Hi guys, I recently graduated from UC Santa Barbara with a B.S. in Applied Mathematics, and I'm trying to decide between three Master's programs for this upcoming Fall 2026: Cal Poly Pomona - MS Statistics & Applied Mathematics (Statistics emphasis) CSU Long Beach - MS Applied Statistics (Data Science option) CSU Fullerton - MS Statistics I ultimately want to become a Data Scientist, and I found that: CPP seems to offer a stronger mathematically/statistically grounded foundation with a strong emphasis on modeling, stochastic processes, and statistical projects. CSULB seems more directly aligned with modern applied statistics/data science and machine learning coursework. CSUF seems flexible and overall more like a traditional theoretical stats program, though maybe slightly less specialized than the other two. Now my question is for those already working in statistics/data science/ML: Which of these programs do you think better prepares someone for a long-term DS/ML career?…