Feb 07, 2023  
Undergraduate Record 2020-2021 
    
Undergraduate Record 2020-2021 [ARCHIVED RECORD]

Statistics


Interdisciplinary Major in Applied Statistics


The Interdisciplinary Major in Applied Statistics provides students with the opportunity to integrate the study of statistics with another quantitatively intensive discipline. Knowledge of statistics is becoming increasingly important in many disciplines, 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 and analyze data, in both their emphasis field and other areas. They will also be well prepared for graduate study in statistics, and with a modest amount of advance planning will be able to complete an MS in Statistics at UVa with one additional year of study. Students interested in the B.A./M.S. program should contact the Department’s major advisor.

The major program has concentrations: Biostatistics, Econometrics, Engineering Statistics, Mathematical Statistics, and Actuarial Finance. The prerequisite for all concentrations: Single variable calculus through the second semester, fulfilled by one of Math 1220, Math 1320, APMA 1110, and an introductory statistics course, fulfilled by one of STAT 1100, STAT 1120, STAT 2020, STAT 2120, or STAT 3120.

Biostatistics Concentration


The Biostatistics concentration is suitable for students using it as a primary major or a second major in conjunction with a major in Biology. Courses required for this concentration are:

One of the following:


One of the following:


Additional courses:


Three elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099) and MATH 4110.

Note: Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

Econometrics Concentration


The Econometrics concentration is suitable for students as a primary major, or will serve well as a second major for students in Economics or Commerce. Courses required for this concentration are:

One of the following:


One of the following:


One of the following:


Additional courses:


Three elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099), ECON 4720, and MATH 4110.

Note: Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

Engineering Statistics Concentration


The engineering statistics concentration is designed for SEAS students who want to have a second major in the College. However, it is also be possible for a College student to opt for this concentration. Courses required for this concentration are:

One of the following:


One of the following:


Additional courses:


Five elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099), ECON 4720, MATH 4110, and SYS 3060.
 

Mathematical Statistics Concentration


The audience for this concentration is College students who would like an applied quantitative major. Courses required for this concentration are:

One of the following:


One of the following:


Additional courses:


Five elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099), and MATH 4110.

Note: Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

Actuarial Finance Concentration


The audience for this concentration is students in actuarial careers or the financial applications of statistical methods. Courses required for this concentration are:

One of the following:


One of the following:


One of the following:


Additional courses:


Three elective courses, each three or more credits. These may be selected from among STAT courses numbered 3000 or higher (except STAT 5000-5099), MATH 4110, and MATH 4140.

It is also recommended that ECON 2010 and ECON 2020 be taken to satisfy VEE requirements in Economics.

Note: Students double majoring may count at most three courses included in another major, so substitutions may be required to bring the total number of courses to nine.

Minor in Data Analytics


The target audience for this minor are students who are interested in learning from data but may have little or no data analysis background.  It requires no prior experience with statistics, computing, or data analysis.  Students completing this minor will gain significant experience with working with data to prepare for analysis, drawing conclusions from data, and communicating conclusions.

Note: This minor has no prerequisites, is analytically focused, has fairly specific requirements, and allows electives from a range of departments.  The elective list is expected to grow as more suitable courses are developed in the College.

Prerequisites: None

Requirements for Minor in Data Analytics


Required Courses:

1. Introduction to data analysis and computing:                                                     

STAT 1601 - Introduction to Data Science with R   with R OR

STAT 1602: Introduction to Data Science with Python   

2. Statistical linear models:                                                                                                      

            STAT 3220: Introduction to Regression Analysis  OR

            ECON 3720: Introduction to Econometrics  

3. Data visualization and management:

            STAT 3280: Data Visualization and Management  OR

            (STAT 4260  AND STAT 4310  )

4. Data Analytics:

            STAT 4220: Applied Analytics for Business  OR

            STAT 4630 - Statistical Machine Learning   

5. Three electives total, selected from the Computational Electives list and the Data Analysis list, with at least one course from each list. 

Computational Electives

Data Analysis Electives

Minor in Statistics


The target audience for this minor are 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.  We expect mostly students majoring in STEM subjects, but it is open to all.

Prerequisites:

  1. Calculus 1 – MATH 1210, MATH 1310, or APMA 1090
  2. Introduction to data analysis and computing:                                                     

STAT 1601: Introduction to Data Science with R  OR

STAT 1602: Introduction to Data Science with Python  OR

(One of STAT 1100, STAT 1120, STAT 2020, STAT 2120, ANTH 4840, PLAD 2222, PSYC 2005, SOC 3130 AND One of CS 1110, CS 1111, CS 1112, CS 1113, PHYS 2660)

Requirements for the Minor in Statistics


Required Courses:

1. Statistical linear modeling:                                                                                                     

STAT 3220: Introduction to Regression Analysis   

2. Statistical Computing:

      STAT 3080: From Data to Knowledge  OR

      STAT 3250: Data Analysis with Python  

3. Three electives total, selected from the Computational Electives list and the Data Analysis list, with at least one course from each list.

Computational Electives

STAT 3080: From Data to Knowledge  

STAT 3240: Programming in Matlab/Mathematica  

STAT 3250: Data Analysis with Python  

STAT 3280: Data Visualization and Management  

STAT 3430: Statistical Computing SAS/R  

STAT 4210: Big Data Tools  

STAT 4260: Databases  

STAT 4310: Data Visualization and Presentation  

 

Data Analysis Electives

STAT 3120: Mathematical Statistics  

STAT 3130: Sample Surveys  

STAT 3480: Nonparametric and Rank-Based Statistics  

STAT 4160: Experimental Design  

STAT 4170: Financial Times Series and Forecasting  

STAT 4220: Applied Analytics for Business  

STAT 4630: Statistical Machine Learning  

STAT 4996: Capstone  

 

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.

Course Descriptions


Note: The entering College student is encouraged to take the introductory course, STAT 1100. This course, entitled Chance, is intended to make students aware of the ubiquity and importance of basic statistics in public policy and everyday life. The course uses a case-study approach based on current chance events reported in daily newspapers and current scientific journals. Credits earned in this course may be counted towards the College’s natural science area requirements. Students are also encouraged to take mathematics courses which serve as prerequisites for higher-level statistics courses.

Graduate Level Courses


The course descriptions for 5000 level and above may be found in the Graduate Record or in the Course Catalog in SIS.