Bachelor of Science in Mathematical Statistics
What is Mathematical Statistics?
The B.S. degree in Mathematical Statistics is intended to give the student rigorous training in the methods, mathematical foundations and applications of Statistics. "Mathematical Statistician" is a defined job title in the Federal Government that carries a higher average salary than the simple "Statistician" title. The B.S. degree prepares the candidate for a career as a statistician in a broad range of business, industrial, engineering, governmental and educational settings.
Students in the Mathematical Statistics program must complete the General Education requirements of Ohio University and the requirements for the College of Arts and Sciences.
Major Requirements
- Required Courses (44 credits):
- MATH 263A,B,C,D - Calculus (or MATH 266A,B and MATH 263C,D)
- MATH 211 - Linear Algebra (or MATH 410 Matrix Theory)
- MATH 308 - Discrete Mathematics
- MATH 350 - Probability
- MATH 450A,B,C - Theory of Statistics
- MATH 452 - Statistical Computing
- Applied Statistics Electives (9-12 credits)
Choose 3 with at least 2 from the 300-level or above:
- MATH 251 - Introduction to Probability and Statistics II
- MATH 455 - Basic Principles of Actuarial Science
- MATH 456 - Theory of Interest and Life Contingencies
- ECON 381 - Introduction to Economic Statistics and Econometrics
- ECON 485 - Applied Economic Methodology
- EE 371 - Applied Probability and Statistics for Electrical Engineers
- GEOG 271 - Introduction to Statistics in Geography
- GEOG 471 - Quantitative Methods
- GEOL 205 - Statistical Methods in Geology
- ISE 306 - Engineering Statistics
- ISE 316 - Engineering Probability
- ISE 407 - Intro to Design of Experiments
- ISE 412 - Principles of Six Sigma
- ISE 435 - Quality Control and Reliability
- PBIO 415 - Quantitative Methods in Plant Biology
- PSY 221 - Statistics for the Behavioral Sciences
- PSY 321 - Advanced Statistics for the Behavioral Sciences
- QBA 201 - Introduction to Business Statistics
- QBA 371 - Statistical Analysis of Data
- QBA 438 - Nonparametric Statistics
- QBA 461 - Bayesian Statistics
- SOC 450 - Data Analysis
Total credit hours 53-56.
A well-qualified incoming student would take MATH 263A-C and 211 during the freshman year, 263D, 308 and 350 in the sophomore year, 450A-C and 452 in the junior year and applied electives in the senior year. Students who enter the program later or who are pursuing dual majors could take 450A-C and 452 in their senior year and still complete the major.
Students planning to enter a graduate program in Statistics or other Mathematical Sciences are encouraged to also take as many of the following as time allows:
- MATH 340 - Differential Equations
- MATH 411 - Linear Algebra
- MATH 451 - Stochastic Processes
- MATH 470 - Complex Variables
- MATH 460 - Advanced Calculus
Remarks:
- Typical courses are 4 credits and run one 10-week quarter.
- See the Classes page for descriptions of the Mathematics courses.
