Is it better to go to undergrad for CS or Applied Math?

Title: Choosing Between Computer Science and Applied Mathematics: A Path Towards AI and ML Careers

Navigating the world of academia, particularly when deciding on a major, can be a daunting task—especially for aspiring professionals in fields as rapidly evolving as Artificial Intelligence (AI) and Machine Learning (ML). A transfer student currently majoring in Computer Science (CS) raises an important question: Is it more beneficial to pursue an undergraduate degree in CS or Applied Mathematics (Math)?

Having received offers from two schools—School A for CS and School B for Applied Math—this student is contemplating the best academic trajectory that aligns with an ultimate goal of working in AI/ML. Insights gathered indicate that a robust foundation in mathematics is essential for careers in these fields. As such, there’s a growing argument in favor of pursuing a Bachelor of Science in Applied Mathematics followed by a Master’s in Computer Science or AI.

Currently, the student has decided to accept admission at School A, where the CS and AI programs are highly ranked. To enhance their preparation, they plan to enroll in as many AI and ML-related classes as possible, alongside statistics courses. Additionally, they aim to pursue a minor in math and eventually join a five-year master’s program to obtain a graduate degree in Computer Science or AI.

However, this decision is complicated by the fact that School B is recognized for having a prestigious reputation, despite its math department being ranked higher than that of School A. The student wonders if a degree in CS with a math minor would provide a competitive edge in the job market, or if the foundation of Applied Mathematics could offer a stronger academic advantage for launching a career in AI.

When facing such decisions, it’s critical to weigh several aspects:

1. Program Reputation: Consider both the rankings and the prestige of the institutions as they relate specifically to your field of interest.

2. Curriculum and Faculty: Look into the courses offered, faculty expertise, and research opportunities at both schools, as these can significantly affect your educational experience and networking potential.

3. Career Goals: Reflect on your career aspirations and how each program aligns with the skills and knowledge required in the AI/ML sector.

4. Opportunities for Networking and Real-World Experience: Investigate internships, partnerships, and alumni networks available through each institution, which can be invaluable for career advancement.

In conclusion, while a degree in Applied Math can provide significant analytical tools important for AI/ML, a robust Computer Science program with complementary coursework in