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Undergraduate Record 2020-2021 [ARCHIVED RECORD]
Statistics
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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: 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: 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: 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: 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: 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
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:
- Calculus 1 – MATH 1210, MATH 1310, or APMA 1090
- 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)
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.
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