Which masters or PhD course should I choose for Data Science or Artificial Intelligence?
This is one of the most common questions I am asked
Here is my view – and the usual caveats apply – i.e. the viewpoint is personal and is not associated with any company or institution I am associated with
Before addressing this question, you should also read two articles by me
The common theme here is: I take a market driven view to data science.
For instance – the data scientist is more valuable the more directly they are involved in creating intellectual property for their company.
When you first start finding masters and PhD programs for data science or AI, you realise that most universities do not have a dedicated AI department.
And that’s probably a good thing in my view.
The impact of AI / Data Science is too sweeping to be centralised.
But that also means that its not easy to choose a masters / PhD program
Here are my suggestions
So, why choose a ‘non AI’ subject to get into AI ? (ex nuclear physics or astronomy)
The common theme in the above approaches is .. you need to demonstrate the ability to solve large, complex, quantitative problems typically involving large amounts of data. This idea acts like an Occam’s razor or a proxy.
Another way to look at it is: to take the Elon Musk approach – what is the hardest problem you have solved and your approach? So the PhD / masters should ideally end up working on hard problems and also learning the scientific method (approach)
When viewed in this way, your options are a lot more boarder