GENERAL REQUIREMENTS FOR AN OPTION-A MINOR IN STATISTICS FOR GRADUATES:

Please carefully read the requirements below. Requests for further information should be addressed to the faculty member acting as minor program advisor in the Department of Statistics.  Note: Candidates for an Option A Minor in statistics must be aware of the Graduate School "Minors" policy.

STATISTICS MINOR OPTION FOR GRADUATES

For admission for an Option A Minor in statistics, the candidate must have had at least one year of calculus, and an introductory knowledge of statistics that is satisfactory to the department. Any of the following (or an equivalent course) is sufficient for this purpose:

STAT 224 Introductory Statistics for Engineers3
STAT 301 Introduction to Statistical Methods3
STAT 302 Accelerated Introduction to Statistical Methods3
STAT 324 Introductory Applied Statistics for Engineers3
STAT 371 Introductory Applied Statistics for the Life Sciences3
STAT/​F&W ECOL/​HORT  571 Statistical Methods for Bioscience I4

Students must take at least four courses acceptable for the minor totaling at least 12 credits. Courses acceptable for the minor are: 

STAT/​MATH  309
STAT/​MATH  310
Introduction to Probability and Mathematical Statistics I
and Introduction to Probability and Mathematical Statistics II
6
STAT/​MATH  310 Introduction to Probability and Mathematical Statistics II3
STAT 311
STAT 312
Introduction to Theory and Methods of Mathematical Statistics I
and Introduction to Theory and Methods of Mathematical Statistics II
6
STAT 312 Introduction to Theory and Methods of Mathematical Statistics II3
STAT 327 Learning a Statistical Language1
STAT 333 Applied Regression Analysis3
STAT 349 Introduction to Time Series3
STAT 351 Introductory Nonparametric Statistics3
STAT 411 An Introduction to Sample Survey Theory and Methods3
STAT 421 Applied Categorical Data Analysis3
STAT/​M E  424 Statistical Experimental Design3
STAT 456 Applied Multivariate Analysis3
STAT 461 Financial Statistics3
STAT/​COMP SCI  471 Introduction to Computational Statistics3
STAT 479 Special Topics in Statistics1-3
STAT/​B M I  542 Introduction to Clinical Trials I3
STAT/​F&W ECOL/​HORT  572 Statistical Methods for Bioscience II4
STAT 575 Statistical Methods for Spatial Data3
STAT 609
STAT 610
Mathematical Statistics I
and Introduction to Statistical Inference
7
STAT 610 Introduction to Statistical Inference4
STAT/​B M I  641 Statistical Methods for Clinical Trials3
STAT 679 Special Topics in Statistics1-3
STAT/​MATH  709 Mathematical Statistics4
STAT/​MATH  710 Mathematical Statistics4
STAT 732 Large Sample Theory of Statistical Inference3
STAT/​B M I  741 Survival Analysis Theory and Methods3
STAT 760 Multivariate Analysis I3
STAT 761 Decision Trees for Multivariate Analysis3
STAT 771 Statistical Computing3
STAT/​ECON/​GEN BUS  775 Introduction to Bayesian Decision and Control I3
STAT/​MATH  803 Experimental Design I3
STAT 809 Non Parametric Statistics3
STAT 811 Sample Survey Theory and Method3
STAT 834 Empirical Processes and Semiparametric Inference1-3
STAT 840 Statistical Model Building and Learning3
STAT 841 Nonparametric Statistics and Machine Learning Methods3
STAT 849 Theory and Application of Regression and Analysis of Variance I3
STAT 850 Theory and Application of Regression and Analysis of Variance II3
STAT 851 Generalized Linear Models3
STAT 860 Estimation of Functions from Data3
STAT/​B M I  877 Statistical Methods for Molecular Biology3
STAT 992 Seminar1-3
A student can include at most one of 309, 609, and 709, and at most one of 310, 610, and 710. The courses taken by a particular student should depend on the student’s major field or individual needs.

Besides these courses, up to three credits from the following list are acceptable for the minor (or some other course in the university of suitable statistical content if approved by the minor program advisor in the Department of Statistics):

MATH/​STAT  431 Introduction to the Theory of Probability3
MATH/​COMP SCI/​STAT  475 Introduction to Combinatorics3
MATH/​I SY E/​OTM/​STAT  632 Introduction to Stochastic Processes3
MATH/​STAT  833 Topics in the Theory of Probability3
COMP SCI/​I SY E/​MATH/​STAT  525 Linear Programming Methods3
COMP SCI/​I SY E/​MATH/​STAT  726 Nonlinear Optimization I3

The student should have a program of study approved by the minor program advisor in the Department of Statistics and the student's major professor, early in the student's graduate work. The proposed program should be submitted to and approved by the minor program advisor in statistics upon, or before, the completion of 6 credits.

The student must achieve a 3.00 GPA in courses used to satisfy the minor requirement.

COURSES IN STATISTICS

Courses in Statistics
For majors in Mathematics & Statistics:
STAT/​MATH  309
STAT/​MATH  310
Introduction to Probability and Mathematical Statistics I
and Introduction to Probability and Mathematical Statistics II
6
For majors in Engineering, & the Natural, Agricultural and Life Sciences:
STAT 311
STAT 312
Introduction to Theory and Methods of Mathematical Statistics I
and Introduction to Theory and Methods of Mathematical Statistics II
6
For all majors:
STAT 327 Learning a Statistical Language1
STAT 333 Applied Regression Analysis3
STAT 349 Introduction to Time Series3
STAT 351 Introductory Nonparametric Statistics3
STAT 411 An Introduction to Sample Survey Theory and Methods3
STAT 421 Applied Categorical Data Analysis3
STAT/​M E  424 Statistical Experimental Design3
STAT 456 Applied Multivariate Analysis3
STAT 461 Financial Statistics3
STAT/​COMP SCI  471 Introduction to Computational Statistics3
STAT 479 Special Topics in Statistics1-3
STAT/​B M I  542 Introduction to Clinical Trials I3
STAT/​F&W ECOL/​HORT  572 Statistical Methods for Bioscience II4
STAT 575 Statistical Methods for Spatial Data3
STAT 609
STAT 610
Mathematical Statistics I
and Introduction to Statistical Inference (MS level)
7
STAT/​B M I  641 Statistical Methods for Clinical Trials3
STAT/​B M I  642 Statistical Methods for Epidemiology3
STAT 679 Special Topics in Statistics1-3
STAT 701 Applied Time Series Analysis, Forecasting and Control I3
STAT/​MATH  709
STAT/​MATH  710
Mathematical Statistics
and Mathematical Statistics (Ph.D. level)
8
STAT 732 Large Sample Theory of Statistical Inference3
STAT/​B M I  741 Survival Analysis Theory and Methods3
STAT 760 Multivariate Analysis I3
STAT 761 Decision Trees for Multivariate Analysis3
STAT 771 Statistical Computing3
STAT/​ECON/​GEN BUS  775 Introduction to Bayesian Decision and Control I3
STAT/​MATH  803 Experimental Design I3
STAT 809 Non Parametric Statistics3
STAT 811 Sample Survey Theory and Method3
STAT 834 Empirical Processes and Semiparametric Inference1-3
STAT 840 Statistical Model Building and Learning3
STAT 841 Nonparametric Statistics and Machine Learning Methods3
STAT 849
STAT 850
Theory and Application of Regression and Analysis of Variance I
and Theory and Application of Regression and Analysis of Variance II
6
STAT 851 Generalized Linear Models3
STAT 860 Estimation of Functions from Data3
STAT/​B M I  877 Statistical Methods for Molecular Biology3
STAT 992 Seminar1-3
Courses Jointly Listed in Statistics & Mathematics or Computer Science
MATH/​STAT  431 Introduction to the Theory of Probability3
MATH/​COMP SCI/​STAT  475 Introduction to Combinatorics3
MATH/​I SY E/​OTM/​STAT  632 Introduction to Stochastic Processes3
STAT/​MATH  733 Theory of Probability I3
MATH/​STAT  734 Theory of Probability II3
MATH/​STAT  833 Topics in the Theory of Probability3
COMP SCI/​I SY E/​MATH/​STAT  525 Linear Programming Methods3
COMP SCI/​I SY E/​MATH/​STAT  726 Nonlinear Optimization I3

Faculty: Professors Y. Wang (chair),  Chappell, Clayton, Keles, Larget, Loh, Newton, Nordheim, Qian, Shao, Tsui, Wahba, Yandell, Yuan, C. Zhang, Z. Zhang, J. Zhu; Associate Professors Ane, S. Wang; Assistant Professors Hanlon, Raskutti, Rohe, A. Zhang