Dit is het onderwijsprogramma van Data Science: Business and Governance (2Q320), jaar van aanvang 2017

Studiejaar 1 
Blok 1 (september 2017 - oktober 2017)
Verplichte vakkenECTS
(880022) Data Mining for Business and Governance (CSAI/HAIT/DJ/NMD)     6
(620087) Data Science Regulation & Law     3 TLS, unit 1 and 2
(880254) Research Skills: Data Processing     3
(880259) Statistics and Methodology     6 unit 1 or 3
Tot.
18
Blok 2 (november 2017 - december 2017)
Verplichte vakkenECTS
(620087) Data Science Regulation & Law     3 TLS, unit 1 and 2
Verplichte keuzevakken ECTS cluster
(880260) Computational Statistics 6 ELECTIVE 2
(620088) Data Science: Sustainability, Privacy and Security 6 ELECTIVE 2 TLS
(880082) Research Skills: Data Processing Advanced 3 RS unit 2 or 4
(880256) Research Skills: Programming with R 3 RS unit 2 or 4
Kies voor 6 ECTS credits uit alle vakken behorende tot cluster ELECTIVE 2
of 12 ects credits

Kies voor 3 ECTS credits uit alle vakken behorende tot cluster RS
  6
  3
Tot.
12
Blok 3 (januari 2018 - maart 2018)
Verplichte vakkenECTS
(320098) Analytics for Business & Governance     6 TISEM
Verplichte keuzevakken ECTS cluster
(320092) Business Intelligence and Data Management 6 ELECTIVE 3 TISEM
(880008) Deep Learning 6 ELECTIVE 3 Compulsory prerequisite is 880254 Recommended prerequisite is 880082
(620089) Governance and Policy making 6 ELECTIVE 3 TLS, unit 3 or 4
(880083) Machine Learning (CSAI/HAIT) 6 ELECTIVE 3 unit 1 or 3
Kies voor 6 ECTS credits uit alle vakken behorende tot cluster ELECTIVE 3
of 12 ects credits

  6
Tot.
12
Blok 4 (april 2018 - juli 2018)
Verplichte vakkenECTS
(880502) Master thesis/Data Science in Action     18
Tot.
18
Jaartotaal 60 ECTS credits