Three graduate degrees are offered: master's
without thesis (M.Stat.), master's with thesis
(M.A.), and doctoral degree (Ph.D.). Thirty
semester hours of approved course work must
be completed for master level degrees, with
ninety hours required for the doctoral degree.
Course work is expected at the 400 level and
above, but two approved 300 level courses may
be offered. An original thesis with public oral
defense is required for the M.A. and Ph.D.
degrees. Doctoral students must perform
satisfactorily on preliminary and qualifying
examinations.
Graduate Courses Offered
Courses offered by the department range from
foundations, statistical methods, diverse
applications, to advanced topics:
410. Introduction to Statistical Computing &
Regression
420. Quality and Process Control from an
Experimental Design Perspective
421. Introduction to Time Series Analysis
431. Introduction to Mathematical Statistics I
532. Introduction to Mathematical Statistics II
540. Asymptotics
541. Multivariate Analysis
542. Simulation
543. Advanced Topics in Statistical Computing
544. Sampling Theory
545. Generalized Linear Models
546. Design and Analysis of Experiments
550. Nonparametric Functions Estimation
551. Time Series Analysis
552. Applied Stochastic Processes
553. Survival Analysis
554. Robust Methods
555. Topics in Population Dynamics
556. Quality Control and Reliability
557. Bayesian Foundations of Statistical
Inference
581. Mathematical Probability I
582. Mathematical Probability II
583. Introduction to Random Processes and
Applications
584. Estimation Theory
585. Information and Coding Theory
586. Spectral Analysis
590. Independent Study
591. Independent Study
600. Graduate Seminar in Statistics
604. Advanced Economic Statistics
610. Econometrics
611. Applied Econometrics
680.-689. Advanced Topics in Statistics.
800a,b,c. Thesis
Computer Facilities
The Department, the School of Engineering, and
the University computing center offer a wide
range of computing equipment and support.
The department currently offers Sun work
stations to all graduate students for research and
instructional purposes. In addition, advanced
parallel and graphical workstations are available
for specific research projects. These projects
typically involve development of algorithms for
simulation-based estimation and advanced
algorithms for visualization of multivariate
data. In addition, there are generally available
machines in the computer center and visualization
laboratory. Computing is an integral part
of graduate education in the department and the
faculty are committed to maintaining a first-
class computer environment for its students.
