## College of Science## Statistics
## OverviewStatistics courses are offered at both the undergraduate and the graduate levels for students preparing for professions in statistics, for students who need statistical tools to engage in scientific research, and for students who want to acquire knowledge of the important concepts of probability and statistical inference. Statistics courses for graduate students and programs leading to the M.S. and Ph.D. degrees in statistics are described in the Graduate Catalog and in a special bulletin available from the department. ## Bachelor of Science in StatisticsThe Statistics major requires the completion of 38 credit hours in Statistics, 16 hours of Mathematics, 3 hours of Computer Science and 3 hours of Technical Writing. Specific requirements can be found on the department website. All statistics majors are required to own specified personal computers and software. Consult the department for details. A special brochure describing the department and the B.S. program, intended for prospective entering freshmen, is available from the department upon request. Cooperative Education and Internship positions are available in industry and government, offering valuable practical experience. Students participating in such an experience can receive academic credit which will count towards graduation requirements. ## Minor in StatisticsRequirements: 18 hours - Completion of an introductory sequence: 3005-3006, 3615-3616 or 4705-4706; Note that 3604 may substitute for 3615 if taken before the minor was declared.
- 4204 or 4214; Note that 4214 can only count for part (2) or (3), not both.
- 6-9 credit hours from 3504, 4004, 4214, 4444, 4504, 4514, 4524, 4534, 4804, Math 4454, or ISE 4404; Note that Econ majors or minors may use Econ 4304 to substitute for Stat 4804.
- 3 hours for part (3) may come from 2004, providing it is the first statistics course taken.
The department reserves the right to withhold credit if a student takes a course, the content of which is partially duplicated in a course already taken (see ## Laboratory for Interdisciplinary Statistical Analysis (LISA)Associated with the statistics department, the Laboratory for Interdisciplinary Statistical Analysis (LISA) provides statistical assistance for research projects throughout the university community. Faculty members, staff, and students are available to aid in statistical design and analysis for any authorized research study here at the university and at other state agencies. ## Satisfactory ProgressUniversity policy requires that students who are making satisfactory progress toward a degree meet minimum criteria toward the Curriculum for Liberal Education (see "Academics"), toward the College of Science Core (see first part of this chapter), and toward the degree in statistics. Satisfactory progress toward the B.S. in Statistics requires that: - Upon having attempted 72 semester credits (including transfer, AP, advanced standing, credit by examination, course withdrawal) majors must have completed the following courses with grades of C- or better: STAT 3005, 3006; MATH 1205, 1206, 1114, 1224, 2224, and not have taken any MATH or STAT designated course for the degree more than twice, including attempts ending in course withdrawal.
- Upon having attempted 90 semester credits, students must have an in-major grade point average of 2.0 or above.
Upon having attempted 70 semester credits (including transfer,
advanced placement, advanced standing, credit by examination, freshman
rule), students must have completed ## Course DuplicationsNo credit will be given for 2004 if taken with or after any other statistics course; MASC 1034, STAT 3604 if taken with or after any statistics course except 2004, 3104. BIT 2405 may not be used as a substitute for credit as a statistics course unless the student was officially registered as a Business major at the time BIT 2405 was taken. ## Computer LiteracyMany statistics courses involve the use of statistics software, primarily MINITAB, SAS, JMP or R. Experience with the software is not expected, but students should have familiarity with either the Windows or Macintosh operating system and have access to a computer. ## Course ProjectsMany of the upper-division courses include a project, generally to be completed in small groups. These projects are designed to give students the kind of insight and experience in realistic statistical practice that cannot be obtained in classroom lectures or short-term homework assignments. ## Undergraduate Courses (STAT)1004: THE FIRST YEAR EXPERIENCE IN LEARNING FROM DATA 2004: INTRODUCTORY STATISTICS 2524: DATA SCIENCE 2964: FIELD STUDY 2974H: INDEPENDENT STUDY 2984: SPECIAL STUDY 3005-3006: STATISTICAL METHODS 3094: SAS PROGRAMMING 3104: PROBABILITY AND DISTRIBUTIONS 3424: INTRODUCTION TO STATISTICAL NEUROSCIENCE AND IMAGE ANALYSIS 3504: NONPARAMETRIC STATISTICS 3604: STATISTICS FOR THE SOCIAL SCIENCES 3615-3616: BIOLOGICAL STATISTICS 3654 (CMDA 3654) (CS 3654): INTRODUCTORY DATA ANALYTICS & VISUALIZATION 3704: STATISTICS FOR ENGINEERING APPLICATIONS 4004: METHODS OF STATISTICAL COMPUTING 4024: COMMUNICATION IN STATISTICAL COLLABORATIONS 4094: INTRODUCTION TO PROGRAMMING IN R 4105-4106: THEORETICAL STATISTICS 4204: EXPERIMENTAL DESIGNS 4214: METHODS OF REGRESSION ANALYSIS 4364: INTRODUCTION TO STATISTICAL GENOMICS 4444: APPLIED BAYESIAN STATISTICS 4504: APPLIED MULTIVARIATE ANALYSIS 4514: CONTINGENCY TABLE ANALYSIS 4524: SAMPLE SURVEY METHODS 4534: APPLIED STATISTICAL TIME SERIES ANALYSIS 4584 (MATH 4584): ADVANCED CALCULUS FOR STATISTICS 4604: STATISTICAL METHODS FOR ENGINEERS 4654 (CMDA 4654) (CS 4654): INTERMEDIATE DATA ANALYTICS AND MACHINE LEARNING 4664 (CMDA 4664): COMPUTATIONAL INTENSIVE STOCHASTIC MODLEING 4705-4706: PROBABILITY AND STATISTICS FOR ENGINEERS 4714: PROBABILITY AND STATISTICS FOR ELECTRICAL ENGINEERS 4804 (AAEC 4804): ELEMENTARY ECONOMETRICS 4964: FIELD STUDY 4974: INDEPENDENT STUDY 4974H: INDEPENDENT STUDY 4984: SPECIAL STUDY 4994: UNDERGRADUATE RESEARCH 4994H: UNDERGRADUATE RESEARCH College of ScienceBiochemistry | Biology | Chemistry | Economics | Geosciences | Mathematics | Physics | Psychology | Statistics |