Bachelor of Arts in Applied Statistics

Notice

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 closed to new students. 


The Bachelor of Arts (B.A.) in Applied Statistics provides students with a solid grounding the field of statistics, with particular attention paid to applications. Knowledge of statistics is becoming increasingly important in many fields, so that students completing this major will have many options available upon graduation.

Students completing this major will be well prepared to design experimental studies, analyze data, and communicate results in a wide range of subject areas. They will also be well prepared to enter MS programs 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.

Students choosing this major have the option of selecting a concentration in one of Finance and Business, Biostatistics, or Data Science.  

Prerequisites to Declare the B.A. in Applied Statistics

  1. Calculus II (one of MATH 1220, MATH 1320, or APMA 1110) 
  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. STAT 3110 (MATH 3100 can also be used when combined with MATH 3350 or MATH 3351)
  5. STAT 3220

AP or transfer credit may be used to satisfy the prerequisites.  A grade of C- or higher is required for prerequisite courses.

Program Requirements: B.A. in Applied Statistics

The B.A. in Applied Statistics requires five core courses and five restricted elective courses. In total the B.A. in Applied Statistics requires 30 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 five restricted elective courses, at least three must be taken from the Data Analysis list. A grade of C- or higher is required for all major courses.

  • STAT 3080: Data to Knowledge
  • STAT 3110: Foundations of Statistics  OR

                   (a)  MATH 3100: Probability   AND
                   (b)  MATH 3350: Applied Linear Algebra OR MATH 3351: Elementary Linear Algebra

  • STAT 3120: Mathematical Statistics
  • STAT 3220: Introduction to Regression Analysis
  • STAT 4996: Capstone
  • Five restricted elective courses, at least three from the Data Analysis list.

The Data Analysis restricted electives and the Computational restricted electives are listed after the optional concentrations below. At most one of the five restricted electives may be drawn from a non-STAT subject code. (This limit on non-STAT courses also applies to the concentrations listed below.)

 

Concentrations

Those declaring the B.A. in Applied Statistics have the option of choosing a major concentration. The concentrations are Finance and Business, Biostatistics, and Data Science. The requirements for these concentrations are given below. The prerequisites to declare any of the concentrations are the same as described earlier.

Finance and Business concentration 

Seven required courses and three restricted elective courses.

  • STAT 3080: Data to Knowledge
  • STAT 3110: Foundations of Statistics  OR             
         (a)  MATH 3100: Probability   AND                 
         (b)  MATH 3350: Applied Linear Algebra OR MATH 3351: Elementary Linear Algebra
  • STAT 3120: Mathematical Statistics
  • STAT 3220: Introduction to Regression Analysis
  • STAT 4996: Capstone
  • STAT 4170: Financial Time Series and Forecasting OR STAT 5170: Applied Time Series
  • STAT 4220: Applied Analytics for Business
  • Three restricted elective courses, at least one from the Data Analysis list and at least one from the Computational list.

 

Biostatistics concentration   

Eight required courses and two restricted elective courses.

  • STAT 3080: Data to Knowledge
  • STAT 3110: Foundations of Statistics  OR

                   (a)  MATH 3100: Probability   AND
                   (b)  MATH 3350: Applied Linear Algebra OR MATH 3351: Elementary Linear Algebra

  • STAT 3120: Mathematical Statistics
  • STAT 3220: Introduction to Regression Analysis
  • STAT 4996: Capstone
  • STAT 3130: Sample Surveys
  • STAT 4160: Experimental Design
  • STAT 3280: Data Visualization and Management
  • Two restricted elective courses, one from the Data Analysis list and the other from the Computational list.

 

Data Science concentration  

Eight required courses and two restricted elective courses.

  • STAT 3080: Data to Knowledge
  • STAT 3110: Foundations of Statistics  OR

                   (a)  MATH 3100: Probability   AND
                   (b)  MATH 3350: Applied Linear Algebra OR MATH 3351: Elementary Linear Algebra

  • STAT 3120: Mathematical Statistics
  • STAT 3220: Introduction to Regression Analysis
  • STAT 4996: Capstone
  • STAT 3250: Data Analysis with Python
  • STAT 3280: Data Visualization and Management
  • STAT 4630: Statistical Machine Learning
  • Two restricted elective courses, at least one from the Data Analysis list.

 

Electives Lists

Data Analysis restricted electives

  • STAT 3130: Sample Surveys
  • STAT 3480: Nonparametric and Rank-­Based Statistics
  • STAT 4120: Applied Linear Models
  • 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
  • ECON 3720: Econometrics
  • ECON 4720: Econometric Methods
  • SOC 5110: Survey Research Methods
  • SYS 4021: Linear Statistical Models

 

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 3280, STAT 4260, ASTR 4140, and CS 4750 will satisfy the major requirements, as these are all versions of a database course.
  • Only one of ECON 3720, ECON 4720, STAT 4120, and SYS 4021 will satisfy the major requirements, as these are all versions of a regression course.