Establishing data science programs as an independent discipline

What are the benefits of establishing data science programs as an independent discipline rather than creating data scientists in different fields? (for students, universities and the society as a whole)

I am authoring a book on data science and I have mentioned some university programs as models for establishing data science programs in bachelor's, master's and doctorate level. I am thinking of some reasons to compare this model with enriching well-established programs and adding data science skills.

Topic data education

Category Data Science


Advantages of setting up a dedicated data science as an independent discipline, which I can think of:

  • There would be more and more data scientists who can cater to the growing demand for them, in companies and industries in almost every domain.
  • The concept of statistics, algorithms (ML would be included in this), and Big Data don't need to exist as chapters in separate domains. Now, they can exist as part of the data science workflow in this program.
  • Data Scientists would be more aware how data science would be applicable in the domain of business. The concepts of business knowledge for data scientists is often found wanting. Data scientists with a knowledge of Business Statistics is in huge demand, and a domain dedicated program would help serving the needs.

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