The idea of a Masters degree in AI is a pretty large reach for a university to award.  Most AI is pretty piecemeal and working on magic.

The *truth* is, despite marketing hype like [Hadoop][1] and such, there is no general solution to unstructured data except a full-blown AI solution to correlate data with experiences in the world.  Visual processing gives you structure along three dimensions (two spatial).  But, much like Ed Abbey's *[Flatland][2]*, missing a dimension can force very large errors out of your decision-making process.

You can try to do your learning with more than these dimensions (adding another camera at an orthogonal angle, for example) -- that's one answer.  *Or*, you can implement a full-blown AI model which is ready to be developed in the world and uses a multi-layered, [Markov model][3], for tracking all probabilities on all inputs to create excellent guesses, assuming your input data is ordered (and not noise).

  [1]: https://en.wikipedia.org/wiki/Apache_Hadoop
  [2]: https://en.wikipedia.org/wiki/Flatland
  [3]: https://en.wikipedia.org/wiki/Markov_model