I’m currently a high school senior from California and was fortunate to be accepted into several of my top choices for undergrad. I am planning on majoring in computer science and engineering, with a focus on either bioinformatics or machine learning, and hope to pursue an entrepreneurial career path within the tech industry.
I am currently deciding between Princeton, UC Berkeley’s new MET program (EECS + Business), and Columbia (awarded an Egleston Scholarship).
I value Princeton’s small class sizes, undergraduate focus, and abundant research opportunities. The Egleston Scholarship at Columbia definitely makes it attractive to me as well, since it provides faculty mentoring and research stipends. However, I was wondering if the lack of proximity to Silicon Valley for both these schools would be a downside in terms of securing summer internships in the tech industry.
UC Berkeley for me is a very attractive option as well, given the opportunity to pursue a dual degree in EECS and Business Administration as well as its proximity to Silicon Valley (the MET program mentions they would help students secure summer internships in local companies). However, I was concerned about the large class sizes and the harsh grading systems of some classes at Berkeley.
Money should not be a deciding factor for me. What would be your opinions and thoughts on this decision, based on your experiences deciding between these or similar institutions? Are there any other factors I should consider?
Thanks a ton!
(Posted on Berkeley and Columbia threads as well)