Computing & Engineering

Statistics major, explained.

Learn how to reason carefully from data without hiding uncertainty.

Statistics explores how probability, study design, sampling, inference, modeling, computation, and communication turn data into supported conclusions. Students commonly study Probability, Statistical inference, Regression and modeling, Experimental design, and Statistical computing. Programs vary by college, but the field generally combines foundational ideas with applied work so students can investigate meaningful questions, make informed decisions, and communicate what they discover.

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You might enjoy this if

Notice what feels familiar.

You like using data but also question where it came from.

You enjoy mathematics connected to research and real decisions.

You care about uncertainty, bias, and explaining results honestly.

The study experience

What the work may feel like.

Programs differ by college. These labels describe common areas of emphasis, not a score or universal rating.

Reading Central
Writing Frequent
Quantitative work Central
Labs or hands-on work Regular
Design and making Regular
People and collaboration Frequent
Questions you may keep asking

How was the data created and what population can it represent?

Which model or comparison is appropriate for this question?

How certain is the conclusion and how should that uncertainty be communicated?

ProbabilityStatistical inferenceRegression and modelingExperimental designStatistical computing

What can you do with this major?

One major. More than one direction.

These are example connections, not guaranteed outcomes. Many careers welcome more than one major, and some require additional education or licensure.

Statistician

Designs studies and analyzes data to answer questions while accounting for uncertainty.

Biostatistician

Applies statistical methods to health, medicine, biology, and public health research.

Survey Methodologist

Designs samples, questions, and analysis methods for reliable information about populations.

Data Science Analyst

Uses statistical models and computation to find patterns and support evidence-based decisions.

Statistics can support several career directions, and employers may welcome graduates from related fields. Practical experience, internships, projects, and additional credentials can matter alongside the degree.

Try it before college

Projects that make Statistics more real.

Reading helps you understand a field. A Compass project helps you discover whether you enjoy doing the work.

Each project includes a step-by-step plan, custom AI prompts, reflection guidance, and a finished creation for the student’s portfolio. See how Compass works
Compass project 30–56 hours

Turn Messy Data Into a Live Dashboard

Take a spreadsheet no one trusts and turn it into a clean tool people can use to see what is happening now.

You will create
live operational data dashboard
Build this with Compass
Compass project 30–56 hours

Build a Sports Analytics Dashboard

Turn a season of numbers into the few insights a coach or athlete can actually use.

You will create
interactive sports analytics dashboard
Build this with Compass
Compass project 20–40 hours

Become Your Own Health Detective

Track your routines, study your patterns, and discover what affects your energy and well-being.

You will create
Personal Health Dashboard Case Study
Build this with Compass

Keep exploring

Related majors worth comparing.

Sources and important context

Compass presents a curated collection of 100 widely studied and commonly searched undergraduate majors. The collection is not a statistical ranking. Major names and CIP connections follow common US college usage and the NCES Classification of Instructional Programs. Study patterns are editorial summaries of common program structures and vary by college. Career directions are examples, not guaranteed outcomes. Students should compare actual curricula, admission rules, accreditation, and licensing requirements at colleges they are considering.

NCES CIP codes: 27.0501

  • NCES Classification of Instructional ProgramsNational Center for Education Statistics. Official US taxonomy for fields of study and instructional programs.
  • Field of DegreeUS Bureau of Labor Statistics. Federal career exploration resources organized around broad college fields.
  • O*NET OnLineUS Department of Labor. Detailed descriptions of occupations, tasks, knowledge, skills, and work activities.
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