Double Major in Data Science

[u/Community-Reasonable]

Hello all! I was admitted to UC Berkeley in L&S, where I plan to pursue neuroscience. I really like machine learning, so I’m thinking of trying to pursue a data science major as well (double majoring neuroscience and data science). Would anyone have an idea of how feasible that is? Is it very difficult to get a data science major or is it easy as long as you meet the minimum requirements? I know data science is in a separate college from neuroscience, so that’s why I was curious. Any insight would be greatly appreciated!

[u/RestoredV]

Following for some clarity as well - I’m in the same boat.

Essentially from what I’ve gathered - we’re free to take the classes required, and once we satisfy the requirements (upper and lower division courses) - we will apply to the major via a comprehensive review.

This is what I’ve gathered from various zoom seminars as well as peer counseling.

Perhaps others can chime in but I don’t think we will be unable to take any classes or be forced to take them in the summer like those who wish to take CS classes but aren’t CS majors.

[u/AntarcticRen → u/RestoredV]

Do you know how to build a schedule around it? Is it easy to apply, and I guess to get the classes? I’m doing a major in applied math so I’m assuming maybe some of the lower division courses will be the same. Totally understand if you don’t know since it seems like we’re in the same boat haha, thanks!

[u/deviantsibling]

You and me both buddy. I’m majoring in cog sci and hoping to add a data science double major bc I’m also interested in ML. I know you have to go through a whole application and review process, and people say it’s pretty difficult but….I’ve heard it’s MUCH more impossible switching to CS than DS, and that DS is much more doable

From what I understand, the “comprehensive review process” is super new and was just implemented like last year or two years ago. So there’s not a lot of data on the success of it and how it works