Math Classes to take in Undergrad for Biostatistics Grad program?

Just wondering what math classes one should take as an Undergrad if they wanted to pursue a Graduate degree in Stats or Bio-statistics. In my second semester, I’m finishing up my calc and Linear Algebra requirements. I’m debating taking Differential Equations but I’m not so sure if it’s useful as it isn’t a required course or a restricted elective to my Stats major. What kinds of courses should I look into taking in the future?

Are you talking about math or statistics classes? If you’re talking about math classes, then three semesters of calculus and a semester of linear algebra is all you really need as a foundation. Differential equations and some advanced analysis classes (like real analysis) can be useful as a foundation but they’re not strictly necessary. I would say diffEQ would be particularly useful if you are interested in applying statistics to finance or economics. If you don’t know what kind of statistics you want to do in the future, it’s not a bad idea to take that course.

If you’re talking about statistics classes in your department, most of the required ones are going to be useful for an MA in statistics: linear regression, the general linear model, probability theory, statistical inference, etc. I would say definitely take at least 2 applied courses that have you using a programming package (R is best, and SAS is good too).

But do realize that most MS programs in biostats and MA programs in statistics don’t actually require a whole lot of math to get admitted. Many of them are designed to allow entry to non-math, non-stats majors and so really only require the calc and linear algebra and encourage the stats/prob classes. For example, Columbia’s MA program:

Preparation for the Statistics M.A. program should include a thorough knowledge of linear algebra (through the level of MATH V2020 at Columbia) and advanced calculus (through the level of MATH V1201). Experience in theoretical or applied probability and statistics is advantageous. Familiarity with computer programming is also helpful.

And you should probably take a semester or two of a programming language even if your department doesn’t require it. Python is a good one.