Data Science
What you'll do in college
Data Science and AI sit at the intersection of computer science, statistics, and business logic. Coursework blends Python/SQL, machine learning, deep learning, algorithms, and data wrangling. You'll build recommendation engines, train models on massive messy datasets, and learn the dark art of hyperparameter tuning. It’s highly applied and incredibly fast-paced; half the libraries you learn will be updated or replaced by the time you graduate.
What you'll do after college
Grads become data scientists, machine learning engineers, and AI researchers. Despite the hype of building autonomous AI, a typical day often consists of spending 80% of your time cleaning disastrously messy data and 20% complaining about it. Starting salaries are astronomical, but you must constantly upskill to keep pace with the rapidly evolving tech landscape.
Selectivity vs. earnings
By acceptance rate
By SAT median
Majors in this category
| Major | Colleges | Degrees ▼ | Male/Female | Intl | 5yr Earn |
|---|---|---|---|---|---|
| Data Science | 168 | 3,148 | 63% / 37% | 20% | $73,781 |
| Data Science | 132 | 2,626 | 61% / 39% | 23% | $70,960 |
| Data Analytics | 39 | 229 | 72% / 28% | 10% | |
| Computational Modeling and Data Analytics | 1 | 158 | 77% / 23% | 7% | |
| Data Science and Society | 1 | 110 | 63% / 37% | 9% | $141,136 |
| Data Visualization | 1 | 25 | 84% / 16% | 12% |