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Dec 01, 2024
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Undergraduate Record 2024-2025
Statistics, B.S.
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Return to: College of Arts & Sciences: Degree Programs
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 the 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.S./M.S. program should visit the Department of Statistics website.
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Universal Curriculum Requirements
To be awarded a degree from the College of Arts and Sciences, students are required to complete universal curriculum requirements in addition to the program requirements provided below. The school universal curriculum requirements can be found on the school Degree Programs page .
Program Requirements
The BS in Statistics requires nine core courses and six restricted elective courses. In total the BS in Statistics requires 46 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 prerequisite and major courses.
Prerequisites: 16 - 17 credit hours
Students must have completed all prerequisite courses to declare the major. Students may use AP credit to meet the prerequisite requirements.
Core Courses: 31 credit hours
Restricted Electives: 15 credit hours
The Data Analysis restricted electives and the Computational restricted electives are listed below. Students must take five restricted electives, with at least three from the Data Analysis list. At most two of the five restricted electives may be drawn from a non-STAT pneumonic.
Data Analysis Restricted Electives: Minimum of 9 credit hours
Computational Restricted Electives
Course Duplication Limitations
- Only one of STAT 4630 and STAT 5630 will satisfy the major requirements, as these are both versions of a machine learning course.
- Only one of STAT 4260, ASTR 4140, COMM 3220, and CS 4750 will satisfy the major requirements, as these are all versions of a database course.
Description of Captsone
For the capstone, students will work in teams of 3 or 4 to complete an extensive data analysis project. The students and capstone faculty will work collaboratively to develop a hands-on project for each team to demonstrate knowledge and skill in data analysis, interpretation, and communication. Each project will require the team to determine the nature of the questions of interest; prepare data for analysis; select and perform the appropriate analysis; determine conclusions; and present the results. The capstone project will provide an opportunity to observe how students work through all aspects of a statistical analysis.
Students will be guided and evaluated by the capstone faculty. The capstone experience will culminate with the submission of a final report and a formal presentation. If a student fails the capstone course, the Director of Undergraduate Programs will meet with the student to determine a set of revisions and/or alternative academic activities to complete their project. A student who fails to complete their project may retake the course in a subsequent semester.
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.
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