Hotelling's T-square is simply a special case of MANOVA, in which only two batches are compared (there is a one-sample test as well, but that's not germane to your scenario). So, if you're using SPSS, just run a manova (Analyze/General Linear Model/Multivariate), using sex as the factor (Independent variable) and the measures of interest as the DVs. Good luck with your study.
SPSS will give Hotelling's Trace, and it has to convert to Hotelling's T^2 as follows:
Multiplying Hotelling's Trace by (N - L), where N is the sample size across all groups and L is the number of groups, gives a generalized version of Hotelling's T^2.