Bachelor of Science in Statistics


The Statistics department is introducing two new majors this fall: a B.A. in Applied Statistics and a B.S. in Statistics. These majors will replace the existing Interdisciplinary Major in Applied Statistics, which is being closed to new students. 

The Bachelor of Science (B.S.) in Statistics provides students with a deep grounding in the field of statistics, both applications and theory. A deep understanding of data analysis and statistics plays a critical role in many aspects of modern society.  Students completing this major will have a wide range of options available upon graduation.

Students completing Bachelor of Science (B.S.) in Statistics will be well prepared to design experimental studies, clean and analyze data, modify existing statistical methods guided by underlying theory, and effectively communicate results to stakeholders. They will also be well prepared to enter graduate programs (M.S. or Ph.D.) in statistics and related fields.  With a modest amount of advance planning students are able to complete an M.S. in Statistics at UVa with one additional year of study. Students interested in the B.A./M.S. program should see this web link.

Prerequisites to Declare the B.S. in Statistics

  1. Calculus II (one of MATH 1320 or APMA 2120)
  2. Introductory Statistics (one of STAT 1100, STAT 1120, STAT 2020, STAT 2120, APMA 3110, APMA 3120).
  3. Introductory Programming (one of STAT 1601, STAT 1602, CS 1110, CS 1111, CS 1112, CS 1113)
  4. MATH 3100
  5. STAT 3220

Students must have completed all prerequisite courses to declare the major. Students may use AP credit to meet prerequisite requirements.

Program Requirements: B.S. in Statistics

The B.S. in Statistics requires nine core courses and six restricted elective courses. In total the B.S. in Statistics requires 45 credit hours, plus prerequisite courses. There are two lists of restricted elective courses, those that focus on data analysis and those that are more computational. Of the six restricted elective courses, at least three must be taken from the Data Analysis list.

  1. STAT 3080: Data to Knowledge
  2. STAT 3220: Introduction to Regression Analysis
  3. STAT 3120: Mathematical Statistics
  4. STAT 4996: Capstone
  5. STAT 4120: Linear Models
  6. STAT 3130: Sample Surveys
  7. MATH 3100: Probability
  8. MATH 3351: Linear Algebra or MATH 3350: Applied Linear Algebra
  9. STAT 4630: Statistical Machine Learning
  10. Six Restricted Electives from the Computational and Data Analysis lists, at least three from the Data Analysis list.


Electives List

Data Analysis restricted electives

  • STAT 3130: Sample Surveys
  • STAT 3480: Nonparametric and Rank-­Based Statistics
  • STAT 4130: Multivariate Statistics
  • STAT 4160: Experimental Design
  • STAT 4170: Financial Times Series and Forecasting
  • STAT 4220: Applied Analytics for Business
  • STAT 4440: Bayesian Statistical Analysis
  • STAT 4630: Statistical Machine Learning
  • STAT 4800: Advanced Sports Analytics I
  • STAT 5140: Survival Analysis and Reliability Theory
  • STAT 5150: Actuarial Statistics
  • STAT 5170: Applied Time Series
  • STAT 5265: Investment Science I
  • STAT 5330: Data Mining
  • STAT 5340: Bootstrap and Other Resampling Methods
  • STAT 5390: Exploratory Data Analysis
  • STAT 5740: Mining Unstructured Data


Computational restricted electives

  • STAT 3240: Programming in Matlab/Mathematica 
  • STAT 3250: Data Analysis with Python
  • STAT 3280: Data Visualization and Management
  • STAT 4210: Big Data Tools
  • STAT 4260: Databases
  • STAT 4310: Data Visualization and Presentation
  • ASTR 4140: Research Methods in Astrophysics
  • COMM 3220: Database Management Systems and Business Intelligence
  • CS 4444: Parallel Computing
  • CS 4740: Cloud Computing 
  • CS 4750: Databases
  • PHYS 5630: Computational Physics I


Course Duplication Limitations

  • Only one of STAT 4170 and STAT 5170 will satisfy the major requirements, as these are both versions of a time series course.
  • Only one of COMM 3220, STAT 4260, STAT 3280, ASTR 4140, and CS 4750 will satisfy the major requirements, as these are all versions of a database course.