Am in support of your proposal Sinan Ibaguner but such a course needs the orientation framework of scientific methodology and, of course, data science. Commanding such a course, defining some textbook and following examinations is more an administrative task; I stay with Gauss, that we need to understand the real problem of the underlying mathematical idea of a measurement, before we execute the mechanical operation of interpreting data.
The management of data is the domain of statistics. It is only logical that professionals whose activities will result in gathering of data be equally educated on the management of data to squeeze meaning from such data. It will enhance their productivity if such professionals are trained in statistics
'Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write!' (Attributed to H G Wells - where mercury comes from...)
Quote from the presidential address in 1951 of mathematical statistician Samuel S. Wilks (1906 - 1964) to the American Statistical Association found in JASA,Vol. 46, No. 253., pp. 1-18. Wilks was paraphrasing Herbert G. Wells (1866 - 1946) from his book Mankind in the Making. The full H.G. Wells quote reads:
'The great body of physical science, a great deal of the essential fact of financial science, and endless social and political problems are only accessible and only thinkable to those who have had a sound training in mathematical analysis, and the time may not be very remote when it will be understood that for complete initiation as an efficient citizen of one of the new great complex worldwide States that are now developing, it is as necessary to be able to compute, to think in averages and maxima and minima, as it is now to be able to read and write'.
Statistics is of high importance in all the two disciplines, but according to what I think, each specialization differs from the other in that there is a specialization that needs to be in-depth in the science of statistics