Statistics at Harvard University

Intro sequences

The shortest canonical route from each entry point to a gateway course.

• 1. STAT 111Introduction to Statistical Inference
  2. STAT 139Introduction to Linear Models
  3. STAT 149Introduction to Generalized Linear Models
  4. STAT 244Linear and Generalized Linear Models
  5. STAT 104Introduction to Quantitative Methods for Economics
  6. STAT 102Introduction to Statistics for Life Sciences
  7. STAT 100Introduction to Statistics and Data Science
• 1. STAT 139Introduction to Linear Models
  2. STAT 111Introduction to Statistical Inference
  3. STAT 149Introduction to Generalized Linear Models
• 1. STAT 149Introduction to Generalized Linear Models
  2. STAT 111Introduction to Statistical Inference
  3. STAT 139Introduction to Linear Models
• 1. STAT 109AData Science 1: Introduction to Data Science
  2. APCOMP 209AData Science 1: Introduction to Data Science
  3. STAT 109BData Science 2: Advanced Topics in Data Science

A suggested order for the 19 courses on the map, built from prerequisite chains and how often each course has run in fall and spring across the last 12 regular terms. It is not the department’s plan, and it is not a promise a course will run. Confirm against the department’s own advising material.

Gateway courses

Each of these unlocks the largest share of downstream work on this map. Courses from other departments can appear here when they genuinely gate STAT coursework.

• STAT 100Introduction to Statistics and Data Scienceopens 2 courses (2 directly)
• STAT 102Introduction to Statistics for Life Sciencesopens 2 courses (2 directly)
• STAT 104Introduction to Quantitative Methods for Economicsopens 2 courses (2 directly)
• APCOMP 209BData Science 2: Advanced Topics in Data Scienceopens 1 course (1 directly)
• STAT 109BData Science 2: Advanced Topics in Data Scienceopens 1 course (1 directly)

The map

Intro tiers at the top, advanced work below; arrows point from a prerequisite to the course it unlocks. Courses from other departments appear where they gate STAT work. Click any course to see what it requires and unlocks without leaving this page; hovering lights up its neighbors. The lists on this page carry the same courses in text form.

Showing the 19 STAT and feeder courses that have prerequisite links. 29 more STAT courses have no recorded prerequisites. They are listed under Tracks below, not drawn as loose dots here.

Tracks

Upper-level clusters, grouped by the gateway that opens them.

The longest ladders

The deepest prerequisite chains in STAT. These are the routes that take the most semesters to climb.

• 4 courses deep, ending at STAT 100

  1. STAT 102Introduction to Statistics for Life Sciences
  2. STAT 100Introduction to Statistics and Data Science

• 3 courses deep, ending at STAT 109B

  1. APCOMP 209BData Science 2: Advanced Topics in Data Science
  2. STAT 109BData Science 2: Advanced Topics in Data Science

• 2 courses deep, ending at STAT 185

  1. MATH 21AMultivariable Calculus
  2. STAT 185Introduction to Unsupervised Learning

• 2 courses deep, ending at STAT 221

  1. STAT 110Introduction to Probability
  2. STAT 221Computational Statistics: Monte Carlo and Optimization

Grade medians

Teaching in Spring 2027

Instructors on STAT sections in Spring 2027, from the registrar's schedule.

• Austern
• Blitzstein
• Glickman
• Janson
• Parmigiani
• Protopapas
• Rader
• Sen
• Sur
• Vu
• Xenakis
• Young

Clubs & organizations

No clubs or organizations on record under STAT yet.

Clubs students here join

Department events

Statistics does not run a page here yet. When it does, its events show up here and on the Harvard campus feed.