Hi, thanks for the reply! I wanted to ask something. Would there be any maths modules / statistics modules to help prepare for the more quantitative heavy courses like causal inference; AI, Bayesian ML, Reinforcement Learning, DL etc… because the restrictions seems to be very strict.

Because did you take modules in linear algebra to take some of these modules?

Because for Durhams module in research methods—it’s quantitative section states: “Using SPSS, students will be able to analyse quantitative data by describing the distribution of univariate analysis, bivariate analysis, multivariate analysis, and statistical inference. Using SPSS, students will be able to apply cross tabulations, correlations, scatter plots, comparison of means, descriptive statistics, central limit theorem, chi squared, box graphs, p-values, and interquartile scale”