Description of the Minor
The Minor in Biometry and Statistics is designed to provide students with basic knowledge of statistical techniques and the mathematics necessary to understand and use them. The Minor consists of at least
31 credit hours; students must take the following required courses and one elective course:
Required Courses [each course is 4 cr.]
- BTRY 3010: Biological Statistics I or BTRY 6010: Statistical Methods I, or equivalent
- BTRY 3020: Biological Statistics II or BTRY 6020: Statistical Methods II
- BTRY 4080: Theory of Probability
- BTRY 4090: Theory of Statistics
- MATH 1110: Calculus I
- MATH 1120 or 1220 or 1910: Calculus II
- MATH 1920 or 2130 and 2310, or MATH 2210-2220 or MATH 2230-2240: Linear Algebra and Multivariable Calculus
Elective Courses
- BTRY 3100 / ILRST 3100: Statistical Sampling [4 cr.]
- BTRY 4100 / ILRST 4100: Multivariate Analysis [4 cr.]
- BTRY 4820: Statistical Genomics [4 cr.]
- BTRY 4830: Quantitative Genomics and Genetics [4 cr.]
- BTRY 4840: Computational Genomics [4 cr.]
- BTRY 4940: Special Topics (as appropriate) [1-3 cr.]
- BTRY 6030 / ILRST 4110: Statistical Methods III - Categorical Data [4 cr.]
- BTRY 6040 / ILRST 4100: Statistical Methods IV - Applied Design [4 cr.]
- BTRY 6150: Applied Functional Data Analysiis [3 cr.]
- BTRY 6520: Computationally Intensive Statistical Inference [4 cr.]
- BTRY 6790 / CS 6782: Probabilistic Graphical Models [4 cr.]
- ILRST 6140: Structural Equations w/ Latent Variables [3 cr.}
- ILRST 6190: Special Topics in Social Statistics [3 cr.]
- NTRES 6700: Spatial Statistics [3 cr.]
- ORIE 3510 and 4520: Stochastic Processes [4 cr.]
- ORIE 4740: Statistical Data Mining I [4 cr.]
- ORIE 5550: Applied Times Series Analysis [3 cr.]
