Math majors do well — they go into data science, statistics, actuarial work, quantitative finance, software engineering, and grad school in economics, statistics, and operations research. The degree builds rigorous analytical thinking that transfers across every quant field. Math + CS or math + economics double majors are among the highest-leverage undergrad paths. Graduate school admissions love math majors.

"Mathematician" the profession is tiny — about 2,200 nationwide, and the role is flat. Most math grads need to pair the degree with a practical skill — programming, statistics software, finance modeling, or teaching certification — to land real jobs. Without applied skills, the math BA is at risk of becoming a research-assistant or tutoring role. Learn to code.

Data science ($125k, +34%) is the top lane — add Python, SQL, ML, and domain knowledge. Quantitative finance and trading can reach $200–500k+ at top firms. Actuarial (SOA/CAS exams) pays $80–180k with a bachelor's + exams. PhD in statistics, economics, or OR opens academic and industry research ($120–250k). Software engineering pays $100–200k+ at top companies — math majors are welcome.

Math is one of the safest majors in the AI transition — the underlying mathematics is the foundation of AI itself. Linear algebra, probability, optimization, and calculus are what AI runs on. Math majors who understand these deeply are in demand for AI research, quant trading, and ML engineering. What's exposed — entry-level routine calculation and tutoring. What grows — AI-adjacent quant work.