Ask HN: Master of Science in Computer Science at Georgia Tech

I completed my OMSCS last Spring, specializing in Machine Learning. My advice to you would be to not worry about any specialization as you can change it later on. Focus on taking courses that interest you. You need to complete 10 courses for completing the program. With 2-3 mandatory courses + 3 electives, you have room for at least 4 other courses not in your specialization.

There are some interesting courses on the Computing System track. FWIW, my undergrad was in a different engineering field. So I really enjoyed the Network Security and Intro to Operating Systems. The Algorithms course reshaped my perspective on formal methods and correctness. The HCI course is also very good.

As mentioned by @bewestphal , check out https://omscentral.com/ for reviews to get an idea about the popularity, difficulty and time investment for the courses.

Any chance you could post a list of the textbooks you used?

Sure.

1. Introduction to the Theory of Computation - Sipser and Introduction to Algorithms - CLRS (for the Algorithms course)

2. Machine Learning - Tom Mitchell

3. Artificial Intelligence - A Modern Approach - Russell and Norvig

4. Design of Everyday Things - Norman (for HCI)

5. Operating Systems in Three Easy Pieces [0]

Most of the courses had their own notes, slides and suggested research papers as primary reading and the textbooks were mostly used as a secondary reference.

[0] - http://pages.cs.wisc.edu/~remzi/OSTEP/

Hi, are the courses same as those freely available on Udacity, with only difference being in exercises ?

Whats the total program cost? Pricing on the website is a little confusing

I'm in it right now, starting my third term in May. It's been very valuable for me. However, I think I'm like most of the students: coming from a math, engineering, or science background, transitioning into a more software development-oriented career. The value of the OMSCS degree is very clear for us: the degree as a qualification, and exposure to knowledge/skills we don't already have.I'm not sure if it would be as valuable for someone who already has some sort of computer science/systems background. I'm not really sure what a computer systems engineering degree entails so I may be way off here.

Some other thoughts:

The time investment and effort to do the courses is serious. Not only are the courses very time-consuming (10 - 30 hours per week), but you're also expected to do research and study up on material on your own in certain classes. You can't just be a passive consumer of the material. It can be very rewarding and/or very painful depending on what you're getting out of the course.

Your choices are constrained by class capacity. It is very difficult to get into the more popular courses (i.e the ML ones in particular) and so be prepared to take non-ML courses until you have enough seniority to get better registration preference. Don't even bother trying to plan out your courses in advance, a lot of it will just be determined by when you are permitted to register for classes! To be fair, based on recent emails from GT, it seems like they're aware of this problem and looking to open up other classes (possibly taking advantage of more courses going online during the pandemic). They also seem to be opening up courses that were formerly restricted to the OMSA degree (the more math-heavy analytics equivalent) which I'm really excited about.

How many courses are you taking per term? Do you spend 10-30 hour/week with only one course?

Yes, that's with one course. Huge variance in time per class, so you can do two courses for the same amount of time if you are strategic about your choices.

UT Austin's program is also worth considering. It's newer but there is supposedly more consistent quality and rigor to the courses. Of course nobody has taken both so it is speculation from students at both schools, but that is the general consensus I could pick up from the respective subreddits for both programs. You also have to take the GRE for UT Austin.

As for your question about remaining hours, they are classes you choose. Anything not explicitly required or part of your specialization gets filled by electives of your choosing. You can also see rankings by students of all the courses here: https://omscentral.com/

Thank you for the information, I just quickly checked the page and I think it has less elective courses to choose from compared to the Georgia Tech program.

Another thing to take into consideration is that UT Austin's program is more expensive.

[MASTER OF COMPUTER SCIENCE ONLINE](https://www.cs.utexas.edu/graduate-program/masters-program/o...)

It has less electives because it is newer, but most people are choosing it due to increased rigor. The OMSCS program has more watered down classes supposedly. One of the things that irritates me about the georgia tech program is that they hardly have most of the classes in a program available. I'm most interested in computer vision courses and they have one class on computational photography and nothing else. On campus students get things like multi view geometry and all kinds of courses I think are essential to computer vision researchers, but not online students.

The remaining units are free electives if your choice. More than enough to touch all topics you’re interested in.

Definitely check out the reviews here https://omscentral.com/

Personally I recommend Computer Vision, Reinforcement Learning and AI Techniques for Robotics. Skip classes that emphasize writing essays over coding.

Anyone complete or accepted to OMSCS without a background in Computer Science?

Any recommended ways to fulfill their requirements for the basic CS without paying $$$ to take courses?

Was denied for not having the CS background before joining a FAANG.

University of the People has a free-ish CS program. You might look into that. It's zero tuition, but you have to pay $100/exam (or at least that's what it was when I was looking at it).

I have a background in physics and am a first-semester OMSCS student. So no formal CS training, though my day job is computational geophysics.

The r/OMSCS subreddit has excellent threads where folks list their backgrounds and whether they were accepted. It’s a great way to get a rough estimate on your acceptance chances.

You may want to check out the Online Master of Science in Analytics there also: https://www.analytics.gatech.edu/

Have you checked the subreddit dedicated to this program?

Yes, I posted the same questions there

> I'm Mexican

Sure but why is this relevant to your question

Where a person and their previous degree are from might provide a different background for needing/wanting a further degree, or for understanding what kind of existing education and credentials they have. There might e.g. be differences in substance or reputation between degrees from different countries.

It might be a small detail, but I can see how it could be relevant. At least I might find myself asking what kind of prior education and from where a person asking about a program has if that information weren't included.

Also, it's a small human detail. Maybe not important, but not a huge waste of mental bandwidth either.

May want to try GradCafe for nuanced responses. Not sure if you're talking about MS or MEng, but if it's MS then finding a good match with your advisor and research group is more important than anything else.

What do research groups have to do with GaTech’s online Master of Computer Science offering?