The discussion centers on the varying complexities of mathematical modeling across different fields, specifically contrasting mathematical finance with systems biology and pharmacokinetics. It is established that mathematical finance often requires advanced knowledge, such as a Ph.D. in math or finance, due to its rigorous nature, which emphasizes precision. Conversely, fields like systems biology and pharmacokinetics may only require knowledge up to linear algebra, although some advanced forms in these areas can also necessitate a Ph.D. The term "rigorous" is clarified to mean precision rather than difficulty.
PREREQUISITESMathematicians, finance professionals, biologists, and students interested in understanding the complexities and educational requirements of different mathematical modeling fields.
I think you have quite a wrong idea aobut things. There are many forms of "mathematical finance" that do NOT require a Ph.D. and there are many forms of mathematical biology or pharmacokinetics that might well require a Ph.D.dankshu said:I'm guessing it depends on how many factors/how unpredictable a subject is, what is it really? What makes mathematical finance so rigorous- requiring a phd in math/finance- while something like systems biology or pharmacokinetics only requires knowledge up to linear algebra?