Not too easy. Not too difficult.
Course Overview:
I was a math major who chose the Stats concentration, so I was obligated to take it. As for non-majors looking to enhance their statistical knowledge, it really depends on your math background. I would recommend it if you enjoyed the prerequisite statistics course(s) and are comfortable with calculations and doing some proofs. Also, keep in mind that this course is more theoretical and has fewer real-life/"relatable" examples than the one which follows it.
Course highlights:
I learned about basic set theory and rules of probability, as well as some probability density functions and calculations associated with those. We also covered proofs and derivations for these, and were expected to create counterexamples to statements that involved this foundational knowledge.
Hours per week:
3-5 hours
Advice for students:
Use office hours/free math lab if you can make the timings, and read the text/practice proofs in the examples as it does clarify many things from class. Also, do the homework! Make sure you understand how to approach those problems as well as the ones done in class. When I took the course, attendance was not required, but if it takes extra time for you to understand the material, you should attend so that you can ask questions. For the theory heavy class that this was, practice makes perfect in grasping the material.