Dit is het onderwijsprogramma van Data Science: Business and Governance (2Q320), jaar van aanvang 2016

Studiejaar 1 
Blok 1 (september 2016 - oktober 2016)
Verplichte vakkenECTS
(880022) Data Mining for Business and Governance (CSAI/HAIT/DJ/NMD)     6
(620087) Data Science Regulation & Law     3 TLS
(880254) Research Skills: Data Processing     3
Verplichte keuzevakken ECTS cluster
(424301) Causal Analysis in Data Science 6 ELECTIVE 1 TSB
(320093) Enterprise Governance and Digital Transformation 6 ELECTIVE 1 TISEM
(620089) Governance and Policy making 6 ELECTIVE 1 TLS
Kies voor 6 ECTS credits uit alle vakken behorende tot cluster ELECTIVE 1
  6
Tot.
18
Blok 2 (november 2016 - december 2016)
Verplichte vakkenECTS
(620087) Data Science Regulation & Law     3
(880502) Master thesis/Data Science in Action     1
(880256) Research Skills: Programming with R     3
Verplichte keuzevakken ECTS cluster
(320091) Business Analytics and Emerging Trends 6 ELECTIVE 2 TISEM
(620088) Data Science: Sustainability, Privacy and Security 6 ELECTIVE 2 TLS
(424300) Psychological and Sociological Measurement in Data Science 6 ELECTIVE 2 TSB
Kies voor 6 ECTS credits uit alle vakken behorende tot cluster ELECTIVE 2
  6
Tot.
13
Blok 3 (januari 2017 - maart 2017)
Verplichte vakkenECTS
(320098) Analytics for Business & Governance     6
(880083) Machine Learning (CSAI/HAIT)     6
(880502) Master thesis/Data Science in Action     2
Tot.
14
Blok 4 (april 2017 - juli 2017)
Verplichte vakkenECTS
(880502) Master thesis/Data Science in Action     15
Tot.
15
Jaartotaal 60 ECTS credits