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      Students seeking a B.S. degree must earn a minimum of 120 semester hours of degree credit.

In addition to the major requirements, students must also complete the General Education Program (GEP). There are 9 required areas within the GEP; students must fulfill the requirements of each area before graduation. Students may not choose the pass/nonpass (P/N) grading option for courses they wish to use to complete the General Education Program. Courses approved for General Education may be taken P/N only when they are used as elective hours. International students must complete all ESL prerequisites before registering for any rhetoric course.

The undergraduate program in Statistics requires 10 core courses that provide essential instruction in statistical methods, applications, and theory. In addition, students 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 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 is good preparation for graduate study.

Core requirements for the B.S. in Statistics are as follows.

  • 22S:030 Statistical Methods and Computing (3 s.h.)
  • 22S:130-131 Introduction to Mathematical Statistics I-II (6 s.h.) *
  • 22S:152 Applied Linear Regression (3 s.h.)
  • 22S:158 Experimental Design and Analysis (3 s.h.)
  • 22M:025-026 Calculus I-II (8 s.h.)
  • 22M:027 Introduction to Linear Algebra (4 s.h.)
  • 22C:016 Computer Science I (4 s.h.)
  • 171:173 Intermediate Design of Sample Surveys (3 s.h.)

* It is recommended that well-prepared students who elect the Mathematical Statistics track take 22S:153-154 in place of 22S:130-131 to satisfy the core requirement in statistics.

In addition to the core requirements, students take at least four courses in one of the following areas of concentration.


Statistics in Business, Industry, Government and Research
    This one:
  • 171:164 Research Data Management (3 s.h.)
    Three of these:
  • 22S:133 Quality Control (3 s.h.)
  • 22S:138 Bayesian Statistics (3 s.h.)
  • 22S:156 Applied Time Series Analysis (3 s.h.)
  • 22S:161 Applied Multivariate Analysis (3 s.h.)
  • 22S:162 Applied Generalized Regression (3 s.h.)
  • 22S:167 Environmental and Spatial Statistics (3 s.h.)
  • 22S:168 Intermediate Experimental Design (3 s.h.)
  • 22S:173 Statistical Consulting (3 s.h.)
  • 171:174 Longitudinal Data Analysis (3 s.h.)

Here is a sample schedule for completing the B.S. degree requirements for Statistics (Business, Industry, Government and Research).

Year
Fall Semester
Spring Semester
1
22M:025 Calculus I
22M:027 Introduction to Linear Algebra
22S:030 Statistical Methods and Computing
22M:026 Calculus II
2
22S:130 Intro to Mathematical Statistics I
22S:152 Applied Linear Regression
22S:131 Intro to Mathematical Statistics II
22C:016 Computer Science I
3
22S:138 Bayesian Statistics
171:164 Research Data Management
22S:158 Experimental Design and Analysis
22S:162 Applied Generalized Regression
4
171:173 Intermediate Design of Sample Surveys 22S:173 Statistical Consulting


Statistical Computing
    Both of these:
  • 22C:022 Object-Oriented Software Development (4 s.h.)
  • 171:164 Research Data Management (3 s.h.)
    Two of these:
  • 22C:072 Elementary Numerical Analysis (3 s.h.)
  • 22S:138 Bayesian Statistics (3 s.h.)
  • 22S:156 Applied Time Series Analysis (3 s.h.)
  • 22S:161 Applied Multivariate Analysis (3 s.h.)
  • 22S:162 Applied Generalized Regression (3 s.h.)
  • 22S:166 Computing in Statistics (3 s.h.)
  • 22S:167 Environmental and Spatial Statistics (3 s.h.)
  • 22S:168 Intermediate Experimental Design (3 s.h.)
  • 22S:173 Statistical Consulting (3 s.h.)
  • 171:174 Longitudinal Data Analysis (3 s.h.)

Here is a sample schedule for completing the B.S. degree requirements for Statistics (Statistical Computing).

Year Fall Semester Spring Semester
1
22C:016 Computer Science I
22M:025 Calculus I
22S:030 Statistical Methods and Computing
22M:026 Calculus II
2
22S:130 Intro to Mathematical Statistics I
22C:022 Object-Oriented Software Dev
22S:131 Intro to Mathematical Statistics II
22M:027 Introduction to Linear Algebra
3
22S:152 Applied Linear Regression
171:164 Research Data Management
22S:158 Experimental Design and Analysis
4
22S:138 Bayesian Statistics
22S:166 Computing in Statistics
171:173 Intermediate Design of Sample Surveys
22S:173 Statistical Consulting


Mathematical Statistics
    This one:
  • 22M:055 Fund Prop of Spaces and Functions I (3 s.h.)
    One of these:
  • 22M:028 Calculus III (4 s.h.)
  • 22M:056 Fund Prop of Spaces and Functions II (4 s.h.)
    Two of these:
  • 22S:138 Bayesian Statistics (3 s.h.)
  • 22S:153-154 Mathematical Statistics I-II (6 s.h.) *
  • 22S:156 Applied Time Series Analysis (3 s.h.)
  • 22S:161 Applied Multivariate Analysis (3 s.h.)
  • 22S:162 Applied Generalized Regression (3 s.h.)
  • 22S:167 Environmental and Spatial Statistics (3 s.h.)
  • 22S:168 Intermediate Experimental Design (3 s.h.)
  • 22S:173 Statistical Consulting (3 s.h.)
  • 22S:195-196 Probability and Stochastic Processes I-II (6 s.h.)
* If 22S:153-154 are used to satisfy the core requirements, they may not be used to satisfy the emphasis requirement.

Here is a sample schedule for completing the B.S. degree requirements for Statistics (Mathematical Statistics).

Year
Fall Semester
Spring Semester
1
22C:016 Computer Science I
22M:025 Calculus I
22S:030 Statistical Methods and Computing
22M:026 Calculus II
2
22M:027 Introduction to Linear Algebra
22S:152 Applied Linear Regression
22M:028 Calculus III
22M:055 Fund Properties of Spaces and Functions I
3
22S:153 Mathematical Statistics I
171:173 Intermediate Design of Sample Surveys
22S:154 Mathematical Statistics II
22S:158 Experimental Design and Analysis
4
22S:138 Bayesian Statistics 22S:161 Applied Multivariate Analysis

Graduation with Honors in Statistics

Qualified undergraduate students may earn a degree with Honors. Students must obtain an "Application for Graduation with Honors in a CLAS Major or the College of Education" available through the Honors Program web site http://www.uiowa.edu/~honors/ or in 420 Blank Honors Center. The form requires signatures from both the project director and the departmental honors advisor (Professor Kate Cowles for Statistics). Students will be responsible for submitting it to the Honors Program.

To graduate with Honors in Statistics, a student must be a member of the University Honors Program, have a GPA of at least 3.40 in departmental courses required for the major, and complete an honors project or suitable alternative.

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. 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:
three courses in the major, including 22S:030 and 22M:025-026, and at least one-quarter of the semester hours required for graduation.
Before the fifth semester begins:
four courses in the major, including 22S:030 and 22M:025-026, 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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