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The Undergraduate Program |
Undergraduate Studies in Statistics |
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The Department of Statistics offers work leading to degrees in theoretical and applied statistics.
At the undergraduate level, the department offers a major in statistics and a major in mathematics-statistics, the latter is offered jointly with the Mathematics Department.
The statistics major requires 24 credits at the 200-level in statistics, including STAT 230 and 231. MATH 215 or 227 and CSE 110 or 130 are strongly recommended. Since STAT 230 has MATH 210 or 230 as a prerequisite, students should begin the calculus sequence as soon as possible.
Students without mathematical background who wish some skill in statistical
methodology should take STAT 110 followed by 201. Students interested in the
statistical analysis of business and economic data should take STAT 100 followed
by 201. Students with the appropriate calculus prerequisite should take STAT 220
rather than STAT 110 or 100 and 201. STAT 242 and 243 are appropriate
continuations for each of these three introductory sequences. Students interested
in statistics as a mathematical discipline should complete STAT 230-231.
Students who complete the requirements for the statistics major will satisfy the
computer technology requirement. To satisfy the information literacy competency
and writing in the major requirement, statistics majors must take the STAT 200
and 202W sequence.
The mathematics-statistics major requires a total of 36 credits at the 200-level in
mathematics and statistics (in addition to MATH 210 or 230), with at least 12
credits in each department. The required courses in the mathematics-statistics
concentration are MATH 215 or 227, and 211 or 221, and STAT 230 and 231.
Students who complete the requirements for the mathematics-statistics major will
satisfy the computer technology requirement. To satisfy the information literacy
competency and writing in the major requirement, mathematics-statistics majors
must take one of the following courses: MATH 201W, 202W, 242W, 292W, or the
STAT 200 and 202W sequence.
A Minor in Statistics is described in the corresponding section. |
Minor in Statistics |
The Department of Statistics offers a minor in Statistics which should be useful to undergraduate majors in different disciplines. The minor in Statistics requires at least 15 credits at the 200 level. Students must choose one of two options:
Track I . Students with three semesters of calculus should take STAT 201, 230, 231, 242 and may choose one course from the "Optional List" shown below.
Track II . Students with one year of calculus must take STAT 201, 220, 242, and two courses from the "Optional List".
Optional List of Statistics Courses: STAT 235, 243, 252, 253, 261, 271, 272, and 280. |
UConn Early College Experience Program |
Please visit the Program website: http://www.ece.uconn.edu
UConn Early College Experience in Statistics Faculty Coordinator: Nalini Ravishanker
- Statistics Program Information
- Past and Upcoming Workshops
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Advance Placement and Credit (AP) |
Various academic deans have approved Advanced Placement Examinations as a basis for granting advanced standing to students at the time of admission. The department teaching the subject matter covered by the test determines whether the student
(1) receives full credit for a specific course, or
(2) may use a specific course in meeting prerequisite requirements for more advanced courses or in fulfilling course requirements for graduation, or
(3) neither of the preceding alternatives.
See Table on Guidelines for Evaluation of CB Advanced Placement Examinations in the Undergraduate Catalog . Students who have a score of 4 or 5 in the AP Statistics Exam may receive credit for STAT 100Q or STAT 110Q.
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Assessment of the Statistics Undergraduate Program |
All Statistics (B.A. or B.S.) majors who expect to complete their
program and graduate in May 2008 should complete an Assessment Project prior to
graduation. This is a University requirement, which the department is
implementing. Please contact Nalini Ravishanker, the Undergraduate
Program Director (CLAS 333; nalini.ravishanker@uconn.edu) for further details.
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