The Bachelor of Science in Statistics requires a minimum of 120 s.h., including 46 s.h. of work for the major. Students complete 10 core courses that provide essential instruction in statistical methods, applications, and theory. In addition, they concentrate on their particular interest areas by choosing one of the following three emphasis tracks, in which they complete at least four courses. The Statistics in Business, Industry, Government, and Research track emphasizes statistical applications and data analysis. It is appropriate for students interested in careers as applied statisticians. The Statistical Computing track emphasizes statistical applications and requires additional course work in computing. It prepares students for statistical work that requires computing expertise for data management, analysis, and reporting. The Mathematical Statistics track provides a solid foundation in statistical theory and applications. It requires additional course work in mathematics and is good preparation for graduate study in statistics. Students must complete the College of Liberal Arts and Sciences General Education Program. The major in statistics requires the following course work. CORE COURSES All students complete the following. CS:1100 (22C:016) Computer Science I: Fundamentals (4 s.h.) MATH:1850 (22M:025) Calculus I (4 s.h.) MATH:1860 (22M:026) Calculus II (4 s.h.) MATH:2700 (22M:027) Introduction to Linear Algebra (4 s.h.) MATH:2850 (22M:028) Calculus III (4 s.h.) STAT:2010 (22S:030) Statistical Methods and Computing (3 s.h.) STAT:3100 (22S:130) Introduction to Mathematical Statistics I (3 s.h.) STAT:3101 (22S:131) Introduction to Mathematical Statistics II (3 s.h.) STAT:3200 (22S:152) Applied Linear Regression (3 s.h.) STAT:3210 (22S:158) Experimental Design and Analysis (3 s.h.) The department recommends that well-prepared students who elect the Mathematical Statistics track take STAT:4100-4101 (22S:153-154) Mathematical Statistics I-II in place of STAT:3100-3101 (22S:130-131) Introduction to Mathematical Statistics I-II to satisfy these core requirements in statistics. Students in the Mathematical Statistics track may also take MATH:3780 (22M:056) Fundamental Properties of Spaces and Functions II instead of MATH:2850 (22M:028) Calculus III. EMPHASIS TRACKS Students take four courses from one of the following tracks. Statistics in Business, Industry, Government, and Research This one: BIOS:5310 (171:164) Research Data Management (3 s.h.) Three of these: STAT:3620 (22S:133) Quality Control (3 s.h.) STAT:4220 (22S:173) Statistical Consulting (3 s.h.) STAT:4520 (22S:138) Bayesian Statistics (3 s.h.) STAT:6510 (22S:162) Applied Generalized Regression (3 s.h.) STAT:6530 (22S:167) Environmental and Spatial Statistics (3 s.h.) STAT:6540 (22S:161) Applied Multivariate Analysis (3 s.h.) STAT:6550/BIOS:6310 (22S:160/171:174) Introductory Longitudinal Data Analysis (3 s.h.) STAT:6560 (22S:156) Applied Time Series Analysis (3 s.h.) Here is a sample schedule for completing the B.S. degree requirements for Statistics (Business, Industry, Government and Research track). Year Fall Semester Spring Semester 1 Calculus I Calculus II Statistical Methods and Computing 2 Calculus III Introduction to Mathematical Statistics I Applied Linear Regression Introduction to Linear Algebra Introduction to Mathematical Statistics II Computer Science I 3 Bayesian Statistics Research Data Management Experimental Design and Analysis Applied Generalized Regression 4 Quality Control Statistical Consulting Statistical Computing These two: CS:2810 (22C:022) Object-Oriented Software Development (4 s.h.) BIOS:5310 (171:164) Research Data Management (3 s.h.) Two of these: CS:3720 (22C:072) Elementary Numerical Analysis (3 s.h.) STAT:4220 (22S:173) Statistical Consulting (3 s.h.) STAT:4520 (22S:138) Bayesian Statistics (3 s.h.) STAT:5400 (22S:166) Computing in Statistics (3 s.h.) STAT:6510 (22S:162) Applied Generalized Regression (3 s.h.) STAT:6530 (22S:167) Environmental and Spatial Statistics (3 s.h.) STAT:6540 (22S:161) Applied Multivariate Analysis (3 s.h.) STAT:6550/BIOS:6310 (22S:160/171:174) Introductory Longitudinal Data Analysis (3 s.h.) STAT:6560 (22S:156) Applied Time Series Analysis (3 s.h.) Here is a sample schedule for completing the B.S. degree requirements for Statistics (Statistical Computing track). Year Fall Semester Spring Semester 1 Calculus I Computer Science I Calculus II Statistical Methods and Computing 2 Calculus III Introduction to Mathematical Statistics I Object-Oriented Software Development Introduction to Linear Algebra Introduction to Mathematical Statistics II 3 Applied Linear Regression Research Data Management Experimental Design and Analysis 4 Bayesian Statistics Applied Generalized Regression Statistical Consulting Mathematical Statistics This one: MATH:3770 (22M:055) Fundamental Properties of Spaces and Functions I (3 s.h.) Three of these: STAT:4100 (22S:153) Mathematical Statistics I (3 s.h.) STAT:4101 (22S:154) Mathematical Statistics II (3 s.h.) STAT:4220 (22s:173) Statistical Consulting (3 s.h.) STAT:4520 (22S:138) Bayesian Statistics (3 s.h.) STAT:6300 (22S:195) Probability and Stochastic Processes I (3 s.h.) STAT:6301 (22S:196) Probability and Stochastic Processes II (3 s.h.) STAT:6510 (22S:162) Applied Generalized Regression (3 s.h.) STAT:6530 (22S:167) Environmental and Spatial Statistics (3 s.h.) STAT:6540 (22S:161) Applied Multivariate Analysis (3 s.h.) STAT:6560 (22S:156) Applied Time Series Analysis (3 s.h.) If STAT:4100-4101 (22S:153-154) Mathematical Statistics I-II are used to satisfy the core requirements, they may not be used to satisfy the track requirement. Here is a sample schedule for completing the B.S. degree requirements for Statistics (Mathematical Statistics track). Year Fall Semester Spring Semester 1 Calculus I Computer Science I Calculus II Statistical Methods and Computing 2 Introduction to Linear Algebra Applied Linear Regression Calculus III Fundamental Properties of Spaces and Functions I 3 Mathematical Statistics I Applied Generalized Regression Mathematical Statistics II Experimental Design and Analysis 4 Bayesian Statistics Applied Multivariate Analysis Graduation with Honors in Statistics To graduate with honors in Statistics, a student must be a member of the University of Iowa Honors Program, which requires that students maintain a cumulative University of Iowa g.p.a. of at least 3.33 (contact the University of Iowa Honors Program for more information). Honors students in Statistics must have a g.p.a. of at least 3.40 in departmental courses required for the major. They also must complete an honors project or suitable alternative. A Statistics student planning to graduate with honors should contact the Statistics Honors advisor, Prof. Kate Cowles. Four-Year Graduation Plan for the B.S. in Statistics The following checkpoints list the minimum requirements undergraduate students must complete by certain semesters in order to stay on the university's Four-Year Graduation Plan. (Courses in the major are those required to complete the major; they may be offered by departments other than the major department.) Much of the work in the discipline is sequential, so students must begin requirements for the major as soon as possible. Individual study plans must be made carefully. Students who first enroll in a spring semester must consult the department to confirm a four-year plan. Before the third semester begins: at least one-fourth of the semester hours required for graduation. Before the fifth semester begins: at least four courses in the major, including MATH:1850 (22M:025) Calculus I, MATH:1860 (22M:026) Calculus II, and STAT:2010 (22S:030) Statistical Methods and Computing, and at least one-half of the semester hours required for graduation. Before the seventh semester begins: seven or eight courses in the major and at least three-quarters of the semester hours required for graduation. Before the eighth semester begins: nine or ten courses in the major. During the eighth semester: enrollment in all remaining course work in the major, all remaining General Education courses, and a sufficient number of semester hours to graduate.

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