Biometry is the application of statistics, mathematics, computing and other quantitative methods to phenomena and problems in the life sciences. Statistics is concerned with many aspects of scientific investigations: developing and studying the design and measurement aspects of investigations, executing investigations and collecting numerical information, summarizing the data obtained, and making inferences from the data.
Students learn how to use statistics, mathematics, computing, and other methods to solve problems in diverse fields, from the life and social sciences to business and finance.
- Academic, biomedical and industrial research
- Theoretical research
- General Business
- Systems analysis
- Data analysis
- Information Technology
- Statistical Computing
- Actuarial Insurance
- Censuses and surveys
What recent graduates are doing
- Actuarial Analysts
- Medical school student
- Statistical Analyst
- Research Analyst
- Sales & Trading Analyst
- Options Trader
- Graduate work in epidemiology, demography, computational biology, biostatistics, and mathematics education
BTRY 4820 Statistical Genomics
This course examines statistical methods of genomic data, emphasizing coalescent theory and molecular population genetics and genomics. Topics include derivation of coalescent theory, tests of natural selection, population structure, and statistical inference, with a focus on the population genomics of human populations.
BTRY 4090 Theory of Statistics
This course presents an introduction to classical theory of parametric statistical inference. Topics include sampling distributions, principles of data reduction, likelihood, parameter estimation, hypothesis testing, interval estimation, and basic asymptotic theory.
STSCI 4740 Data Mining and Machine Learning
This course examines the statistical aspects of data mining, the effective analysis of large datasets. It covers the process of building and interpreting various statistical models appropriate to such problems arising in scientific and business applications.