by Charlie Snow
Depending on your goals, the type of math necessary may be different from other career fields. This article gives readers a basic overview of common STEM career fields and the mathematics required for each. Engineering: Despite the many different worlds of engineering (ex. Civic engineering vs chemical engineering), the math skills required are typically the same across the board. Engineering requires an understanding of algebra, linear algebra, multiple levels of calculus, and depending on what the program offers, trigonometry. Like most STEM fields, engineers also require a basic understanding of statistics and probability. Computer Science: Computer science, like engineering, is a very broad field and mathematics requirements will depend on your specific interest or program, however, if you plan on majoring in computer science or IT or becoming a worker in the field, you should have a concrete understanding of algebra, discrete mathematics, calculus, and statistics. Research: Research, or data science, can be done across many fields of interest and as such, the math requirements for particular jobs will be affected by what is being studied. For basic data science, however, one should familiarize themselves with algebra, calculus, and especially statistics. STEM Careers With Basic Math: While there are hardly any jobs out there that require absolutely no math, these next few career paths offer options for STEM oriented students who aren’t crazy about mathematics.
STEM Careers With Advanced Math:
So What are These Mathematical Concepts? Algebra: Algebra, put simply, is mathematics that uses variables (ex. X and Y) to derive unknown variables such as proportions or percentages from mathematical equations. Algebra is divided into five subjects: Elementary Algebra, Advanced Algebra, Abstract Algebra, Linear Algebra, and Commutative Algebra.
Calculus: Calculus has many applications and many branches that have either a wide or narrow application- or both.
Statistics: Statistics is a method of analyzing and interpreting data in mathematical terms. Statistics can be split into two types: Descriptive and Inferential.
https://www.wgu.edu/blog/how-much-math-computer-science-require2110.html#close https://bestaccreditedcolleges.org/articles/careers-and-education/what-math-courses-are-required-for-engineering-majors.html https://www.businessinsider.com/high-paying-jobs-for-people-who-dont-like-math-2016-3#2-pediatrician-21 https://byjus.com/maths/algebra/ https://byjus.com/maths/types-of-statistics/ https://www.calculushowto.com/different-types-of-calculus/
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