More and more industry and government organizations recognize the value of data for decision-making and have set up general and specific data scientist roles to support data science and engineering, e.g., Chief Data Officer, Chief Analytics Officer, data modelers and data miners, in addition to data engineers and business analysts.
An increasing number of data science courses are available from research institutions and professional course providers. However, they look more like “old wine in new bottles”, i.e., a re-labeling and combination of existing subjects in statistics and IT. A fair summary of the templates for creating the current so-called data science courses is the hybridization of statistics, computing and informatics; or in a more specific sense, the combination of statistical analysis, data mining, machine learning, programming, and case study assignments.
With regard to course-offering disciplines, many more courses are available today in data science and analytics compared to five years ago when the first research degrees, Master of Analytics and PhD in Analytics, were established . This is in addition to related courses offered in classic disciplines, in particular statistics, informatics and computing. As shown in references , , , , , the following is clear:
Data science courses are generally offered through the following channels:
 L. Cao. Data science: Profession and education.
 UTS, “Master of analytics by research and PhD thesis: Analytics, Advanced Analytics Institute, University of Technology Sydney,” 2011.
[Online]. Available: www.analytics.uts.edu.au
 Silk, “Data science university programs,” 2016. [Online]. Available: http://data-science-university-programs.silk.co/
 DSC, “College & university data science degrees,” 2016. [Online]. Available: http://datascience.community/colleges (accessed on 16 April 2016.)
 Github, “Data science colleges,” 2016, (retrieved on 4 April 2016). [Online]. Available: https://github.com/ryanswanstrom/awesomedatascience-colleges
 Classcentral, “Data science and big data — free online courses,” 2016. [Online]. Available: https://www.class-central.com/subject/data-science
 USDSC, “US degree programs in analytics and data science,” 2016. [Online]. Available: http://analytics.ncsu.edu/?page id=4184