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Major Requirements for students who entered Fall 2011 or Spring 2012

Core Requirements

Requirements for the Biometry and Statistics Major for Students Entering the Major in Fall 2011 or Spring 2012

Required courses for both Statistics concentration and Statistical Genomics concentration:

Courses Concepts
MATH 1110-1120 or 1210-1220 or 1910 Calculus 1 & 2
MATH 2210-2220 or 2230-2240 or 1920&2940 or 2130&2310 Calculus 3 & Linear Algebra
BTRY 3010 or 6010 or equivalent* Biological Statistics or Statistical Methods I, General Statistical Methodology
* including 4 or better in AP statistics
BTRY 3020 or 6020 Biological Statistics or Statistical Methods II, Generalized and Mixed Linear Models
BTRY 3080 or ECON 3130 or ORIE 3500 Probability Models and Inference
BTRY 3520 Statistical Computing
BTRY 4030 Applied Linear Statistical Models via Matrices
BTRY 4090 Theory of Statistics

Typical Time Table:

  Fall Semester Credit
Hours
Spring Semester Credit
Hours
Freshman BTRY 3010/6010 4 BTRY 3020/6020 4
  Calculus 1 4 Calculus 2 4
  Freshman Writing Seminar 3 Freshman Writing Seminar 3
  CALS Physics/LifeSci 3/4 CALS Physics/LifeSci 3/4
  Physical Education 1    
Sophomore BTRY 3080 4 BTRY 3520 4
  Calculus 3 4 Linear Algebra 4
  CS 1112/110 or BEE 1510 4 CALS SocSci/Humanities 3/4
  Freshman Writing Seminar 3 CALS SocSci/Humanities 3/4
Junior BTRY 4030 3 BTRY 4090 4
  Biometry Elective 3/4 Biometry Elective 3/4
  CALS SocSci/Humanities 3/4 CALS SocSci/Humanities 3/4
Senior Biometry Elective 3/4      
  CALS SocSci/Humanities 3/4    

Biometry and Statistics Undergraduate Tracks

Required courses for Statistics concentration:

4 additional Advanced Courses from the list below, including at least 2 courses from the Statistics list

Required courses for Statistical Genomics concentration:

  • BIOMG 2800

2 from

  • BTRY 4820
  • BTRY 4830
  • BTRY 4840
  • BIOMG 4870

plus 1 more Advanced Course from the list below

Advanced Course List for the Biometry and Statistics Major

Statistics:

Courses Concepts
BTRY 3100 / ILRST 3100 / STSCI 3100 Statistical Sampling
BTRY 4100 / ILRST 4100 / STSCI 4100 Multivariate Analysis
BTRY 4820 Statistical Genomics
BTRY 4830 Quantitative Genomics and Genetics
BTRY 4840 Computational Genomics
BTRY 4940 Special Topics (as appropriate)
BTRY 6030 / ILRST 4110 / STSCI 4110 Categorical Data
BTRY 6040 / ILRST 4140 / STSCI 4120 Applied Design
BTRY 6150 Applied Functional Data Analysis
BTRY 6520 Computationally Intensive Statistical Inference
BTRY 6790 / CS 6782 Probabilistic Graphical Models
ILRST 6140 Structural Equations w/ Latent Variables
ILRST 6190 Special Topics in Social Statistics
NTRES 6700 Spatial Statistics
ORIE 3510 and 4520 Stochastic Processes
ORIE 4740 / STSCI 4740 Statistical Data Mining I
ORIE 5550 Applied Time Series Analysis

Other Advanced Electives:

Courses Concepts
BIOMG 4810 Population Genetics
BIOMG 4870 Human Genomics
BIONB 3300 Computational Neuroscience
BIONB 4220 Behavioral Evolution
CS 2110 Object-Oriented Programming
CS 3220 Scientific Computation
CS 4210 Numerical Analysis
CS 4520 Bioinformatics
CS 4780 Machine Learning
ECON 3680 Game Theory
INFO 2950 Mathematical Methods for Information Science
MATH 4240 Wavelets and Fourier Series
MATH 4250 / CS 4210 Numerical Analysis
MATH 4260 / CS 4220 Numerical Analysis
MATH 4410 Combinatorics
MATH 4740 Stochastic Processes
NTRES 4110 Quantitative Ecology & Management of Fisheries Resources
NTRES 4120 Wildlife Population Analysis
ORIE 4630 Empirical Finance

Notes:

  • The faculty advisor has the final say about what is required in each individual situation, and should be consulted if any questions arise.
  • MATH 3113 or MATH 4130-4140 is highly recommended as preparation for graduate studies in Biometry, Biostatistics, or Statistics.
  • BTRY 4980 and 4990 are recommended but cannot be used as required courses for the major.