Carnegie Mellon University

Statistics

Our core major builds a strong foundation in methods, theory, computation, and practice.

We emphasize modern methods, strong communication skills, and hands-on experience analyzing real data. This is an ideal choice for any student interested in statistical thinking and data science and is tremendous preparation for a career that requires data skills.

Major Requirements

Theory Requirements

Course Topic/Title Course Number Units Prerequisites
Calculus 21-111 and 112, or 21-120 20 or 10
Multivariate Calc/Analysis 21-256, 21-259, or 21-268  9–10 21-112 or 21-120
Linear/Matrix Algebra 21-240, 21-241, or 21-242 10
Probability 36-225, 36-218, 36-219, 21-325, or 15-359  9 various
Statistical Inference 36-226 or 36-326  9 C or higher in 36-225, 36-219, 36-218, 21-325, or 15-359

Data-Analysis Requirements

Course Topic/Title Course Number Units Prerequisites
Beginning Data Analysis 36-200  9
Intermediate Data Analysis 36-202, 36-208, 36-290, or 36-309  9 various
Advanced Elective 36-303, 36-311, 36-315, 36-318, 36-46x, 36-490, 36-493 or 36-497  9 36-202, 36-208, 36-290, or 36-309
Special Topics 36-46x  9 various
Modern Regression 36-401  9 C or higher in 36-226, 36-326, or 36-625 and pass (21-240 or 21-241) and (21-256 or 21-259 or 21-268)
Advanced Methods for Data Analysis 36-402  9 C or higher in 36-401
Concentration Area

This can be fulfilled by four courses or an approved Minor or Additional Major, in another department, that compliment Statistics & Data Science.

Examples of Common Concentrations

• Computer Science
• Humanities Analytics Minor
• Computational Finance
• Computational Biology
• Psychology
• Social and Decision Sciences
• Integrative Design, Arts, and Technology

*This is not an exhaustive list