Math plus computing plus a real-world domain — the analytics combination.

Foundations for Math, Statistics & Analytics Careers

Routes into analytics careers vary by role:

- Most start with a **four-year degree** in math, statistics, data science, or a related field; research roles often add a **graduate degree**.
- **Actuaries** are special: you build the credential by passing a **series of professional exams**, which rewards steady, disciplined study and pays well.

The common thread is that you can demonstrate rigorous quantitative reasoning — through a degree, exams, or a strong body of analytical work.

From four-year degrees to the actuarial exam series.

Degrees, exams, and credentials

Analytics evidence is **analysis other people can inspect**:

- **Models and dashboards** built from real, public datasets.
- **Write-ups** that show your question, method, result, and limitations.
- **Competitions** (like data-science challenges) and internships.

**Try it:** find a free public dataset about something you care about, ask one clear question of it, make a simple chart that answers it, and write two sentences on what you found and what you're unsure about.

Show your analysis, not just your grades.

Evidence: models, dashboards, and competitions

Degrees, professional exams, and evidence.