Dear Prospective Students:
The Statistics Department at Case Western Reserve University offers
opportunities for graduate study to students with interests in statistical
theory, modeling and applications to interdisciplinary work. Our coursework
beyond a core of statistical theory and modern data analysis with
application is individually tailored to each graduate student's interests
whether leading to a master's degree or preparatory to doctoral research.
Graduates with either M.S. or Ph. D. degree are encouraged to have a substantive area of
competence or an interdisciplinary focus for application of statistical
modeling and methodology.
Interested students are welcome (though not required) to discuss their
backgrounds and to outline possible programs of study with senior faculty
before and after formal application. The Statistics Department is eager to
admit strong students and can provide financial assistance to some.
Financial aid may include waiver of tuition and/or stipend or assistantship
with research or teaching duties for qualified applicants. Interested women
and underrepresented minority students are especially welcome.
To apply for our graduate program, please email
Sharon Dingess
(skd4@po.cwru.edu), who will
then ask you to supply
- A resume of any relevant academic/work/teaching experience in
statistics, mathematics, computer science, and/or any other fields.
- Copies of certificates of degrees and any scholastic/professional
awards or honors; official transcripts; copies of GRE and TOEFL scores.
If you have not taken the GRE or TOEFL exams, please make arrangements to
do so, and have your score(s) sent to us before the 1/15/01 deadline (but
preferably earlier).
- A personal statement indicating your education and professional
goals, and your reasons for wishing to undertake graduate study in
Statistics at this time.
- Three letters of recommendation sent directly to us by the
people who write the letters (preferably by email to
grad@statistics.cwru.edu).
Of these items, the personal statement is of particular importance
because it provides the clearest basis for assessing the match of the
student with the program.
A minimal mathematical preparation for graduate work in statistics should
include a complete calculus sequence and linear algebra. A strong
background includes additional undergraduate courses such as advanced
calculus, real analysis, probability, differential equations, numerical
analysis or courses in computer science.
Preparation in a substantive area, whether physical or biological science,
social science, computational science, engineering, or management science,
beyond the undergraduate introductory level is an advantage (though not
required). Good written and oral communication skills are also an asset,
and may be required for some assistantships.
Additional information appears at the CWRU Statistics Department web page.
We look forward to having you join our dynamic statistics
programs.
Professor Wojbor A. Woyczynski, Graduate Admissions (2000), Department of Statistics, Case Western Reserve University