What advanced mathematics should I study for business applications?

AI Thread Summary
Advanced mathematics relevant for business applications includes calculus, statistics, linear algebra, and differential equations. A solid understanding of calculus, particularly multiple variables, is beneficial, while statistics is emphasized as crucial for data analysis and decision-making. Linear algebra aids in various applications, and differential equations are essential for creating mathematical models of real-world phenomena. For finance majors, probability is particularly important, and a calculus-based statistics approach is recommended for deeper understanding. Overall, a strong foundation in these areas will enhance analytical skills in business contexts.
dmehling
Messages
114
Reaction score
0
I am wanting to know what are some of the most relevant branches of advanced mathematics for business applications. I know that for starters I should study calculus and statistics, but beyond these foundational subjects I don't know what else I should study. My current mathematical ability is first semester calculus.
 
Mathematics news on Phys.org
Calculus up through multiple variables is probably of some value. Statistics is certainly of great value. Many of the applications could be made easier with a solid grounding in Linear Algebra. Differential Equations are very valuable for creating mathematical models for patterns and effects from the real world, as would be any classes specifically in Mathematical Modeling. Probably the most important field would be statistics.

It might be helpful if you let people know what particular field of business you're interested in.
 
Probability is HUGE especially if you are a finance major. Calculus based Statistics will help you out a lot as well. Most likely if you are a business major the Stat book will just gloss over how the various distributions actually work and will take a more just know what to plug and chug approach. This does little for actually knowing how these these things work and which one works best for whatever situation you are trying to model.
 
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...
Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Back
Top