Stanford University

Overview

The Statistics Minor at Stanford University offers undergraduate students a well-structured pathway to enhance their statistical reasoning skills alongside their major field of study. This program equips students with essential skills in probability, inference, regression, and data analysis, which are crucial for research and careers that rely on data-driven decision-making.

What you'll study

The Statistics Minor integrates foundational coursework in probability and inference with advanced classes that expand your modeling and data analysis capabilities. Students typically plan their requirements over multiple terms, allowing for a progressive build-up of essential knowledge.

Core/Foundational topics

• Probability and statistical inference
• Statistical methodology and model-based reasoning
• Regression and related modeling approaches

Elective breadth

• Statistical learning and data science
• Sampling and experimental design
• Nonparametric methods
• Multivariate analysis
• Time series analysis
• Causal inference
• Stochastic processes
• Applications in biology, economics, and signal processing

Capstone / final project

Completion of the Statistics Minor does not require a standalone thesis. Instead, students demonstrate their mastery of the minor's learning outcomes through the successful completion of required and elective coursework.

Note: It is advisable to verify the current list of required courses and the number of units needed for the minor based on the latest Stanford Statistics Minor requirements.

Entry requirements

Students typically declare the Statistics Minor after being admitted to Stanford University. Admission to the minor is contingent upon meeting the university's undergraduate eligibility criteria and fulfilling any necessary course prerequisites.

Academic preparation

• Completion of relevant undergraduate mathematics and statistics prerequisites, which may vary based on specific required courses.
• Maintaining good academic standing to enroll in upper-division statistics and probability courses.

English requirements

• International applicants must meet English proficiency requirements as outlined in Stanford's undergraduate admissions policy.

Documents and application

• Coalition Application or Common Application
• Application fee (or fee waiver request)
• School report and counselor letter of recommendation
• Official transcripts
• Letters of recommendation
• Midyear transcript
• Standardized testing: Submission of ACT/SAT scores may be optional, as Stanford reviews applications holistically and does not rely on a single minimum score for admission.

Career prospects

Graduates who complete the Statistics Minor are well-prepared for a variety of career paths that involve data analysis, research, and statistical reasoning. The skills acquired through this program are applicable in diverse fields such as finance, healthcare, technology, and academia, making graduates valuable assets in a data-driven workforce.