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    University of Virginia
   
 
  Nov 21, 2017
 
 
    
Undergraduate Record 2006-2007 [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 5-year B.A./M.S. program should contact the Department’s major advisor.

The major program has four tracks: Biostatistics, Econometrics, Engineering Statistics, and Mathematical Statistics. The prerequisite for all tracks: Single variable calculus through the second semester, fulfilled by one of Math 122, Math 132, APMA 111.

Track 1: Biostatistics


The Biostatistics track 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 track are:

  • One 300-level or higher course in Biology

Four additional courses from among the following:


 (plus associated one-credit STAT 598 labs)

  • STAT 525 - Longitudinal Data Analysis
  • STAT 526 - Categorical Data Analysis

Track 2: Econometrics


The Econometrics track 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 track are:

Five additional courses from among the following:


(plus associated one-credit STAT 598 labs)

  • STAT 525 - Longitudinal Data Analysis
  • STAT 526 - Categorical Data Analysis

Track 3: Engineering Statistics


The engineering statistics track 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 track. Courses required for this track are:

Two of the following:


  • SYS 360 - Probability Models for Economic and Business Analyses
  • SYS 421 - Data Analysis

Courses to bring the total to eight from among the following:


(not including associated one-credit STAT 598 labs)

  • STAT 525 - Longitudinal Data Analysis
  • STAT 526 - Categorical Data Analysis

Track 4: Mathematical Statistics


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

One of the following:


  • STAT 311 - Applied Statistics and Probability

One of the following:


At least five additional courses from among the following:


 (plus associated one-credit STAT 598 labs)

  • STAT 525 - Longitudinal Data Analysis
  • STAT 526 - Categorical Data Analysis

Minor in Statistics and Data Analysis


The minor in statistics and data analysis is designed to meet the needs of several types of students: the student interested in applying statistics to some other field, the student interested in exploring a future career in biostatistics or applied statistics, the student interested in a career in actuarial statistics, or the mathematically minded student interested in graduate study in statistics.

Requirements for Minor in Statistics and Data Analysis


Five (5) courses selected from: all STAT courses numbered 300 or above, MATH 312 and 511. These five courses must include STAT 512 and, at most, one of MATH 312 or STAT 500.

With consent of the statistics faculty, a student who has had an appropriate introductory statistics course in another department may be exempted from the MATH 312/STAT 500 requirement. Such a student still needs to take five courses from among MATH 511 and all STAT courses numbered 300 or above.

Courses used to satisfy the minor in statistics and data analysis cannot be used to satisfy the requirements of another major. For example, a student who takes MATH 310/312 to satisfy the requirements of the major in mathematics, must take five additional courses from MATH 511 and the STAT courses numbered 300 or above (excluding STAT 500).

Sample Programs


The following are examples of programs for a student intending to pursue the minor in statistics and data analysis:

  • A general program in applied statistics: STAT 500, 512, 513, 516, 313.
  • A general program in biostatistics: STAT 500, 512, 531, 514, 301.
  • An actuarial preparatory program: MATH 312; STAT 512, 519, 540, 541.
  • A program for graduate study in statistics: MATH 312, 511; STAT 512, 513, 519. MATH 351 and 531 are also recommended.

Students should be aware that, except for MATH 312, 511; STAT 500, 512, 513, and 519, all courses for the minor in statistics and data analysis are offered in alternate years. Please consult the department’s Web site for the offering schedule.

Additional Information


For more information contact the Department of Statistics, 131 Kerchof 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 110. 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.

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