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Physical Sciences & Math

Statistics & Data Analytics

Making sense of data and uncertainty using rigorous methods.

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Content last reviewed: August 2026

Statistics studies how to collect, analyze, and draw valid conclusions from data under uncertainty, probability theory, statistical inference, and increasingly the computational tools used to work with large datasets. It's more applied and data-focused than a pure math degree.

Coursework mixes theoretical foundations (probability, inference) with hands-on data analysis using software like R or Python, and many programs include a capstone project analyzing a real dataset from start to finish.

Typical courses you might take

  • Probability Theory
  • Statistical Inference
  • Regression Analysis
  • Statistical Computing (R/Python)
  • Experimental Design
  • Applied Data Analysis
  • Linear Algebra
  • Capstone Data Project

Sample four-year plan

Illustrative, not a registration plan

One possible way these courses could be sequenced alongside general education and elective credit. Real programs vary in order, pacing, and prerequisites by school, use this to get a rough sense of the arc, not to plan actual registration.

Year 1 · Fall
  • Probability Theory
  • +General education requirement
Year 1 · Spring
  • Statistical Inference
  • +General education requirement
Year 2 · Fall
  • Regression Analysis
  • +General education requirement
Year 2 · Spring
  • Statistical Computing (R/Python)
  • +Free elective
Year 3 · Fall
  • Experimental Design
  • +Free elective
Year 3 · Spring
  • Applied Data Analysis
  • +Elective in the major (or minor coursework)
Year 4 · Fall
  • Linear Algebra
  • +Elective in the major (or minor coursework)
Year 4 · Spring
  • Capstone Data Project
  • +Capstone, thesis, or culminating project (common in many programs)

Skills you'll build

Statistical modeling and inferenceProgramming for data analysisExperimental designInterpreting and communicating uncertaintyData visualizationCritical evaluation of studies and claimsWorking with real, messy datasets
Explore more majors that build these skills →

This major might be a good fit if you...

  • Enjoys math applied to real, messy data
  • Curious about evidence, uncertainty, and how conclusions are drawn
  • Comfortable with both theory and hands-on computing
  • Interested in research, business analytics, or data-driven fields generally

Common minors & double-major pairings

Data Science · Economics · Computer Science

Roles this major could lead to

Factual, day-to-day descriptions from our Career Role Encyclopedia, not a guarantee this major leads to any specific job.

Frequently asked questions

What is a Statistics & Data Analytics major?

Making sense of data and uncertainty using rigorous methods.

What courses do Statistics & Data Analytics majors take?

Typical coursework includes classes like Probability Theory, Statistical Inference, Regression Analysis, among others, see the full course list above for this major's typical lineup.

What skills do you build in a Statistics & Data Analytics program?

Statistics & Data Analytics coursework typically builds skills like Statistical modeling and inference, Programming for data analysis, Experimental design, Interpreting and communicating uncertainty.

Is Statistics & Data Analytics a good major for me?

It tends to be a good fit if signals like "Enjoys math applied to real, messy data" or "Curious about evidence, uncertainty, and how conclusions are drawn" describe you. See the full "good fit if you..." list above for more.

What can you do with a Statistics & Data Analytics degree?

Majors in this field often go on to roles like Data Analyst, Data Scientist, Actuary. See our Career Role Encyclopedia for more, a major shapes what you study, not a guarantee of any specific job.

What other majors pair well with Statistics & Data Analytics?

Common minor or double-major pairings include Data Science, Economics, Computer Science.

How is Statistics & Data Analytics different from Data Science?

They're related but distinct. Statistics & Data Analytics: Making sense of data and uncertainty using rigorous methods. Data Science: Turning raw data into insight using statistics and code. Use the compare tool to see courses and skills side by side.

How long does it take to earn a Statistics & Data Analytics degree?

Most bachelor's degrees, including this one, are designed to be completed in about four years of full-time study. Exact timing depends on your school, course load, transfer credit, and any changes of major along the way.

From our guides

This overview describes what the field of study typically covers. It's not a guarantee of course availability, job placement, or earnings, program details vary by school. See our disclaimer.

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