Anonymous wrote:
Anonymous wrote:
Anonymous wrote:
Anonymous wrote:Wouldn't CS be hard to balance as a student athlete at a D1 school? We know D3 is an option but many D3 schools are LACs with focus on liberal arts (i.e. extensive reading/writing). Obviously MIT is D3 but she's not MIT material.
Also, all that aside, is the math department such that it would be fine to major in math there? We keep hearing the math emporium is terrible.
Math majors don't generally take classes at the Emporium. They get actual classes. As I understand it the Emporium is for students that are not in math-heavy majors who have to take a couple classes.
My son majors in Computational Modeling and Data Analytics, a cross-dept major combining CS, math, stats, and has never had a class at the Emporium.
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Do you mind sharing more about this major? What strengths are needed, other than the obvious math strength? Would this fall under engineering or no? Is it a direct admit program?
It is a direct-admit program in the College of Science. It is the undergraduate major in the VT Academy of Data Science and is co-taught by faculty from CS, Statistics, Math. My son is a sophomore right now and says he's having fun this semester because they are finally moving on to doing stuff with all the things they learned in the first year and a half -- CS classes, multivariable calculus, linear algebra, differential equations, statistics. There are CMDA-specific classes that teach the math and stats classes in an integrated way. Now he's in classes like math modeling and data analytics & visualization (and more CS). My son loves math and statistics and would say he's just OK at CS. He's fine with doing the programming to the end goal of playing with the data. He would not want to be a CS major. He finds those classes fairly challenging but says he's not yet had a hard math class at VT.
There are tracks for specialties like biological sciences, cryptography/cybersecurity, economics, geosciences, physics.
They also have an undergraduate research program called Databridge that CMDA majors (and others) can participate in. The students get trained in a variety of analytical tools and then placed in a research project with faculty to help with the data processing, analysis and presentation. My son started that this semester and seems to be a good experience so far and will definitely be a good add to his resume.
Because CMDA is in College of Science not engineering it tends to be overlooked and has a pretty high acceptance rate (>75% last I looked) but I think provides a great mix of skills and has great outcomes for graduates. Also, it's pretty easy for the students to minor in CS.
https://data.science.vt.edu/programs/cmda.html
https://www.databridge.dev/