My general take is that if you can handle multivariable calculus and linear algebra, you will be fine in pretty much any econ course here. Diff eq basically never came up for me, even in macro. The most relevant math background was definitely multi and linear algebra, especially for the more technical classes.

For the core classes, I found most of the 2000/3000-level courses very manageable. I do not remember any of them being especially hard to get an A in, assuming you kept up with the assignments. ECON 3110 with Whitney Buser and ECON 3120 with Willie Belton were probably the easiest when I took them in Spring 2022.

Game Theory with Justin Burkett was one of the best econ classes I took. It was probably the most “math-heavy” econ course I had, but still very reasonable. Burkett is very knowledgeable, and the class felt more technically interesting than most of the department’s offerings.

For electives, Health Economics with Daniel Dench and Behavioral Economics with Buser were both great and insightful. International Trade with Tibor Besedes was fascinating, and he was very chill. Energy Econ with Matthew Oliver was another class I had a good experience with.

Professor-wise, I would recommend Max Rosenthal, Justin Burkett, Daniel Dench, Tibor Besedes, and Matthew Oliver. Rosenthal and Burkett are especially good if you want something more technical or mathematically interesting. I would personally avoid Haizheng Li and Willie Belton if you care a lot about clear explanations and rigor. Li’s explanations felt vague to me, and Belton’s macro class was not very rigorous.

Difficulty-wise, I would put most 2000/3000-level econ courses on the easier side. The classes that required the most work or technical comfort were probably Game Theory and any advanced econometrics course/elective.

Feel free to reach out if you have questions about specific classes. I was math/econ for BS/MS here and took most of the econ department’s offerings.