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1. Bachelor's Degree Regulations
2. College of Business
- Accounting
- Economics
- Finance
- Information Systems
- Management
- Management Science and Statistics
- Marketing
3. College of Education
and Human Development
4. College of Engineering
5. College of Liberal and Fine Arts
6. College of Public Policy
7. College of Sciences
8. Honors College
9. School of Architecture
Core Curriculum Courses
Preprofessional Courses of Study in Law,
Medicine, or Business
Appendices
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Prospective Students
Students
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Bachelor
of Science Degree in Statistics
Statistics is a science that deals with principles and
procedures for obtaining and processing information in order to make
decisions in the face of uncertainty. In particular, it deals with
collection, organization, analysis, and interpretation of numerical
information to answer questions in almost every aspect of modern day
life. Statistical methods are used to address complex questions common
in business, government, and science. Employers such as research divisions
in pharmaceutical companies, clinical research units at medical centers,
quality control or reliability departments in manufacturing companies,
corporate planning and financial analysis units, and government agencies
require persons with advance quantitative skills. The Bachelor of
Science Degree in Statistics provides students with access to such
skills preparing them for careers as statistical analysts or for further
graduate academic training. Top
Core Curriculum requirements:
Students seeking the Bachelor of Science Degree in Statistics must
fulfill University Core Curriculum requirements. The courses listed
in the table below satisfy both degree requirements and Core Curriculum
requirements; however, if these courses are taken to satisfy both
requirements, then students will need to take additional courses in
order to meet the minimum number of semester credit hours required
for this degree. For a complete listing of courses that satisfy the
Core Curriculum requirements see pages 9-13 of this catalog. Top
Degree Requirements
A. 31-32 semester credit hours of required courses in
the computational, mathematical, or statistical sciences:
CS 1073 Introductory Computer
Programming for Scientific Applications,
or
CS 1713, 1711
Introduction to Computer Science and Recitation,
or
CS 2073 Computer Programming
with Engineering Applications
MAT 1214 Calculus I
MAT 1223 Calculus II
MAT 2213 Calculus III
MAT 2233 Linear Algebra
MAT 3013 Foundations of Mathematics
MAT 3213 Foundations of Analysis
MAT 4213 Real Analysis I
STA 3513 Probability and Statistics
STA 3523 Statistical Methods
B. 18 semester credit hours in the major:
MAT 3633 Numerical Analysis
STA 3013 Multivariate Analysis for the
Life and Social Sciences
STA 3433 Applied Nonparametric Statistics
STA 4133 Introductory Data Analysis with
Statistical Software
STA 4713 Applied Regression Analysis
STA 4723 Design and Analysis of Experiments
C. 35-36 semester credit hours of electives:
3 semester credit hours of upper-division electives in statistics and
3 additional semester credit hours of upper-division electives in Mathematics,
Statistics, or other ppropriate areas approved by the student's advisor
29-30 semester credit hours of free electives, such as courses in Business,
Health, Engineering, or Psychology where Statistics is actively applied
and properly practiced. Top
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