website VS reviews

Or if you have to take 2 classes, go to omshub.org and pick an "easy" class for class number 2.

You're perfectly capable of taking 2 classes, but if it's your first time in the program, consider doing1 class you first semester. GaTech isn't an easy checkbox masters, but rather a rigorous one. It has a lot of benefits, but the biggest expense of the program is time. I would take 1 class the first semester so you can get an A or B, and gauge how much you have to study versus others on omshub.org or similar.

We used the same baseline reference data set on launching of OMSHub, and per cursory review, that is mainly what I observed when reviewing the data at that time. Anecdotally, things like the very first review here (click View raw to display in browser) occurred sparsely, but otherwise besides some light redaction to that effect, the data set was largely unperturbed "post-fallout" (i.e., not substantially enough to make appreciable changes to overall ratings, etc.).

You could always suggest to the omshub.org people to add a programming language filter or tag to their page. I think splitting classes between writing and projects might be tricky since this is a graduate program.

I see. I've been doing research (both on reddit boards and looking at omshub.org and https://mscshub.com), and I definitely see the Texas veers towards the math/theoretical while GT is more applied.

I went into more depth in my review on OMSHub, including qualifying my background for corresponding "level-setting/benchmarking" (second-most-recent review, for Fall 2022, reviewed 2023-01-04); which made me realize in the process, we need to create a view for a single review in OMSHub to make it directly linkable for this type of purpose (added GitHub issue already to the backlog when I realized this recently :D )

omshub.org

Update: ..and done!

We considered Firebase at the outset but it was eschewed in favor of Go at the time, but on subsequent second-pass, said MSCSO admin made a pretty compelling case for Firebase based on their reported little-to-no operating cost. So, at that point, I took a chance and ditched attempt #3 (Node/Express) in favor of doing Firebase, even though no-SQL/non-relational isn't really my wheelhouse...

Nah, I agree (and so does the other dev lol), in hindsight, this was a bad case of projection, I think---I've stared at this course codes for so long at this point, between scoping out courses and putting the site together (e.g., doing data parsing along the way), that I know more or less where the main courses I'm interested "live" lol...This one got me shook enough that the PR is up already :D (should be live on the site soon-ish, after review...if it fails review, that will be sad; it was a one-liner, I literally "had one job")

Pretty much everything else besides CN and Network Science (NLP is still up in the air, since that one was just launched this semester / Summer 2023). Caveat: I haven't taken most of these myself yet, however, I'm mostly passing on second-hand based on "common knowledge" as evidenced by workload & difficulty ratings as reported on OMSHub and OMSCentral. As these sites suggest, the majority of these courses on average have workload ratings in the 20+ hr/wk ballpark and dfficulty of close to 4+ out of 5.

Effort varies with student background and course difficulty. But be prepared to spend a significant amount of your time on OMSCS. https://www.omscentral.com/

Learnings and key ideas from each class can be applied anywhere, so don’t let it deter you if you are interested. But do definitely make sure you have a good idea of what the workload entails: https://www.omscentral.com/

The data's scraped from OMSCentral, which hasn't added NLP yet. I opened a GH issue with them to fix that, at which point it will automatically appear on the site. Until the owner of that site adds the class, I've noted everywhere where NLP should appear. Look for the following message:

I don’t believe it is easy. I would also check www.omscentral.com.

I am currently taking CS6750 Human-Computer Interaction. As part of the assignment, I created a survey about using OMSCentral interface (https://www.omscentral.com/).

www.omscentral.com also puts it at around 60h/week. That's 9h/day every day of the week, including the weekend. I don't think there is a way to plan for that in any way if you have a full time job. If that's the actual workload, perhaps it needs to be adjusted to better suit this degree program which is meant for working professionals.

I did it in two years working full time after having a bachelor's degree in physics, a MSc in information technology and about 8 years of experience in data and analytics related roles. Can it be done in one year with a full time job? I guess so... but I can say for sure that most people cannot do it without sacrificing productivity in your day job and without sacrificing mental and physical health. You might have to take only the easiest courses. I don't know where you get the 3 hours per week thing. Sure if you have a lot of background in a topic and the course is one of the easiest ones, then that might be the case, but the 10 hours per course per week is a better estimate. Some courses will take more like 18 hours per week. So, no. I definitely don't recommend you to try doing it in one year. Take the time to see the actual average time people invest in each course from a place like https://www.omscentral.com/. Use the averages there to build a plan an estimate how much time per week the average person would need. Then ask yourself, how much "above average" can I perform to reduce the time needed to take the about 4 courses per term I will need to take to graduate in one year? How much am I willing to sacrifice to reach that "above average" performance (time wise). Am I going to be OK with getting Bs in courses and probably not learn as much due to having to handle 4 courses at a time?

I'd think using https://www.omscentral.com/ may be the best answer here.