BS in Statistics: Biostatistics Emphasis (59–63 hours*)

Program Requirements    |    View MAP

1. No more than three hours of D credit is allowed in major courses.
2. Complete the following preparation core courses:
   MATH 112 : Calculus 1. (4:5:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   MATH 112 : Calculus 1. (4:5:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 110 and 111 or equivalent.
   DESCRIPTION:	Differential and integral calculus: limits; continuity; the derivative and applications; extrema; the definite integral; fundamental theorem of calculus; L'Hopital's rule.
   NOTE:	Honors also.
   
             : Honors Calculus 1.
   
   
   MATH 113 : Calculus 2. (4:5:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   MATH 113 : Calculus 2. (4:5:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 112 or equivalent.
   DESCRIPTION:	Techniques and applications of integration; sequences, series, convergence tests, power series; parametric equations; polar coordinates.
   NOTE:	Honors also.
   
   
3. Complete one course from the following:
   STAT 221 : Principles of Statistics. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 221 : Principles of Statistics. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su; Independent Study also; Honors also.
   PREREQUISITE:	Math 110 or equivalent.
   DESCRIPTION:	Stemplots, boxplots, histograms, scatterplots; central tendency, variability; confidence intervals and hypothesis testing involving one and two means and proportions; contingency tables, simple linear regression.
   
             : Honors Principles of Statistics.
   
   
   STAT 321 : Elements of Mathematical Statistics. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 321 : Elements of Mathematical Statistics. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   PREREQUISITE:	Math 113 or 119 or equivalent.
   DESCRIPTION:	Probability, random variables, frequency distributions, estimation and tests of hypotheses from a theoretical standpoint.
   
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, Sp
   PREREQUISITE:	Math 113.
   DESCRIPTION:	The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling.
   
   
   STAT 332 : Quality Improvement for Industry. (3:3:1) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 332 : Quality Improvement for Industry. (3:3:1) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 112 or 119.
   DESCRIPTION:	Quality management philosophies (Deming, etc.). Strategies for continuous improvement. Graphical and numerical methods of data analysis. Process control charts. Design and analysis of experiments for process characterization and improvement.
   
   
   
   Note: Students who have passed the AP statistics exam or an introductory statistics course should not take Stat 221.
4. Complete the following statistics core courses:
   STAT 291 : Teaching Elementary Statistics in a Laboratory Setting. (.5:0:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 291 : Teaching Elementary Statistics in a Laboratory Setting. (.5:0:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Su
   PREREQUISITE:	Stat 221.
   DESCRIPTION:	Supervised training and experience in teaching statistical concepts, managing lab experiences, using active learning strategies, and evaluating student performance.
   
   
   STAT 292 : Teaching Elementary Statistics in a Laboratory Setting. (.5:0:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 292 : Teaching Elementary Statistics in a Laboratory Setting. (.5:0:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   PREREQUISITE:	Stat 291.
   DESCRIPTION:	Supervised training and experience in teaching statistical concepts, managing lab experiences, using learning activities, and evaluating student performance.
   
   
   STAT 336 : Statistical Methods 1. (6:3:3) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 336 : Statistical Methods 1. (6:3:3) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W
   PREREQUISITE:	Stat 221, Math 113.
   DESCRIPTION:	Introduction to probability, statistical theory, and linear algebra; fundamentals of computing; simple and multiple linear regression: inference, model building, and diagnostics; weighted least squares; ARIMA models: estimation and forecasting; logistic regression; technical report writing.
   
   
   STAT 337 : Statistical Methods 2. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 337 : Statistical Methods 2. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W
   PREREQUISITE:	Stat 336.
   DESCRIPTION:	Single-factor analysis of variance; multifactor analysis of variance; analysis of factor-level means; diagnostics; analysis of covariance; basic study design; random effects.
   
   
5. Complete the following:
   MATH 313 : Elementary Linear Algebra. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   MATH 313 : Elementary Linear Algebra. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su; Honors also.
   PREREQUISITE:	Math 112 or 119.
   DESCRIPTION:	Linear systems, matrices, vectors and vector spaces, linear transformations, determinants, inner product spaces, eigenvalues, and eigenvectors.
   
   
   MATH 314 : Calculus of Several Variables. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   MATH 314 : Calculus of Several Variables. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Math 113; 313 or concurrent enrollment.
   DESCRIPTION:	Partial differentiation, the Jacobian matrix, and integral theorems of vector calculus.
   
   
   STAT 441 : Statistical Theory 1. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 441 : Statistical Theory 1. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Math 314.
   DESCRIPTION:	Axiomatic probability theory for discrete and continuous random variables; moment-generating functions; conditional probability; stochastic independence; transformations; limiting distributions; stochastic convergence; central limit theorem.
   
   
   STAT 442 : Statistical Theory 2. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 442 : Statistical Theory 2. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Stat 441.
   DESCRIPTION:	Sufficiency and completeness; point and interval estimation; hypothesis testing; Cramer-Rao inequality; some asymptotic results; Bayesian methods.
   
   
6. Complete a minor offered by the College of Life Sciences, or equivalent departmentally approved course work (approximately 14-18 hours).
7. Complete 12 credit hours from the following:
   C S 142 : Introduction to Computer Programming. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   C S 142 : Introduction to Computer Programming. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	Knowledge of algebra.
   DESCRIPTION:	Introduction to object-oriented program design and development. Principles of algorithm formulation and implementation.
   
   
   HLTH 345 : Principles of Epidemiology. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   HLTH 345 : Principles of Epidemiology. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   DESCRIPTION:	Applying analytical tools to study acute and chronic disease to facilitate investigation and control of epidemics.
   
   
   STAT 124 : SAS Certification 1. (1:1:1) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 124 : SAS Certification 1. (1:1:1) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp
   PREREQUISITE:	Stat 221 or equivalent with instructor's consent.
   DESCRIPTION:	SAS basic programming certification.
   
   
   STAT 224 : Statistical Computing 1. (2:2:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 224 : Statistical Computing 1. (2:2:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W
   PREREQUISITE:	Stat 124.
   DESCRIPTION:	Statistical programming using the data step in SAS; basic Procs; Proc MEAN, SORT, TABULATE, SQL, and REPORT; ODS; simple MACROS.
   
   
   STAT 324 : SAS Certification 2. (1:1:1) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 324 : SAS Certification 2. (1:1:1) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F 2nd block; W 2nd block; Sp
   PREREQUISITE:	Stat 224.
   DESCRIPTION:	Advanced SAS programming certification.
   
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 331 : Introduction to Bayesian Statistics. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, Sp
   PREREQUISITE:	Math 113.
   DESCRIPTION:	The scientific method; conditional probability; Bayes' Theorem; conjugate distributions: Beta-binomial, Poisson-gamma, normal-normal; Gibbs sampling.
   
   
   STAT 334 : Methods of Survey Sampling. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 334 : Methods of Survey Sampling. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Stat 221 or equivalent.
   DESCRIPTION:	Sampling frames, questionnaire design; simple random, systematic, stratified, and cluster sampling methods, comparing domain means, contingency table analysis.
   
   
   STAT 424 : Statistical Computing 2. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 424 : Statistical Computing 2. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Stat 324.
   DESCRIPTION:	S Plus, statistical graphics, simulation, advanced SAS (macros, Proc IML, and Proc SQL), and database programming.
   
   
   STAT 431 : Experimental Design. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 431 : Experimental Design. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Stat 337 or 511.
   DESCRIPTION:	Basic designs, power and sample size, Latin squares, incomplete blocks, change-over designs, factorials, fractional factorials, confounding, split-plots, response surface designs.
   
   
   STAT 434 : Advanced Sampling. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 434 : Advanced Sampling. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F even years
   PREREQUISITE:	Stat 334; 421 or 441 or 470 or departmental consent.
   DESCRIPTION:	Estimation in systematic, simple random, stratified, cluster, and PPS sampling and mixtures of these; ratio estimation, sample size determination and principles of sample allocation.
   
   
   STAT 435 : Nonparametric Statistical Methods. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 435 : Nonparametric Statistical Methods. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Stat 337 or 511 or equivalent.
   DESCRIPTION:	Permutation tests, rank-based methods, analysis of contingency tables, bootstrap methods, curve fitting.
   
   
   STAT 466 : Introduction to Reliability. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 466 : Introduction to Reliability. (3:3:2) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Stat 332 or 361; 321 or 421 or 441.
   DESCRIPTION:	Mathematics, distributions, management, and maintenance of basic reliability concepts; collection and analysis of test data; fault tree analysis; applying reliability in various areas.
   
   
   STAT 469 : Applied Time Series and Forecasting. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 469 : Applied Time Series and Forecasting. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Stat 336.
   DESCRIPTION:	Data mining, univariate ARIMA time series theory and application, seasonal models, spatial correlation models, conditional heteroscedastic models in financial time series, case studies.
   
   
   STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 496R : Academic Internship: Statistics. (.5-9:ARR:ARR) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	department coordinator's consent.
   DESCRIPTION:	On-the-job experience or internships for undergraduates. Report is required.
   
   
   STAT 497R : Introduction to Statistical Research. (.5-3:0:6) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 497R : Introduction to Statistical Research. (.5-3:0:6) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F, W, Sp, Su
   PREREQUISITE:	department chair's consent.
   DESCRIPTION:	Review of current literature and survey of present status of significant statistical research; collaborative work between student and faculty.
   
   
   STAT 535 : Applied Linear Models. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 535 : Applied Linear Models. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	F
   PREREQUISITE:	Departmental consent.
   DESCRIPTION:	Theory of estimation and testing in linear models. Analysis of full-rank model, over-parameterized model, cell-means model, unequal subclass frequencies, and missing and fused cells. Estimability issues, diagnostics.
   
   
   STAT 536 : Modern Regression Methods. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 536 : Modern Regression Methods. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Stat 535, 624; or departmental consent.
   DESCRIPTION:	Weighted least squares, measurement error models, robust regression, nonlinear regression, local regression, generalized additive models, tree-structured regression.
   
   
   STAT 538 : Survival Analysis. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 538 : Survival Analysis. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Stat 441 or equivalent.
   DESCRIPTION:	Basic concepts of survival analysis; hazard functions; types of censoring; Kaplan-Meier estimates; Logrank tests; proportional hazard models; examples drawn from clinical and epidemiological literature.
   
   
   STAT 545 : Stochastic Processes. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 545 : Stochastic Processes. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   OFFERED:	W
   PREREQUISITE:	Stat 441 or 470 or equivalent.
   DESCRIPTION:	Conditional expectation and probabilities; Markov chains; solutions using time-reversible chains; modeling using hidden Markov chains; exponential waiting times; Poisson processes; Brownian motion with approximations.
   
   
   STAT 566 : Exploratory Multivariate Methods. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   STAT 566 : Exploratory Multivariate Methods. (3:3:0) (Credit Hours:Lecture Hours:Lab Hours)
   
   PREREQUISITE:	Stat 337 or 512 or instructor's consent.
   DESCRIPTION:	Exploratory data analysis; multivariate visualization; dynamic graphics; inference for mean vectors; multivariate regression; principal component analysis; cluster analysis; classification analysis; multi-dimensional scaling; correspondence analysis; bi-plots.
   
   

Recommended Courses

It is recommended that students take Stat 224, 431. Students planning graduate studies should also take Math 341, 342. (See Mathematics section for prerequisites.)

*Hours include courses that may fulfill university core requirements.

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