One the introduction level it is mostly statistics like mean, mode, std dev etc... there's also a fair amount of probability and quadratics involved, possibly basic regression if you get lucky.
Intermediate level introduces regression analysis, diagnostics, hypothesis testing, confidence intervals, basic matrix theory.
Advance level is basically enumerated all in the form of matrix algebra, you'll do more advance models of analysing trends - maximum likelihood estimators, tobit models for cross section data, GARCH & ARCH models for time series and fixed & random effects models for panal data. There's usually a few more added models like TYRM to add more spice.
Umm... it doesn't really matter what level of maths you have, it helps to have 3 u or 4 u i suppose, but I got through with only general maths (scored Ds for intro & intermediate, ended a HD for advance level metrics). The work is designed so that everyone starts off at the same level.