.
Applicants may be required to take some preliminary non-graduate courses.
Students are not required to
have taken a formal course in statistical methods; however, students
whose educational background lacks a suitable course in statistical
methods may be required to take 960:484; at the discretion of the
Program of Statistics and Biostatistics, credit for this course
may be counted among the thirty credits necessary for graduation.
Transfer of Credits
Up to 12 credits of such acceptable credits may be permitted to be applied
for the MS degree. This is subject to individual consideration.
Required Courses:
563 Regression Analysis
582 Introduction to Methods and Theory of Probability
583 Methods of Statistical Inference
586 Interpretation of Data I
590 Design of Experiments
Electives:
540-541 Quality Control I and II
542 Life Data Analysis
545 Statistical Practice
553 Categorical Data Analysis
554 Applied Stochastic Processes
555 Nonparametric Statistics
565 Applied Time Series Analysis
567 Applied Multivariate Analysis
575 Acceptance Sampling Theory
576 Survey Sampling
584-585 Biostatistics I and II
587 Interpretation of Data II
588 Data Mining
591 Advanced Design of Experiments
595 Intermediate Probability
Approved graduate courses related to statistics
Note:
(i)
Options in Biostatistics, Data Mining, and Quality and Productivity Management
are also available.
(ii) 580 may be replaced by 582, and credit will only be given for one
of 580 and 582.
(iii) 582 and 583 can be replaced by 592 and 593, respectively.
(iv) Can only have credit for one of 580, 582, 592.
(v) Can only have credit for one of 583, 593.
(vi) Should take 484 or 401 if not taken as an undergraduate.
(vii) Graduate credits will be given for 484 (approval of
graduate adviser).
Research Requirements
The M.S. degree requires the submission
of a . Ordinarily, this will be satisfied
by the submission of an acceptable paper done as a course project.
Upon completion of courses, the M.S. candidate
must pass a written examination covering the basic material of taken
course work. This exam is in two parts, with theory and applications
tested separately. A student may attempt this exam no more than 4 times.