<p>A lot of people speak very highly of STEM majors, and rightfully so, since that is where most of the money is. I am not good at math and science. With math especially, I took college preparatory classes and I had to work hard and go for tutoring every week to get decent grades. When I got up to college preparatory calculus, I had no clue what planet the class was on once we started doing related rates and all of that confusing stuff. In high school, I got a low D in calculus and in college I had to withdraw from my calculus class because I was failing miserably.</p>
<p>That being said, what are some technology majors where math isn't the cornerstone of the major. CS is out for sure. But I don't know much about the other majors in the Technology field. Can anyone give me some pointers on some majors I could consider? Thanks in advance :)</p>
<p>Others know more, but I believe the best option you would be looking at is an Information Systems degree. Can someone who knows more about that degree confirm/add to this? Long story short, less programming and math, more tech savvy, designing data management structures and systems.</p>
<p>Take a look at management information systems. Good job prospects, good pay. All of the programs I have seen do require 1 semester of calculus but it is more of an overview of calculus with business applications. It is not as rigorous as the first calculus class for engineers. Here is a sample curriculum.
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<p>A little more info: <a href=“Areas of Study | Rutgers Business School”>http://business.rutgers.edu/undergrad-newark/academic-programs/mis</a></p>
<p>What do you guys think of Information Sciences and Technology? I know penn state offers that major, a cross between computer science and business that focuses on application.</p>
<p>IT is the way to go.</p>
<p>Information Systems/MIS/etc are all computer science without the math. You might have to do a little but of math depending on the school, though. My college requires IS students to take discrete structures, computer data analysis, and data mining. Those require some quantitative thinking.</p>