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/biz/ - Business & Finance


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5106677 No.5106677 [Reply] [Original]

What degree do i go for biz??

>> No.5106707

>>5106677
Business Analytics
Or
Computer Science
Or
Data Science

Never something as general as Finance or a Pseudo-Science like Economics

>> No.5106721

>>5106677

Learn to program, duh

>> No.5106726
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5106726

>>5106677
both majors will make you work like a monkey for 70k
>>5106707
Economics is god tier if you're smart and can prove that you are worthy to get paid to think

>> No.5106743

>>5106707
Why? Would it be harder to get a job or something? Is computer science more practical?

>> No.5106841

>>5106743
More specialised and there is huge demand for it now, esp. in Big Data.

>>5106726
>think
Which unfortunately the vast majority of grads lack
The things you learn on Economics are based upon Hindsight/Past outdated data. Most of which are useless in the workplace or really fucking situational (Game theory for etc.).

>> No.5106865

>biz
>working
We traders now

>> No.5106894

>>5106743
Tbh the basics of economics/finance is sufficient and easy enough that you can pick it up on your own
Most of it is rooted on Common sense and can be done with Fin calc/excel.

>> No.5106913

>>5106865
this. none of us will work in 6 years

>> No.5106943

don't waste time on that shit. start working right now and put it all into crypto

>> No.5107001

>>5106894
Is comp sci a lot more math intensive than fin is?
Asking because I'm not a god at math but I'm not bad either. Just don't want to pick a major that I'll be shit at.

>>5106865
>>5106913
Im in higschool I only have 5k in crypto. Theres nearly no chance of me making it unless I go big on multiple altcoins.

>> No.5107055

I wouldn't even go to college. You can just go to a trade school and then do real estate.

>> No.5107122

>>5107001
Economic/Fin/Com Sci are all Math-intensive.
There is no running away from that.

In Com Sci, you will be writing Algorithms day-in and day-out.
Same with Fin/Economics if you pick the new modules (Machine learning/ Data analytics etc.)

>> No.5107221

>>5107001
The core of all these courses are statistics and data. As long as you are cool with stats and charts, you will probably make it.

>> No.5107274
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5107274

>>5107122
>In Com Sci, you will be writing Algorithms day-in and day-out.

not even close lol

>> No.5107581

>>5107274
What are you talking about, that's all my college courses are. CIS major

>> No.5107638

Computer Science, hands down. With CS you can still go into finance even if you want to with a finance minor, but with finance it'd be really hard to go into CS

>> No.5107691
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5107691

>>5106677
If a top business school (e.g. Wharton, Booth), go for Finance, otherwise go for CS.

>> No.5107730
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5107730

if you have to pay or take loans for a degree then none of them, just learn programming

>> No.5108030

>>5107730

Don't listen to him. CS isn't all about raw programming. A lot of it is learning how to attack complicated problems using different tools.

>> No.5108067

Got accepted into pretty good engineering programs and I'm sort of deciding where I want to go. Should I do Comp Sci or Comp Eng for the money? I know they're very different, just want to know which one is more versatile.

>> No.5108076

So many conflicting opinions in this thread lmao

>> No.5108113

>>5108067
comp sci

>> No.5108267

>>5106677

I graduated from a top 5 program and I'm getting my PhD now in the same field. Trust me when I say CS is THE way to go. If you got into a good school and have the option to study CS, go for it. All my classmates who graduated had no trouble finding 6 figure jobs right after graduation and are all in their early 20s. Even if you take out loans for college you'd pay them off really quickly.

If you are to do this, make sure to specialize in a CS field. Right now anything with stats is really hot, including AI, Machine Learning, Data Mining and Data Analytics. Not to mention the field of blockchain in CS is going to EXPLODE in the next 5 years.

>> No.5108360

>>5108267
You actually got me hyped af to start studying and getting ahead of the curve on blockchain