|
The Department of Statistics will not be accepting applications for the 2008-09 academic year. Students who have already applied and paid the application fee will receive refunds through the School of Graduate Studies.
The core of mathematical statistics and of practical data analysis is
common to all the degree programs in Statistics at Case Western Reserve
University. For the student seeking an M.S. degree, the emphasis beyond
these essentials is on acquiring understanding and good facility with
a variety of statistical methodologies. Most M.S. graduates will find
employment applying statistical methodology to a variety of problems in
an industrial, governmental, or research setting. Competence in a statistical
methodology implies mastering the derivations of particular techniques,
making appropriate choices in their implementation , and being able to
adapt these techniques and construct new ones to meet the specific objectives
and constraints of new situations. The breadth of competence developed
in graduate school will largely determine how well-equipped these graduates
are to solve specific problems for which the principles are clear, but
specific methods must be derived.
Master of Science in Statistics
The M.S. degree in statistics requires a minimum of 30 hours of approved
coursework in statistics and related disciplines and an M.S. research
project or a thesis. Each student's program is developed in consultation
with the Director of Graduate Studies or a senior faculty mentor and must
satisfy the following requirements:
- STAT 425 and 426;
- STAT 445 and 446;
- STAT 455;
- STAT 495 (3 credits); with M.S. project option (STAT 621) in (5)
below, STAT 491 (3 credits) may be substituted for STAT 495;
- M. S. research project (STAT 621) or M.S. Thesis (STAT 651);
- A minimum of 12 hours of approved graduate level statistics electives
including at least 2 STAT courses numbered 400 or higher plus other
elective courses in statistical methodology or probability taught in
biometry, computer science, economics, mathematics, operations research,
systems engineering, etc.
The goals of this program are to give each student a balanced view of
statistical theory and the application of statistics in practice or in
substantive research and at the same time to have the student develop
a broad competence in statistical methodology. The required core coursework
reflects this balance. The first two requirements are for full-year sequences
in data analysis and theory; and the third develops the theory underlying
linear modeling. The requirement for applications of statistics can be
satisfied either through intensive participation in the Consulting Forum
or through an M.S. research project. Graduate students are also required
to participate in a forum or seminar to gain experience in written and
oral presentation. The remainder of each student's program is individualized
to address the more specialized statistical demands of the selected field
of concentration or the focus of multi disciplinary work. Each student
may choose either the applied research project or the thesis option depending
on individual interests. In either case the student can expect to work
with a faculty mentor in undertaking a significant task which will culminate
in polished written and oral presentations; in many cases the work will
be suitable for presentation at professional society meetings or publishable
in a substantive literature. A student coming to school from a position
as professional statistician might choose a statistical problem arising
in the workplace as the basis for an M.S. research project. A student
intending to continue graduate work toward a Ph.D. might choose an M.S.
research project to explore the intimate relationship of statistics to
substantive fields. Alternatively, either student might choose the thesis
option to tailor methodology to a new setting or to make a first essay
at mathematical statistical research.
See M.S. in
Statistics Prototype Program
Combined Bachelor-Master of Science in Statistics
The combined bachelor-master degrees in statistics require a minimum
of 21 hours beyond the bachelor's degree requirements. In total, 42 hours
must be in statistics, including an M.S. thesis or M.S. research project,
with the remainder (either 41 or 26 hours for B.S. or B.A., respectively)
in approved coursework in related disciplines and a field of application.
In addition to the B.S. or B.A. requirements, a combined degree program
must include:
- STAT 455 and three semesters of STAT 491;
- M.S. research project (STAT 621) or M.S. Thesis (STAT 651);
- At least 6 additional hours of courses in statistical theory and
methodology (making a total of 21 hours including at least 4 STAT courses
numbered 400 or higher) to be chosen from Statistics Department offerings
numbered 300 and higher, or approved courses in statistical methodology
or probability taught in biostatistics, computer science, economics,
mathematics, operations research, systems engineering, etc. Students
are strongly encouraged to include advanced expository or technical
writing courses in their programs.
See B.S.-M.S.
in Statistics Prototype Program
Master in Statistics - Entrepreneurial
Track
The Master of Science in Statistics-Entrepreneurial Track (MSS-ET) is
a professional degree designed to provide training in statistics focused
on developing data analysis and decision making skills in industrial/government/consulting
environments where uncertainties and related risks are present. The goal
is to expand the appeal of our existing Master of Statistics program by
creating a professional-type track which will provide some business training.
The new track will provide instruction and real business-world experience
to students who have a background in statistics and a vision for new and
growing ventures.
General Shape of the Curriculum
The minimum number of hours required for the MSS-ET program is 27 with
36 recommended. A typical curriculum to be followed is listed below but
variance could be granted at departmental discretion.
The ENTP 429 - New Venture Creation and Technology Entrepreneurship courses
will be offered by the Weatherhead School of Management.
Students on internships will sign up for the STAT 495B Consulting Forum
sequence.
In addition, an intensive 1 week annual workshop on the industrial use
of statistics from the management perspective will be organized for the
benefit of M.S.S.-ET students each year.
Two graduate level courses (6 credit hours) in Actuarial Science that
will permit statistics M.S. students access to careers in the insurance
and financial services industry have just been created.
See M.S.
in Statistics - Entrepreneurial Track Prototype Program
|
