Statistics - Minor in Statistics

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The minor in Statistics is for students with some prior experience with statistics and computing who would like a deeper understanding of data and statistics. This minor assumes prior experience with statistics and computing before declaring, allows more student flexibility for a combination of theory and analytics, and includes only STAT courses.

Requirements for Minor in Statistics

Prerequisites

Calculus -

Complete one of the following:
MATH 1210 - A survey of Calculus I Credits: 3
MATH 1310 - Calculus I Credits: 4
APMA 1090 - Single Variable Calculus I Credits: 4
Introduction to data analysis and computing -

Complete one of the following:
STAT 1601 - Introduction to Data Science with R Credits: 3
STAT 1602 - Introduction to Data Science with Python Credits: 3
Complete one of the following:
STAT 1100 - Chance: An Introduction to Statistics Credits: 3
STAT 1120 - Introduction to Statistics Credits: 3
STAT 2020 - Statistics for Biologists Credits: 4
STAT 2120 - Introduction to Statistical Analysis Credits: 4
ANTH 4840 - Quantitative Analysis in Anthropology I Credits: 3
PLAD 2222 - Research Methods Credits: 3
PSYC 2005 - Research Methods and Data Analysis I Credits: 3
SOC 3130 - Introduction to Social Statistics Credits: 4
Complete one of the following:
CS 1110 - Introduction to Programming Credits: 3
CS 1111 - Introduction to Programming Credits: 3
CS 1112 - Introduction to Programming Credits: 3
CS 1113 - Introduction to Programming Credits: 3
PHYS 2660 - Fundamentals of Scientific Computing Credits: 3

Required Courses

Statistical linear modeling -

Complete each of the following:
STAT 3220 - Introduction to Regression Analysis Credits: 3
Statistical Computing -

Complete one of the following:
STAT 3080 - From Data to Knowledge Credits: 3
STAT 3250 - Data Analysis with Python Credits: 3

Elective Courses

Complete three elective courses -

Must select at least one from the Computational Electives list and the Data Analysis list.
Computational Electives
STAT 3080 - From Data to Knowledge Credits: 3
STAT 3240 - Coding in Matlab/Mathematica with Applications Credits: 3
STAT 3250 - Data Analysis with Python Credits: 3
STAT 3280 - Data Visualization and Management Credits: 3
STAT 4210 - Big Data Tools Credits: 3
STAT 4260 - Databases Credits: 3
STAT 4310 - Data Visualization and Presentation Credits: 3
Data Analysis Electives
STAT 3120 - Introduction to Mathematical Statistics Credits: 3
STAT 3130 - Design and Analysis of Sample Surveys Credits: 3
STAT 3480 - Nonparametric and Rank-Based Statistics Credits: 3
STAT 4130 - Applied Multivariate Statistics Credits: 3
STAT 4160 - Experimental Design Credits: 3
STAT 4170 - Financial Time Series and Forecasting Credits: 3
STAT 4220 - Applied Analytics for Business Credits: 3
STAT 4630 - Statistical Machine Learning Credits: 3
STAT 4800 - Advanced Sports Analytics I Credits: 3
STAT 4996 - Capstone Credits: 3

Additional Information

For more information contact the Department of Statistics, 103 Halsey Hall, P.O. Box 400135, Charlottesville, Virginia 22904-4135; (434) 924-3222; www.stat.virginia.edu.