| I was on the Machine Learning track. Already had a CS degree from a prestigious school. I took classes primarily in the ML concentration, although I had to take some courses in theoretical cs and they were similar. I'd say my peers generally shared my opinion (classes not being very good). Many of them were trying to get into PhD programs so they were focusing on finding research opportunities and didn't care about the quality of classes much. Some struggled but blamed themselves for this rather than the class. (I'd say this was very common amongst the undergrads too). Of the PhD students I knew, most were discouraged from taking classes altogether, since it took away time from research. This was true even in the first year of their program. The general attitude from that side was that classes were a waste of time. Many higher-level classes were run as mini-research projects. You'd get some content, then the rest of the class would be forming teams, proposing project ideas, implementing, writing up results and having 'mini conferences'. I think faculty liked this since it was a good way to try out research ideas, recruit potential PhD students, and give their current students extra time to work on their research. Nothing wrong with that format, of course, but the actual coverage of content was typically superficial. If you weren't already familiar with the area, you had to figure it out on your own as you went along. Also, this is not a class format that translates to online very well. |
I do not. I'm self-taught and considering the online MS for the purpose of signaling that my skills are legitimate (and filling in some theoretical gaps). As a hiring manager, would this change the value of an MS in your eyes? Or still unimportant compared to projects?