Decision Sciences or Management Science was an evolved discipline. Since 1950’s. Its just that the lingua franca of the same is now finding more acceptance in the world of corporations.
20 years ago, a bachelor’s grad in Statistics was unemployable.
Now most of them have multiple job offers.
Only 10 years ago, ‘average’ IT consultants started ‘doing’ certifications on ‘Machine Learning’. 10 years later they will be irrelevant.
Someone needs to teach the recruiters in corporate world re relevance of education for the job. More importantly the purpose of the job. E.g. I know a medical doctor who made a top-notch statistician. And then there was a clerk at Madras port trust who made a celebrated mathematician. Neural Networks and notion of perceptron was an invention of a neurophysiologist. Not an MBA in something. 1940’s thingie. The Stochastic Gradient Descent, a method of deep learning was first published in 1967.
Learning the ‘tool as a black box’ Vs learning about the purpose and context behind the invention of these tools are entirely different things.
Knowing how to drive a car does not make you an Automobile Engineer!
A well-known mechanical engineer at General Motors spent a lifetime understanding fuels and lubrication.
Am I a rock star? No. I am just about as good as a 10th standard student. Learning. Barely employable. My resume was never marketable. I didn’t even know why I was in the jobs I was. It all feels like one long dream to me.
