Programs Choose Between a PDE or Stat Degree for Financial Maths/Engineering

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The discussion centers on choosing between two conflicting classes—Partial Differential Equations (PDE) and a data analysis/statistics class—while pursuing further education in financial mathematics or financial engineering. The individual seeks advice on which class would better support their career in finance. One viewpoint suggests that if the focus is on banking, the statistics class would be more beneficial. Conversely, if the interest lies in modeling financial markets, PDE is recommended for its emphasis on dynamical systems, which can enhance modeling skills and make candidates more appealing to employers. The consensus leans towards PDE for those aiming for a modeling career in finance.
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I am just trying to seek opinions from professional simply because my maths advisor said he doesn't know much about that field.
I am trying to get into financial maths/financial engineering/computational financial program after my B.S in maths next year.
According to my assumed timetable, I will have class conflict in the coming spring. The classes are PDE and a data analysis class.
Here is the problem. PDE will lead to my Applied Maths degree which that stat class will lead to Stat degree. Which more likely would fit the need of my further education and my finance carrer?

Any thought would be appreciated:!) :!)
 
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If you wanted to go into the banking side, I would advise the stats.

However, it seems you want to go for the modelling side more, eg. of market, in this case, I'd go for the pdes - not that I've seen an economic model described by a pde (they're usually extremely simple ode models) but it will give you greater knowledge of dynamical systems in general which will only help with future modelling (and impressing employers - most probably turn up with knowledge of stats, the dynamical systems stuff will make you stand out).
 
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