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Major Requirements for students who entered Fall 2017 or Spring 2018

Core Requirements

Requirements for the Biometry and Statistics Major for Students Entering the Major in Fall 2017 or Spring 2018

Required courses for all concentrations:

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 Multivariate Calculus  & Linear Algebra
BTRY 3010 or 6010 or equivalent* Biological Statistics or Statistical Methods I, General Statistical Methodology
* including 5 in AP statistics
BTRY 3010 or 6010 or equivalent* Biological Statistics or Statistical Methods I, General Statistical Methodology
* including 4 or better in AP statistics
 
BTRY 3080/STSCI 3080 or ECON 3130 or ORIE 3500 or MATH 4710.  ECON 3110 is not considered a valid alternative. Probability Models and Inference
BTRY 3520/6520 Statistical Computing
BTRY 4030/STSCI 4030 Linear Models with Matrices
BTRY 4090/STSCI 4090 or MATH 4720 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
  CALS SocSci/Humanities 4 Advanced Elective 3/4
  Freshman Writing Seminar 3 CALS SocSci/Humanities 3/4
Junior BTRY 4030 3 BTRY 4090 4
  Advanced Elective 3/4 Advanced Elective 3/4
  CALS SocSci/Humanities 3/4 CALS SocSci/Humanities 3/4
Senior Advanced Elective 3/4      
  CALS SocSci/Humanities 3/4    

Biometry and Statistics Undergraduate Tracks

Required courses for General Statistics concentration:

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

Required courses for the Statistical Genomics concentration:

  • BIOMG 2800 - Lectures in Genetics and Genomics

Two courses from

  • BTRY 4820 - Statistical Genomics: Coalescent Theory and Human Population Genomics
  • BTRY 4830 - Quantitative Genomics and Genetics
  • BTRY 4840 - Computational Genomics
  • BIOMG 4870 - Human Genomics

Plus one more advanced statistics elective.

Required courses for the Actuarial Studies concentration:

Three courses from:

  • BTRY 3090 - Theory of Interest
  • STSCI 4270 - Introduction to Survival Analysis
  • STSCI 4550 - Applied Time Series Analysis
  • AEM 2241 - Finance or ECON 4220 - Financial Economics
  • AEM 4210 - Derivatives and Risk Management or ECON 4240 - Financial Economics, Derivatives, and Risk Management

Plus one more advanced statistics elective from the list below
View further details about the Actuarial Studies concentration

Required courses for the Mathematical Statistics concentration:

  • MATH 3110 - Introduction to Analysis or MATH 4130 - Honors Introduction to Analysis I
  • CS 1110 - Introduction to Computing Using Python/CS 1112 - Introduction to Computing Using MATLAB.

At least one of:

  • MATH 4740 - Stochastic Processes
  • CS 2110 - Object-Oriented Programming and Data Structures.

One additional advanced statistics elective.

Advanced Course List for the Biometry and Statistics Major

Statistics:

Courses Concepts
BTRY 3090 Theory of Interest
BTRY 3100 / ILRST 3100 / STSCI 3100 Statistical Sampling
BTRY 4100 / ILRST 4100 / STSCI 4100 Multivariate Analysis
BTRY 4110 / ILRST 4110 / STSCI 4110 Categorical Data
BTRY 4140 / ILRST 4140 / STSCI 4140 Applied Design
BTRY 4270 / STSCI 4270 Survival Analysis
BTRY 4820 Statistical Genomics
BTRY 4830 Quantitative Genomics and Genetics
BTRY 4840 Computational Genomics
BTRY 4940 Special Topics (as appropriate)
BTRY 6790 / CS 6782 Probabilistic Graphical Models
ILRST 6140 Structural Equations w/ Latent Variables
ILRST 6190 Special Topics in Social Statistics
NTRES 4120 Quantitative Ecology & Management of Fisheries Resources
NTRES 6700 Spatial Statistics
STSCI 4550 / ILRST 4550 / ORIE 5550 Applied Time Series Analysis
STSCI 4740 / ORIE 4740 Data Mining and Machine Learning

Other Advanced Electives:

Courses Concepts
AEM 4210 Futures, Options and Financial Derivatives
BTRY 4810 / BIOMG 4810 Population Genetics
BIOMG 4870 Human Genomics
BIONB 3300 Computational Neuroscience
BIONB 4220 Behavioral Evolution
BTRY 4381 Bioinformatics Programming
CEE 5970 Risk Analysis and Management
COMM 4860 Risk Communication
CS 1110 or CS 1112 Introduction to Computing Using Python/Matlab
CS 2110 Object-Oriented Programming
CS 3220 Scientific Computation
CS 4210 Numerical Analysis
CS 4520 Bioinformatics
CS 4780 Machine Learning
ECON 4020 Game Theory
ENTOM 4610 Model-Based Phylogenetics and Hypothesis Testing
INFO 2950 Mathematical Methods for Information Science
INFO 3300 Data-driven Web Applications
MATH 3110 Introduction to Analysis
MATH 4130 Honors Introduction to Analysis I
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 3510 Stochastic Processes
ORIE 4630 Empirical Finance
ORIE 4742 Information Theory, Probabilistic Modeling, and Deep Learning with Scientific and Financial Applications
VTPMD 6660 Advanced Methods in Epidemiology

Notes:

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