MS Program Description

1. Prerequisites. Admission to the Statistics graduate program at Rutgers has as prerequisites an undergraduate degree including at least 6 semester-hours of calculus. A course in Linear Algebra is recommended. Acceptance is based on individual considerations. 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 Department of Statistics and Biostatistics, credit for this course may be counted among the thirty credits necessary for graduation.

2. Formal Credit Requirements. M.S. candidates must ordinarily have at least 30 semester-hours of approved graduate credits of which no more than nine may be C's or lower.

3. Language Requirement. No language requirement for M.S. candidates.

4. A Guide for Courses and Electives for M.S. in Applied and Mathematical Statistics.

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 advisor).

5. Research Requirements. The M.S. degree requires the submission of a paper on some topic in statistics. Ordinarily, this will be satisfied by the submission of an acceptable paper done as a course project.

6. Examination Requirements. Upon completion of courses, the M.S. candidate must pass a written examination overviewing 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.