Computer Information Systems vs Computer Science
As technology continues to advance, the need for professionals who are capable of utilizing and understanding computers continues to grow. This demand creates a strong job market, with excellent pay and exclusive opportunities. However, there are two fields of study when it comes to working with this technology: Computer Information Systems and Computer Science. Both are useful areas of study with in-demand skills, but what are the benefits of each, in comparison to each other? We explore that below.
What is Computer Information Systems?
Computer Information Systems are essentially in charge of coordinating the practical application of technology within any commercial setting, also known as Information Technology (IT). Whether or not a business has a dedicated IT professional, it will undoubtedly make use of a wide variety of Information Systems. The larger the company, however, the more necessary it becomes to have a dedicated IT professional.
Demand for someone with working knowledge of information systems increases as the size (and, extrapolating from there, profit) increases. This places graduates in this field in a unique position to leverage their knowledge to their advantage.
What is Computer Science?
Computer Science, the study of computation, has a rich history of mathematics and theoretical work. Nowadays, however, most of the actual careers that deal with CS involve the creation of tangible hardware and software, with a stronger focus on software. Computer scientists learn how to create and implement programs, and are in demand in industries where the creation, optimization, and implementation of programs is a necessity.
Unlike Computer Information System specialists, their knowledge tends to be more focused. This puts them in an unfavorable position of only being sought after by companies in the technology industry. With specialized work comes job security, however.
How do they benefit you?
On average, IT specialists make a little more per year than Computer Scientists - about $78,000 annually for Computer Information Systems specialists, and roughly $101,000 annually for Computer Scientists and Software Engineers. However, the demand and pay for Computer Scientists vary across the United States, with more technologically inclined areas having higher demand, and more rural areas having far lower. This is made up for by the demand for Computer Scientists being very high where there is any demand at all. Turnover rates tend to be very low, and with job security a mounting concern, this can be seen as an obvious boon.
By contrast, someone with an IT background will have an easier time finding a job in general, as even businesses that do not have a focus on developing technology still utilize it. What’s more, a Computer Information Systems degree is broader in scope, further increasing opportunity and potential for returns.
For those less interested in programming computers and creating software, but still interested in working in the field of technology, Computer Information Systems seems the way to go. If you have a head for numbers and a love of programming, Computer Science is an excellent way to make a living, provided you are alright with moving to a technological hotspot - or maybe, in this new climate, you could work from home?
Related Articles
The History of Computer Science - A Timeline
Dec 03, 2020 by Winston Wagner - Technical author at Boot.dev
Prehistory
Certificates vs Diplomas in Computer Science
Dec 02, 2020 by Zulie Rane - Data analysis and computer science techincal author
When I was looking into getting my first job related to programming, I had no idea what the difference between a certificate and a diploma was. I was terrified that I’d have to go back to school and spend 2-4 years getting a degree in computer science before an employer would even blink in my direction. Unfortunately for me, two degrees in conservation biology aren’t enough to attract any serious coding employers. Then I learned about boot camps, which eased my concerns some, but I didn’t have the time or money to spend on a 15-week program.
Examples of Heuristics in Computer Science
Nov 30, 2020 by Winston Wagner - Technical author at Boot.dev
Heuristics in computer science and artificial intelligence are “rules of thumb” used in algorithms to assist in finding approximate solutions to complex problems. Often, there’s simply too much data to sift through to come to a solution promptly, so a heuristic algorithm is used to trade exactness for speed. However, because heuristics are based on individual rules unique to the problem they are solving, the specifics of the heuristics vary from problem to problem.
Comprehensive Guide to Learn Computer Science Online
Nov 18, 2020 by Lane Wagner - Boot.dev co-founder and backend engineer
Be careful about deciding the best way to learn to code. Not all paths are equally effective. Self-taught developers and bootcamp graduates often struggle a lot to find their first coding job. In my experience, it’s much easier to get your foot in the door when you spend the time learning the CS basics that so many “crash courses” skip over when trying to get students to dive directly into the deep end of application code.