One of the graduation options that is always put in the balance by someone who wants to work in the IT area is Computer Science. In fact, it is one of the most complete degrees and one that most broadly addresses the scope of a career in the technology area. It's definitely worth a look.
A Computer Science student will come across very comprehensive subjects during the course. As one of the longest-lasting technology graduates, a trained computer scientist has extensive knowledge of software, hardware, data science, artificial intelligence and many other areas of knowledge.
Job Market for a Computer Scientist
Because the graduation is so comprehensive in the menu item, someone with a degree in Computer Science can work in almost any area related to technology and informatics. It is possible to act as a developer, software architect, software engineer, analyst, support, operational development, and many other areas within the technology industry.
This is perhaps the most positive point of this graduation, being able to act on so many different fronts is excellent for those who are just starting out. Both for internships and fixed vacancies, they are easily filled by early-career computer scientists. A good LinkedIn search will show you how comprehensive a computer scientist's role can be.
How much does a Computer Scientist earn?
At the beginning of his career, as soon as graduated as a Computer Scientist, he can work in any area in the field of technology. The average salary, after graduation, is around $1,200.00 for a beginner. After a few years of experience, this salary already receives a good increase and at the end of the career if the studies in the area continue, it is not uncommon to find salaries around 3 to 5 thousand.
What subjects do they study?
From college to college the menu can vary a little, we always recommend analyzing before taking the entrance exam for a specific institution. However, in general the subjects covered are:
Database
Game Development
Web and Mobile Development
Systems Security and Auditing
Operational systems
Artificial intelligence
Programming languages
Scientific Computing
CG
Data Science
Software Engineering
Statistics and Computational Probability
Data structure
Algorithms and Programming
Computer Architecture and Organization
Discrete Mathematics
Object Oriented Programming
Computer network
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