This is the complete programme for "Data Science: Business and Governance" (2Q320), initial year 2016

Year 1 
Unit 1 (September 2016 - October 2016)
Compulsory subjectsECTS
(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
Compulsory optional subjects 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
Select 6 ECTS credits from all subjects in cluster ELECTIVE 1
  6
Tot.
18
Unit 2 (November 2016 - December 2016)
Compulsory subjectsECTS
(620087) Data Science Regulation & Law     3
(880502) Master thesis/Data Science in Action     1
(880256) Research Skills: Programming with R     3
Compulsory optional subjects 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
Select 6 ECTS credits from all subjects in cluster ELECTIVE 2
  6
Tot.
13
Unit 3 ( January 2017 - March 2017)
Compulsory subjectsECTS
(320098) Analytics for Business & Governance     6
(880083) Machine Learning (CSAI/HAIT)     6
(880502) Master thesis/Data Science in Action     2
Tot.
14
Unit 4 ( April 2017 - July 2017)
Compulsory subjectsECTS
(880502) Master thesis/Data Science in Action     15
Tot.
15
Year total 60 ECTS credits