I am planning on getting a math + stats bsc and a CS msc

I am planning on getting a math + stats bsc and a CS msc

But 20 minutes on this board leaves me wondering if a math degree is a waste of time.

Or maybe the CS fags are just salty?

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Poopie butt,

what do you want to do for a career? or are you undecided?

a math degree is good for general marketability, not as great as physics but good. CS shoehorns you into a tech/IT job, and if you're not dead-set on being in tech, it's a good idea to diversify your degrees

You'll earn way more money in a lot less time as an HAVC technician, and not have to deal with diversity.

You don't have to take my word for it - talk to anyone who runs an havc business. Good help is a rare commodity they are willing to pay for.

I want some kind of programming/tech/data job making 6 figures starting.

I don't want to be some code monkey

I am considering going into big data / machine learning but I hear that is just a meme waiting to bubble

>21.68 dollars an hour is the average pay for an HVAC technician

if you like data science / big data / machine learning, go ahead and look up who gets that kind of job on linkedin. it's mostly high energy experimental physicists who've been trained in analyzing shit tons of data using C++ and python. not mathematicians trained in proving theorems using Mathematica and Maple

>it's mostly high energy experimental physicists who've been trained in analyzing shit tons of data using C++ and python. not mathematicians trained in proving theorems using Mathematica and Maple
This is total bullshit.

no it's not...

are you OP? we can talk about it if you want...
otherwise you're just wrong. math guys don't go into data science, they become the "statisticians" at data companies, provided they focused on that particular sub-track of the math curricula. HEP guys ALWAYS get the data science jobs because they're the ones tackling petabytes of data on a daily basis; most mathematicians have never even heard the word "petabyte"

I like math so I atleast want to get a bsc in math. I am going to pair it with stats, and a MSC in CS seems like a good compliment for that

>I am planning on getting a math + stats bsc and a CS msc

That's good.

>Or maybe the CS fags are just salty?

They probably just failed their 5th fizzbuzz interview this month.

sure, that sounds like a good path

however if you are the same guy who said you're interested in machine learning / big data / data science, then that might not be the exact right track to go in there. mostly CS + some math puts you in line to be the guy who implements the algorithms that the "we're not super great at computers but we design the algorithms in some high-level language because we know how to analyze the data" guys invent.

for sure this is not true 100% of the time. but the guys they employ to develop new data analysis algorithms are the guys trained to come up with the new best algorithms for analyzing large data sets.... that's usually guys who tackle large amounts of new and previously un-analyzed data on a daily basis... so you can see why i'm shilling HEP

guys who are really good at CS and math take those algorithms developed by the "data scientists" (who do the first pass of the data) and then they implement those algorithms in faster and better ways.

at least this is my perspective of how data science works (and i have a few friends who moved to data science)

Well what are some good career paths/options/titles I should look into if I want to stick with my math + stats bsc CS MSC route?

CS fields as Machine learning,compute graphics,HPC,distributive systems,cryptography,computer vision,robotics or IA need math prerequisites, but average programmer web developer,mobile developer or backend Java/C# only need high school math for mostly all career.

These developers begin common in internet communities and love say you don’t learn math for programming or them never ever use mathematics, but at same time love some field computer science but lack formal formation to work on it.

statisticians at financial firms is a very good option, career wise. they are always in high demand and make good livings

statisticians at big-data companies are also in high demand, and make almost-as-good money.

Do I need a MSC in CS if I want to go for that? Would another MSC in math and or stats be a better option then?

Aren't those jobs going to be obsolete in the next 10 15 years?

well, it depends. some statistician positions do emphasize the computational aspect (i would say most positions require a good computational background afaik) but whatever degree they emphasize can vary. the point is whether you can do financial statistics that can make them the $$$

probably this is up to you: if you can learn how markets work, or alternatively make the computers figure out how they work, then you should be able to do some "toy examples" of how you "would have been able" to predict the right financial tactic or you could have predicted the 2008 financial crisis or whatever. that is what the employers will care about.

whether you use pure math or statistics or computing chops is secondary to the results, at least as far as financial firms are concerned...

i would say, though, that having ambitions that high is naiive. you should just pick the degrees that best suit your ambitions in life, attain them, and use the skills you gained in the process to pursue the career you want. it's tough to know what jobs go with which degree, so that's what i'm trying to clarify...

Putting ethnicity or sexual orientation on a resume just seems super unprofessional.

>3.95 GPA
I like how whatever retard made this thought that was even remotely acceptable, perhaps even good.

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>tfw unironic data scientist
>have a BA in Political Science
>some faggot on Jow Forums tells you that you have to be a physicist to work in your field
Jesus christ guys.

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Many diversity hires include a brief personal biography and sneak it in there. Not like Red Ruby (former name for references Richard Stern) or Guatalupe Hidalgo Gonzales Ramirez Constales Juanita Burrito Supreme have to do anything like that.

>BA in poly sci
Why?

>that whole picture
Talk about NEET burn out excuses

Wanted to be a lawyer. I did take a lot of math classes though.

normie memes are abhorrent. the point is to have a short quip as a caption, not a fucking essay

The only place where being a white dude with a high GPA might actually hurt you is with low level government jobs, since they are actually required to care about muh diversity by law.

That's why you say you're "gay as fuck" on your twitter bio

Burgers do it out of 4.00

if you really do have the chops to do data science, then i feel for you. as a physics dude, who keeps a data science escape route ready, i do pity people who don't have the academic credentials...

but the corporate douchebags have NO IDEA about how to evaluate candidates for data science jobs based on our merits. nobody takes a test. they just look at your CV and say "oh this guy looks smart"

it's a failure of the corporate system, but that's how it works. they use degrees and academic credentials and the academic credentials of the people who write you recommendations to decide about whether you know your shit or not...

I'm aware.
t. 4.0 math student who hasn't ever put in effort

honest question, how do they tell ethnicity for affirmative action? If I just say I'm black despite being clearly white, would it work?

Math is the only real thing that exists. You are powerless to refute this.

Has anyone here tried going back for grad school or a second bachelor's after spending a few years working in the field? Would the fact that you spent a few years away from academia be a hindrance when it comes to getting into a reputable school? If you kept your job while in school, how did you manage juggling the two?

just bought a house and the mortgage lender just put me down as "white" after only a phone call. good luck.

companies that only care about diversity will likely fail to newer companies that don't care. That is the only benefit society really gets from the concept of forced diversity.

>math major
AHAHAHAHA
yeah alright buddy, you and the gender studies major matter too.

If you dont want to code and are just looking for cash enterprise software sales will make you rich by the time ur 30.

Start at some mid sized SaaS company then move to Oracle or the google sales team.

You don't even need to pay for school and reap the benefits of math. Just do open courseware from MIT. Learn some programming and go into business for yourself. You'll be 1000 times ahead of anyone else within hundreds of miles and if you're really good you can do your business online.

what the fuck, do they give better rates to nonwhites? can i hire a black man to pretend to be me over the phone?

most companies don't give a shit about the morals, they just get fines if they don't have X amount of women and blacks.

gender studies is just a way to make people who can only think of fucking like your college.

i think it was some "voluntary" stat collection where they have to prove to the department of housing how they don't discriminate?

What are some businesses a person can do by themselves to make cash money?

exactly. Even if they, well, especially if they do care it will come back to fuck them. In the end smaller businesses or freelancers will win because of forced diversity. The only losers are blacks bc they will be like a butterfly helped out of a cocoon.

hooker, freelancer, prostitute, pornstar, drop shipping, stripper, cam girl, or hacker

I'm sure there are others but that's off the top of my head.

and genius. that too

Sounds like you had an almost liberal arts tier easy major. Try a harder one next time that has a few classes where you aim for the C, like Electromagnetics and Transmission Line Theory.

Cyber criminal. You have to move to Russia/China to really succeed though.

I don't think that it matters what you go to college for if you spend your time learning hard and specific skill sets. Become an expert and nothing can stop you. General knowledge is valueless.

>but the corporate douchebags have NO IDEA about how to evaluate candidates for data science jobs based on our merits. nobody takes a test. they just look at your CV and say "oh this guy looks smart"
This is literally almost every job.
The saying "It's not what you know, it's WHO you know" exists for a reason.

^^ this guy knows. Teach yourself and look for startups to help. Contribute to open source. Take the hard path but a different one than everyone else. Some guy from stanford will always have a bbetter cv and better connections.

Ah, high time preference.