M.S. in Statistics

 

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Updated February 2, 2017

The Master of Science in statistics requires 32 s.h. of graduate credit. The program prepares students for careers as professional statisticians or for entry into a Ph.D. program. It includes a solid foundation in statistical computing, statistical modeling, experimental design, and mathematical statistics plus electives in statistical methods and/or theory. Students have the opportunity to concentrate on theory or applications or a combination of the two.

In addition to required course work, students must pass a two-part graduate final examination and complete the M.S. creative component.

M.S. students in statistics must maintain a g.p.a. of at least 3.00 in all work toward the degree and in additional relevant course work. Students must take a computer programming proficiency test during the first semester of study; those who display inadequate programming skills are assigned activities to build their proficiency.

The Master of Science program in statistics requires the following work.

Statistics Courses

All of these:  
STAT:5090 ALPHA Seminar 1
STAT:5100-STAT:5101 Statistical Inference I-II 6
STAT:5200-STAT:5201 Applied Statistics I-II 7
STAT:5400 Computing in Statistics 3
STAT:6220 Statistical Consulting 3
STAT:6300 Probability and Stochastic Processes I 3
STAT:6990 Readings in Statistics (two consecutive enrollments) 2
At least 7 s.h. from these:  
STAT:4540 Statistical Learning 3
STAT:4580 Data Visualization and Data Technologies 3
STAT:4520 Bayesian Statistics 3
STAT:5120 Mathematical Methods for Statistics 3
STAT:6301 Probability and Stochastic Processes II 3
STAT:6510 Applied Generalized Regression 3
STAT:6530 Environmental and Spatial Statistics 3
STAT:6540 Applied Multivariate Analysis 3
STAT:6547 Nonparametric Statistical Methods 3
STAT:6560 Applied Time Series Analysis 3
STAT:6970 Topics in Statistics 3
A Ph.D.-level course numbered 7000 or above, including seminar courses 1-3

M.S. students planning to enter the doctoral program may wish to include STAT:5120 Mathematical Methods for Statistics in their course selections, since it is part of the required Ph.D. core.

Master of Science Final Examination

The M.S. final examination consists of two parts: one covers the topics presented in STAT:5100 Statistical Inference I and STAT:5101 Statistical Inference II; the other part covers the topics presented in STAT:5200 Applied Statistics I, STAT:5201 Applied Statistics II, and STAT:5400 Computing in Statistics. Each part includes a few problems that test readiness for the Ph.D. program.

Final examinations are offered the week before classes begin in August. Study guides are available in the department office. Students who do not succeed the first time they take the exam may repeat it once, with the possiblity of a retake the week before classes begin in January.

Students must complete all requirements and be granted the Master of Science degree within one calendar year of passing the M.S. final examination; those who do not meet this deadline are required to take the exam again.

Students entering the Ph.D. program, who will choose either biostatistics, probability/mathematical statistics, or statistical modeling and computing as their concentration area, and who already have taken the equivalent of the first-year courses, may take the M.S. final examination in statistics before beginning further studies.

Creative Component

Students must also complete a creative component that is related to their application and career interests. Students wishing to qualify for the Ph.D. program are encouraged to write a research-oriented creative component. The creative component entails writing an 8-15 page report on a suitable topic, under an advisor's supervision (with two consecutive 1 s.h. enrollments in STAT:6990 Readings in Statistics, normally during the fall and spring semesters of the second year). A draft of the paper should be completed by the end of the first enrollment in STAT:6990, and polished by early- to mid-semester in the second enrollment. The paper is then presented orally in a public seminar. A faculty committee, in consultation with the creative component advisor, evaluates the work and the presentation, and assigns a grade of satisfactory or unsatisfactory.

For students wishing to qualify for the Ph.D. program, the creative component represents one piece of the body of work used to determine Ph.D. qualification. The creative component must be satisfactorily completed within one calendar year of passing the M.S. final examination; failure to meet this deadline requires reexamination of the student.

The Master's in Science program in Statistics prepares students for careers as professional statisticians or for entry into the Ph.D. program. It includes a solid foundation in statistical computing, statistical modeling, experimental design, and mathematical statistics, plus electives in statistical methods, applications, or theory. Students have the opportunity to concentrate on theory, applications, or a combination of the two.

The Master of Science in statistics requires 32 s.h. of graduate credit.  In addition to required course work, students must pass a two-part M.S. final examination and complete the M.S. creative component. The creative component must be satisfactorily completed within one calendar year of passing the M.S. final examination; failure to meet this deadline requires reexamination of the student.

M.S. students in statistics must maintain a g.p.a. of at least 3.00 in all work toward the degree and in additional relevant course work. Students must take a computer programming proficiency test during the first semester of study; those who display inadequate programming skills are assigned activities to build their proficiency.

The Master of Science program in statistics requires the following work.

Plan of Study

The applicant for a master's degree must file a Plan of Study, approved by the advisor and the DEO, with the Graduate College within the session in which the comprehensive exam is taken, and by a date to be established by the Graduate College dean. The Plan shall meet the requirements for the degree approved by the graduate faculty.  The plan of study is completed by the faculty and is submitted for you.  There is nothing you need to do, except review it.  It is usually completed at the beginning of your 4th semester and a copy is placed in  your mail box in 241 Schaeffer Hall.

If a student makes a change in his or her Plan of Study (i.e., adds or deletes a course), he or she must file an Application for Change in Plan of Study (see program coordinator or your advisor).

Application for Degree

The student must file an application for an anticipated degree with the Registrar not later than ten weeks after the start of the semester or one week after the start of the summer session in which the degree will be conferred. Failure to file the Application for Degree by the deadline may result in postponement of graduation to a subsequent session.

Students must be registered for the semester in which they graduate. Students who have completed their coursework may register for GRAD:6001 (000:001) Master's Final Registration for 0 s.h. with their advisor's approval.

M.S. Timeline

The timeline below describes the key milestones in the M.S. program. Meeting these milestones on time constitutes "adequate progress" toward the M.S. degree. See also the sample schedule below.

Year 1

  • Complete at least 18 semester hours of coursework with a GPA of at least 3.0, including courses needed to prepare for the M.S. Final Examination.

Year 2

  • Take the M.S. Final Examination before classes start in the fall. If necessary, re-take the exam in January.
  • Complete the remaining coursework with a GPA of at least 3.0, meeting the requirements of the M.S. program.
  • Satisfactorily complete the creative component requirement (draft by end of fall, polished and presented by mid-spring).
  • Complete the Plan of Study.
  • File the Application for Degree.

Sample Schedule for M.S. Students in Statistics

Year Fall Semester Spring Semester
1 STAT:5090 ALPHA Seminar

STAT:5100 Statistical Inference I

STAT:5200 Applied Statistics I

STAT:5400 Computing in Statistics

STAT:5101 Statistical Inference II

STAT:5201 Applied Statistics II

STAT:5120 Mathematical Methods for Statistics, or

STAT:6560 Applied Time Series Analysis, or an elective

2 [M.S. Final Examination]- prior to classes starting

STAT:4520 Bayesian Statistics, or STAT:6540 Applied Multivariate Analysis, or STAT:6970 Topics in Statistics, or an elective

STAT:6300 Probability and Stochastic Processes I

STAT:6990 Readings in Statistics (1 s.h.)

STAT:6220 Statistical Consulting

STAT:6510 Applied Generalized Regression, or STAT:6530 Environmental and Spatial Statistics, or an elective

STAT:6990 Readings in Statistics (1 s.h.)