CS)Engels15
» Jaar 2 (Compulsory course units)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtWMCS19000Advanced Topics in Security and PrivacyEngels5
semester IIverplichtINMAFST-08Master ThesisEngels30
Opmerkingen

The Master Computing Science, track Data Science & Systems Complexity (DSSC) consists of 95 ECTS compulsory courses.
In addition, there are 25 ECTS elective courses:
- 15 ECTS can be chosen freely from any Master courses taught at the University (to be approved by the Board of Examiners)
- 10 ECTS have to be chosen from the list of guided choice courses

» Free choice course units
PeriodeTypeCodeNaamTaalECTSUren
semester II bkeuzeWMCS19001Advanced Parallel ProgrammingEngels5
» Guided choice course units
PeriodeTypeCodeNaamTaalECTSUren
semester I akeuzeLIX016M05Learning from DataEngels54
 keuzeTBROB-12Robotics for IEMEngels5
 keuzeWISG-09Statistical genomics (19/20)Engels5
semester I bkeuzeTBAFPE-11Fitting dynamical models to dataEngels5
 keuzeINMIP-08Image ProcessingEngels5
 keuzeKIM.ML09Machine LearningEngels5
 keuzeINMSME-08Software Maintenance and EvolutionEngels5
 keuzeSTMASP-12Statistical Signal ProcessingEngels5
semester II akeuzeWICSA-10Contemporary Statistics with Applications (20/21)Engels5
 keuzeLIX001M05Natural Language ProcessingEngels54
semester II bkeuzeMLBI0801Advanced self-organisation of social systemsEngels5
 keuzeTBSE05ESystems engineeringEngels5
Opmerkingen

N.B.:
- Robotics for IEM (TBROB-12) requires prior physics knowledge.
- Contemporary Statistics with Applications (WICSA-10), Statistical Signal Processing (STMASP-12) and Statistical
Genomics (WISG-09) require prior mathematical knowledge that is not covered by the Bachelor CS programme in Groningen.

Toon korte vakomschrijvingen