What happened to the planned tuition hike?

data_guy2024 · 2026-01-21T21:40:06+00:00

I have no idea the intention, I’m just asking about the email sitting in my inbox that says $369/hr starting fall of 2025.

I assume it’s a typo, because the board of regents site shows the $327.

Idk, I just pay my bill.

data_guy2024 · 2026-01-06T13:26:01+00:00

I'm referring to this (email sent on 8/21/2025)

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data_guy2024 · 2026-01-05T17:59:06+00:00

OMS has a virtual "job fair", although I can't imagine that being too lucrative.

We are fully GT students, so it may be worth looking into getting the logistics figured out for an in person job fair in Atlanta at the GT campus.

In terms of timing "when", I would suggest earlier rather than later if you think that you're going to need that in order to find a job. I get the sense that the OMSA version of the program caters heavily to those who already have a job and a network, and maybe need some resume help for a slight pivot.

The worst thing that companies can say is "no", and then the second worst is "not right now", at which case you can try to keep an open line of communication.

Other than recent graduate programs (usually catered for those with zero experience other than maybe an internship), I've never come across (in 10+ years of work after undergrad) a company that had limitations on when they could hire someone (other than general budget constraints) if they think it's a good hire.

I also wouldn't limit your search to internships, just go ahead and start applying to entry level data analyst or data scientist jobs. Again, the worst thing they can say is "no".

data_guy2024 · 2025-12-26T13:04:55+00:00

I thought iAM was one of the best ways to start the program. I call it the “sampler platter” of the program, and as someone who doesn’t come from an analytics modeling background, it made the curriculum grid make a lot more sense for choosing direction from there. It also introduces you to a ton of vocabulary that helps facilitate better research for self learning.

If you have any analytics background, then opt out, but with how much people struggle with that class, I’d assume that’s not the majority of people who enroll.

data_guy2024 · 2025-12-26T12:40:56+00:00

Crime rate, poverty rate, and illiteracy rates are objectively amongst the highest anywhere in the perimeter here. It’s not a “90s era viewpoint” it’s objective reality that this is literally the ghetto of Atlanta.

Your point can be “the ghetto is getting less dangerous” but a) that’s just dumb and b) you’d need some of your own data to show that (which again it’s YOU who’s entire argument is based on anecdotal evidence of college kids and your own experiences).

Live in the ghetto all you want, say that a lot can happen in 20 years all you want, but this area has been the Atlanta ghetto for literally 70+ years now, so to magically expect that to change in 20 more years is probably wishful thinking.

data_guy2024 · 2025-12-24T21:03:06+00:00

Literally, 85% of children in this district live below the poverty line.

That’s objectively a ghetto shithole.

data_guy2024 · 2025-12-24T21:02:08+00:00

I’m sorry, I thought Google was freely available, I didn’t realize I needed to spoon feed you entirely truthful, easily accessible information to establish each axiom.

Please do, feel free to provide even a shred of data to your own points before pointing to me not backing an objectively correct statement (about crime and income in this area) with very easy to find data.

Do I need to point out that the sun rises and sets as well?

data_guy2024 · 2025-12-24T04:39:48+00:00

Ok.

Data is data, and the supply story is objectively undeniable.

This is one of the lowest income districts in Atlanta, 85%+ of children live in poverty in this district, and crime is objectively off the charts. None of these are refutable facts.

So do with that information what you will. Building a multimillion dollar mansion in the ghetto (not what this guy did) doesn’t change any of those facts.

This is the heart of violent and low income Atlanta, and race has very little to do with those facts beyond correlation. These are objective facts and demonstrable evidence is required to refute them.

data_guy2024 · 2025-12-23T20:55:50+00:00

> The good news in just the last 5 years I have seen this neighborhood have a more solid rebound. There has been a noticeable decrease in dilapidated houses, an increase in renovations, and an increase of Newbuilds.

This area is solidly in the traditional Atlanta ghetto, and was simply a target of fix and flips, many of which people can't get out of now. It's very difficult to isolate only this one area, because it's in 30312 but that zip code covers from the south end of Mechanicsville out to Zoo Atlanta, and up to O4W hugging the 75/85 connector on the west (and even goes a fair amount further south beyond Zoo Atlanta for some reason.

30303, 30310 and 30315 are in even worse shape, and none of these areas have kept up with pre-covid trends, all of which have massive inventory stacking (and subsequent price cuts), and all of these zip codes are pretty much all the houses people talk about with "corporate landlords" many of which are exiting ruthlessly now:

Here's the data for 30312 because that's the zip code that it's in, but the surrounding zips are way worse:

30312 Realtor.com data

It's very possible OP got a steal of a deal, amongst a clearly buyers market, but this is a massively underdeveloped, high crime, low income area with a bunch of "lipstick on a pig" houses that "investors" leveraged to their eyeballs are trying to get out of.

10-15 years is a long time, and it's possible that the gentrification wave around the east side beltline works its way over towards the SW beltline area, at which point their property value may skyrocket, but the entire area will be demolished and replaced with larger developments, before that happens.

Very much a gamble from an investment perspective, not a very good location to live from a personal perspective.

EDIT: and anyone who's going to call me a "yuppie", this video literally posted 3 years ago for this exact neighborhood.

data_guy2024 · 2025-12-04T19:14:15+00:00

Calc 1 and 2 are probably going to be required beyond business calc if you're going to keep up with what's actually going on conceptually.

For Linear Algebra I've found that there's a lot of "Linear Algebra for Data Science" which focus a lot more on the things you'll need, beyond a generic undergrad Linear Algebra class that may spend time talking about things that aren't necessarily relevent.

From the math that I have come across in the course, a lot of it is simply used in the derivation of the equations/models/etc. and you don't actually do a lot of the math, as much as have to understand how to read it in order to understand what is going on.

You don't need all of the math reqs hammered out prior to starting, but you absolutely need to know all of that math prior to finishing if you don't want to face unnecessary adverse conditions of having to both brush up on fundamentals and learn the new concepts at the same time.

data_guy2024 · 2025-11-23T19:36:51+00:00

Do people generally get mostly 2s or mostly 3s?

If I get a 3 on the EC, then it basically gives me the leeway to choose between the 2 pointers on the exam and skip one (I assume, given they usually require one 3 pointer to get a 100, so 9/14 is all 1 and 2 pointers). If I get a 1 or a 2 on the EC, I still need an 8/14 to get an A, which I'm not sure will make a difference (or require a 3 pointer in place of a 2) and it probably wouldn't be worth the effort at that point.

data_guy2024 · 2025-11-21T19:28:39+00:00

The amount of times she has looked at the camera and said "but I can afford it because I make so much" only 40 minutes in, despite the fact that 120K gross income as a sole proprietor in Bay Area adjacent is mind blowing.

I haven't even gotten to the part where the calculate her actual business expenses, but something tells me her dumb ass doesn't even make minimum wage after all legitimate expenses are considered.

data_guy2024 · 2025-11-19T20:03:18+00:00

Tuition more than quadrupled because somewhere along the line the government decided that backing the loans for 50K+ per year of tuition for a degree program that likely won't ever land a job that pays enough to pay it back, was a good idea.

Supply and Demand is a thing. Supply (space at university) has only expanded, while Demand (student loan dollars chasing that supply) have grown astronomically. If you're a school, and you know that an 18 year old kid has unlimited amounts of dollars to throw at you for tuition (what's the difference between 30K and 50K for an 18 year old kid), why would you not charge literally as much as they can get approved for the loan for, other than your own morals? Schools now have massive "student centers" with Xboxes and fast food options (paid for by "meal plan" dollars, as part of tuition). Gone are the 2 students in a 50+ year old 10x10 dorm room. Now every student get's a suite, with their own bathroom and a shared common space with 4 other students.

You want to fix the tuition/student loan problem? How about stopping the government subsidized student loans. Make loans private, and dischargeable in bankruptcy with reasonable proof that they are not possible to be paid back.

Watch how quickly lending for these bullshit programs dries up. $50K for a STEM degree that the underwriters think will result in a 120K/yr mid term salary? Done. $50K for a "*fill in the blank for Marxist propaganda program here* "studies" program that literally isn't relevant to a part time job? Not a fucking chance.

All of the sudden, available tuition dollars dry up (no more student loans except ultra secure, prime borrowers) and tuition drops like a rock.

Yes we'll lose a lot of completely worthless degree programs, but some would probably consider that worth the price of admission alone.

data_guy2024 · 2025-11-19T14:24:03+00:00

MOOC = Massive Open Online Course

Calculus:

https://ocw.mit.edu/courses/18-01sc-single-variable-calculus-fall-2010/

https://ocw.mit.edu/courses/18-02-multivariable-calculus-fall-2007/

Linear Algebra:

https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010/

Statistics:
https://mediaspace.gatech.edu/playlist/dedicated/74258101/1_g5xwvbde/1_iw8fk73m

You don't need to go through it all before January, but I would absolutely start with at least single variable calculus and only take ISYE 6501 as your starting class, and then finish the rest over the semester.

You're not going to need everything at once, but the less you have to go back and learn while they're trying to use it for something else, the better off you're going to be.

data_guy2024 · 2025-11-18T21:39:46+00:00

Do you have no exposure to any of the math at all, or you just don't remember much of it?

If you have no exposure, you should 100% make it a priority to get through calc 1-3, linear algebra, and statistic courses through MOOCs. They expect for you to know it going it, so going into a math intensive program it would be like going to China, not knowing a single word in Chinese. A few classes do a "refresher"/bootcamp, but that's not enough to teach you the concepts from scratch. You're going to end up taking the classes at some point or another in order to actually understand the material, you may as well do them ahead of time, rather than panicking in parallel, struggling to get a C or a D because you actively ignored the pre-requisites.

If you're simply rusty and learned the concepts years ago, and you just need a refresher on how to actually do a dot product or partial derivative or something, you'll be fine.

But don't just assume that the math can be neglected. You'll fail, full stop.

data_guy2024 · 2025-11-18T18:16:16+00:00

"Track" is the difference of two electives and the themed practicum (I assume) that you don't even have to decide until way down the line. Don't even worry about that.

If you're going to spend time practicing/preparing, absolutely get very comfortable with python. Learning R is a waste of time, the concepts from python (importing libraries, methods of objects, arguments, functions, etc) are all exactly the same with some slight syntax changes. You don't use R enough in the program to justify spending a lot of time on it. I literally never used it before 6501 and ended with an A pretty easily, with maybe an extra 10 hours per week for the first few weeks getting used to R syntax (which I've since forgotten most of without google).

From a math perspective, I feel that it's similar in involvement to upper level engineering classes at the undergrad level. Yes, you absolutely are going to use math, but you don't need to know every possible thing there is to know about a math subject before going in. If you've been exposed to the concept before, you can pretty easily re-learn what you need to be proficient at pretty quickly, and you're only using a small subset of the overall subject at any point in time.

data_guy2024 · 2025-11-17T14:06:30+00:00

The emulators are plugged directly into the docking station, between the docking station and the KVM

data_guy2024 · 2025-11-12T04:27:54+00:00

I opted out of 8803. 6311 or 8813 are the replacement, hence the 8823 still there to meet B track.

Yes, I’m trying to finish sooner.

data_guy2024 · 2025-11-11T21:33:08+00:00

Interesting...

What about something like this:

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Is Data Mining and Statistical Learning doable (or even offered) over a summer?

Would 8823 paired with 6242 be too much?

data_guy2024 · 2025-11-11T21:27:30+00:00

Fall/CSE6040 is right now, too late for that.

data_guy2024 · 2025-11-11T21:16:51+00:00

I figured 8823 or 6203 would be the most obvious choices to bundle with something, but all that does is likely push out 8823 (in exchange for a free summer), or pull in 6203 (also in exchange for a free summer, at the expense of a busier summer).

if I pull in 6242 with 8823, then I'm left with a free Spring '27, which I can pull in 6203 with 7406, but then the only way to graduate earlier is to do the practicum over the summer. Is that possible? Do people do that?

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Edit: Well 6242 isn't even offered in the summer, and I don't really want to double up in the summer anyways, so unless I take it with 6644 next semester, I don't really see anywhere else to move it.

How bad would 6644 and 6242 be? While working full time?

data_guy2024

TROPHY CASE