Overview

Masters Degree in Statistics

Ph.D. Degree

Admissions Information

Financial Assistance

Course Offerings in Statistics

The Department offers a wide variety of courses in mathematics and statistics at the graduate and undergraduate levels.  Those numbered from 0000 to 0999 are elementary undergraduate courses and carry no graduate credit.  Courses numbered from 1000 to 1999 are at the advanced undergraduate level and are sometimes suitable for graduate credit.  Courses numbered 2000 to 2999 are beginning graduate subjects and normally have 1000 level or equivalent prerequisites.  Those having numbers from 3000 to 39999 are advanced graduate topics and usually have 2000 level prerequisites.

The University academic year is composed of two primary 15-week terms as well as a Summer Term. The first or Fall Term begins late in August, and the Spring Term starts just after the beginning of the new year. Summer Term begins in May and ends in mid-August.  The courses given during this period are often given at an accelerated rate, and the equivalent of 15 weeks is covered in seven and 1/2 weeks.  Most graduate courses are offered during the Fall and Spring terms, and often those offered in the Spring are continuations of Fall term courses.  Ordinarily only one or two courses at most are given at the graduate level during the Summer Term.

University regulations demand that full-time students register for nine credit hours per term but do not specify whether these be formal courses, independent study, directed study, or thesis research. However, the Department requires that full-time master degree candidates complete no less than two formal courses per term. Ph.D. students must complete two formal graduate courses per term until the Ph.D. Comprehensive Exam is passed.  Afterward, the student may take any combination of formal courses, directed study, or thesis research deemed appropriate by his or her dissertation advisor.

In cases when the student's formal course credits total less than nine hours, independent or directed study may be added.  However, these are subject to approval by the Graduate Committee and are rarely allowed for beginning and intermediate students except as outlined for part-time students.  The net effect is that most such students take three formal courses per term.

For part-time students no fixed rate is imposed for accomplishment of the course program.  There is, however, a statute of limitations imposed by the University which is specified in the Bulletin of the Faculty of Arts and Sciences, Graduate Programs.  In general, it is expected that students will adhere to the rates of progress outlined above.  Deviations can be allowed but must be approved by the Graduate Committee.

Undergraduate Courses:

Number				Title				    Credits1151*		Introduction to Probability				31152*		Introduction to Mathematical Statistics			31201		Applied Nonparametic Statistics				31211		Applied Categorical Data Analysis			31221*		Applied Regression					31231*		Applied Experimental Design				31241		Applied Sampling					31251		Statistical Quality Control				31281-1283*	Introduction to Statistical Consulting			Var.1291		Topics in Applied Statistics I				31292		Topics in Applied Statistics II				31293		Topics in Applied Statistics III			31294		Topics in Applied Statistics IV				31301		Statistical Packages					31311		Applied Multivariate Analysis				31321		Applied Time Series					31331		Randomized Trials (New Course)				31341		Modern Statitistical Computing (New Course)		31631		Intermediate Probability				31632		Intermediate Mathematical Statistics			31651		Introduction to Bayesian Statistics			31661		Introduction to Regression				31662		Introduction to Nonlinear Regression			31731**		Stochastic Processes					31741		Applied Probability Theory				31761		Game Theory						31781		Combinatorics						31791		Topics in Probability & Statistics I			31792		Topics in Probability & Statistics II			31793		Topics in Probability & Statistics III			31794		Topics in Probability & Statistics IV			31900*		Internship						Var.1902		Directed Study						Var.

* Not accepted for any graduate degree in statistics** Not accepted for any graduate degree in applied statistics

Graduate Courses:

Number				Title				    Credits	2001		Research and Thesis for MS Degree			Var.2010		Statistics Seminar					12020		Teaching Seminar					12081		Modern Data Analysis for Research Workers		32131		Applied Statistical Methods I				32132		Applied Statistical Methods II				32211		Categorical Data Analysis				32221		Advanced Applied Multivariate Analysis			32231		Advanced Applied Regression				32241		Sampling Theory						32251		Statistical Process Control				32261		Life Testing/Survival Analysis				32281		Principles of Statistical Consulting			32291		Meta-Analysis						32321		Advanced Applied Time Series				32381		Supervised Statistical Consulting			Var.2391		Advances in Applied Statistics I			32392		Advances in Applied Statistics II			32393		Advances in Applied Statistics III			32394		Advances in Applied Statistics IV2401		Methods in Mathematical Statistics			32521		Time Series I						32522		Time Series II						32611		Theory of Multivariate Analysis I			32612		Theory of Multivariate Analysis II			32631		Theory of Statistics I					32632		Theory of Statistics II					32641		Asymptotic Methods in Statistics			32661		Linear Models Theory I					32662		Linear Models Theory II					32691		Nonparametric Theory					32711		Probability Theory I					32712		Probability Theory II					32731		Applied Stochastic Processes I				32732		Applied Stochastic processes II				32751		Reliability Theory I					32752		Reliability Theory II					32991		Independent Study					Var.3001		Research & Dissertation for the Doctor of		Var.		Philosophy Degree3131		Topics in Applied Statistics I				33132		Topics in Applied Statistics II				33133		Topics in Applied Statistics III			33134		Topics in Applied Statistics IV				33141		Topics in Linear Models & Experimental Design I		33142		Topics in Linear Models & Experimental Design II	33261		Counting Processes in Survival Analysis			33341		Advanced Modern Statistical Computing I			33342		Advanced Modern Statistical Computing II		33521		Topics in Time Series I					33522		Topics in Time Series II				33611		Topics in Multivariate Analysis I			33612		Topics in Multivariate Analysis II			33613		Topics in Multivariate Analysis III			33614		Topics in Multivariate Analysis IV			33631		Advanced Theory of Statistics I				33632		Advanced Theory of Statistics II			33691		Topics in Advanced Statistics I				33692		Topics in Advanced Statistics II			33693		Topics in Advanced Statistics III			33694		Topics in Advanced Statistics IV			33711		Topics in Probability Theory I				33712		Topics in Probability Theory II				33731		Topics in Stochastic Processes I			33732		Topics in Stochastic Processes II			33733		Topics in Stochastic Processes III			33734		Topics in Stochastic Processes IV			33751		Topics in Reliability Theory I				33752		Topics in Reliability Theory II				33753		Topics in Reliability Theory III			33754		Topics in Reliability Theory IV				33902		Directed Study						Var.