This is the complete programme for "Data Science: Business and Governance (Spring)" (2Q325), initial year 2017

Year 1 
Unit 3 ( January 2018 - March 2018)
Compulsory subjectsECTS
(320098) Analytics for Business & Governance     6 TISEM
(880254) Research Skills: Data Processing     3
(880259) Statistics and Methodology     6
Tot.
15
Unit 4 ( April 2018 - July 2018)
Compulsory optional subjects ECTS cluster
(424301) Causal Analysis in Data Science 6 ELECTIVE TSB
(620089) Governance and Policy making 6 ELECTIVE TLS
(320094) Knowledge Management and Societal Innovation 6 ELECTIVE TISEM
(880082) Research Skills: Data Processing Advanced 3 RS
(880256) Research Skills: Programming with R 3 RS
Select 12 ECTS credits from all subjects in cluster ELECTIVE
(offered in unit 4 and unit 5)

Select 3 ECTS credits from all subjects in cluster RS
  12
  3
Tot.
15
Unit 5 (September 2018 - October 2018)
Compulsory subjectsECTS
(880022) Data Mining for Business and Governance (CSAI/HAIT/DJ/NMD)     6
(620087) Data Science Regulation & Law     3 TLS, first part in unit 5 and second part in unit 6
(880502) Master thesis/Data Science in Action     3
Compulsory optional subjects ECTS cluster
(880008) Deep Learning (CSAI/HAIT) 6 ELECTIVE Compulsory prerequisite is 880254. Recommended prerequisite is 880082
(880083) Machine Learning (CSAI/HAIT) 6 ELECTIVE
Tot.
12
Unit 6 (November 2018 - December 2018)
Compulsory subjectsECTS
(620087) Data Science Regulation & Law     3 TLS, first part in unit 5 and second part in unit 6
(880502) Master thesis/Data Science in Action     15
Tot.
18
Year total 60 ECTS credits