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Graduate Program Content

Academics

MS Typical Plans

Plan of Study for a Full Time MS Student

The programs presented below are the quickest programs to the various MS options, based on option desired and term of entry. Students may elect a slower program by taking fewer courses each term. Students required to maintain full-time status The accelerated programs below come with some loss in choice of electives.

For students pursuing either none of the options, or pursuing the Biostatistics Option

For students entering in the Fall

Fall Spring Fall
590 585 584
582 583 Elective
586   Elective
563 542  

Notes:

  • For Students not pursuing the Biostatistics Option, 542, 584, and 585 may be replaced by any elective.

For students entering in the Spring

Spring Summer Fall
585 583 584
590 580 *
586   553
563   555*

Notes:

  • For Students not pursuing the Biostatistics Option, 542, 584, and 585 may be replaced by any elective.
  • Students are free not to take courses during the summer; in this case, the course of study will extend into the following fall.
  • The course 585, Biostatistics II, may be taken before 584, Biostatistics I.
  • The asterisk in Fall semester represents an elective. The required courses for fall force this elective to be taken on Tuesday. Our current standard schedule does not include an appropriate elective on Tuesday. Please contact the graduate director to select an appropriate replacement.

For students entering in the Summer

Summer Fall Spring
580 584 585
590 * 583
  586 Elective
  563 542

Notes:

  • For Students not pursuing the Biostatistics Option, 542, 584, and 585 may be replaced by any elective.
  • The asterisk in Fall semester represents an elective. The required courses for fall force this elective to be taken on Tuesday. Our current standard schedule does not include an appropriate elective on Tuesday. Please contact the graduate director to select an appropriate replacement.

For students pursuing the Quality and Productivity Option

For students entering in the Fall

Fall Spring Fall
590 540 591
582 583  
540:585 586  
563 542 540:580

Notes:

  • This option may not be completed in two semesters and one summer, after starting in the fall, since it requires 591, which has 590 as a prerequisite, and 591 is offered only in the fall.

For students entering in the Spring

Spring Fall Spring
580 591 540
590   583
  540:585 586
  540:580 542

Notes:

  • This option may not be completed in two semesters and one summer, after starting in the spring, since it requires 542, which is itself requires 563.

For students entering in the Summer

Summer Fall Spring
  591 540
590 582 583
563 540:585 586
  540:580 542

For students pursuing the Data Mining Option

For students entering in the Fall

Fall Spring Fall
198:512 587 583
582 567 588
586 198:536 Elective
563    

Notes:

  • This option may not be completed in two semesters and one summer, since 588 may not be taken until the third term in the program, and 588 is not offered during the summer.
  • Unlike most courses listed on this page, 198:512 during Fall semester is offered during the day.

For students entering in the Spring

Spring Fall Spring Fall
563 583 587  
580 586 567 588
Elective 198:512 198:536  

Notes:

  • This option may not be completed in three semesters, after starting in the spring, since it requires 588, which is itself requires 567. 567 is only offered in the spring, and may not be taken during the first semester in the program.
  • Unlike most courses listed on this page, 198:512 during Fall semester is offered during the day.

For students entering in the Summer

Entry during the summer will result in a program similar to that for those entering in the Fall.

 

 

MS Options

Optional Curricula for the MS in Statistics

Students may complete one of the three optional curricula as part of their MS program. May also choose to do none of these options. The notes on the MS degree also apply.

Option in Quality and Productivity Management

Eight required core courses in Statistics:
1. Regression Analysis (960:563)
2. Basic Probability (960:580) or Introduction to Methods and Theory of Probability (960:582)
3. Methods of Statistical Inference (960:583)
4. Interpretation of Data I (960:586)
5. Design of Experiments (960:590)
6. Advanced Design of Experiments (960:591)
7. Statistical Quality Control I (960:540)
8. Life Data Analysis (960:542)

Two required courses in Industrial Engineering:
9. Systems Reliability Engineering I (540:585)
10. Quality Management (540:580)

Option in Biostatistics

Eight required courses:
1. Regression Analysis (960:563)
2. Basic Probability (960:580) or Introduction to Methods and Theory of Probability (960:582)
3. Methods of Statistical Inference (960:583)
4. Interpretation of Data I (960:586)
5. Design of Experiments (960:590)
6. Biostatistics I -- Methods for Observational Studies (960:584)
7. Biostatistics II -- Methods for Controlled Experiments (960:585)
8. Categorical Data Analysis (960:553) or Life Data Analysis (960:542)

Two optional courses:
1. Life Data Analysis (960:542)
2. Statistical Practice (960:545)
3. Categorical Data Analysis (960:553)
4. Methods in Nonparametric Statistics (960:555)
5. Applied Time Series Analysis (960:565)
6. Applied Multivariate Analysis (960:567)
7. Survey Sampling (960:576)
8. Interpretation of Data II (960:587)
9. Data Mining (960:588)
10. Adv Design of Experiments (960:591)
11. Other related advanced courses (approval of graduate adviser)

Option in Data Mining

Seven required courses in Statistics:
1. Regression Analysis (960:563)
2. Applied Multivariate Analysis (960:567)
3. Basic Probability (960:580) or Introduction to Methods and Theory of Probability (960:582)
4. Methods of Statistical Inference (960:583)
5. Interpretation of Data I (960:586)
6. Interpretation of Data II (960:587)
7. Data Mining (960:588)

Two required courses in Computer Science:
8. Design/Analysis of Data Structure and Algorithms (198:512)
9. Machine Learning (198:536)

One optional course from the list given under the biostatistics option.

 

 

MS Degree Program

MS Program Description

 

Prerequisites

Admission to the Statistics graduate program at Rutgers has a number of prerequisites . 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.

Formal Credit Requirements

M.S. candidates must ordinarily have at least 30 semester-hours of approved graduate credits of which no more than two may be C's or lower. If a student takes a course a second time, both the original and any repeated grades contribute to the grade point average in the standard way,

Language Requirement

We do not require MS candidates to demonstrate proficiency in a foreign language.

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.

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 adviser).

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.

Examination Requirements

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.

 

 

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