Most of the core classes (like machine learning) are more math based. In machine learning, it's done from a mathematical/theoretical approach. Another example is regression analysis, where you learn the math before doing the practical work in R.
I have a weak math/stats background but a strong software background, which also aligns with my interests so I'm doing the computational track. As I mentioned before, most of the core curriculum is math heavy so I'm learning that aspect, but I'm also getting a ton of practical experience in machine learning and big data work.
Looks like the business track isn't offered in the online program (yet), which is weird because it looks like all the requirements are offered online.
- CS7450: Information Visualization. Basically learned how to create useful data visualizations. Loved this class
- CSE 6242: Data and Visual Analytics. This class is interesting because you learn a very wide breadth of tools. We learned visualization (D3), big data processing (hadoop), and analytic tools (random forests for example). This was my favorite class so far
- ISYE 6414: Regression Analysis. The theoretical math parts of this class were really hard for me, but learning how to do practical regression analysis in R was super valuable to me.
- ISYE 6644: Simulation. Loved the professor for this class (Dr. Goldsman) but the material didn't seem very useful to me. Knowing the general approach of simulation for modeling is useful, but we went pretty deep into the math that I don't think will be useful in the long run
- ISYE 8803: Intro to Analytics. This was the most practical class I took and was taught by the head of the program. You basically learn all of the analytical models for the first 2/3s of the class, then in the last third you look at case studies and how to apply them.
Hopefully there's enough detail in there for you, let me know if you have any other questions
Thanks for all of these comments, great to have some inside knowledge on this program.
Most (I'm guessing 75%, possibly higher) have some work experience. Most have either strong math background or strong software background but there are exceptions. Lots of former engineers of all kinds, chemical, mechanical, software, etc.
My experience so far has been excellent. I just started my second semester, and I can say that the curriculum covers exactly what I wanted to learn with the exception of one class. The program is extremely practical, it's only one year and is focused on getting the students jobs. The professors are great, and I highly recommend it to anyone wanting to get into the field.