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University of Wyoming
 

Assessment Plan for MS in Statistics

 

Goal

Students who graduate with a MS in Statistics have adequate training and experience such that they can enter into careers as professional statisticians.

 

Objectives/Methods of Assessment

Objective 1: Masters students receive and master sufficient theoretical training.

Method of Assessment 1: The masters curriculum is constantly reviewed for its

comparability with other masters level programs in the United States for breadth

and depth.

Method of Assessment 2: The masters students must pass the departmental

qualifying examination at the MS level, which insures that they have sufficient

understanding of the fundamentals of statistics to pursue the MS degree.

Objective 2: Masters students receive and master sufficient applied experience.

Method of Assessment 1: The masters students create and maintain an

employment/teaching portfolio which specifies type of position, duties, and

responsibilities; and includes a self evaluation and employer (supervisor)

evaluation of performance.

Method of Assessment 2: The masters students create and maintain a presentation

portfolio which must include at least 2 orally delivered presentations. Regionally

and nationally delivered presentations will be included in this portfolio for

consideration and review.

Objective 3: Masters students obtain employment as professional statisticians.

Method of Assessment 1: Employment history of the masters students 5 years

post graduation.

 

Assessment Plan for PhD in Statistics

Goal 1

Students who graduate with a PhD in Statistics have adequate training and experience such that they can enter into careers as professional statisticians, in both academic and non-academic positions.

Objectives/Methods of Assessment

Objective 1: Doctoral students receive and master sufficient theoretical training.

Method of Assessment 1: The doctoral curriculum is constantly reviewed for its

comparability with other doctoral programs in the United States for breadth and

depth.

Method of Assessment 2: The doctoral students must pass the departmental

qualifying examination at the PhD level, which insures that they have sufficient

understanding of the fundamentals of statistics to pursue the PhD degree.

Method of Assessment 3: The doctoral students must pass the departmental

preliminary examination (comprehensive examination), which insures that they

have sufficient understanding of advanced statistics to be able to successfully

complete the dissertation research project.

Objective 2: Doctoral students receive and master sufficient applied experience.

Method of Assessment 1: The doctoral students must pass the departmental

written English examination, which insures that they have sufficient skill in

writing basic and scientific English to pursue the PhD degree.

Method of Assessment 2: The doctoral students create and maintain an

employment/teaching portfolio which specifies type of position, duties, and

responsibilities; and includes a self evaluation and employer (supervisor)

evaluation of performance.

Method of Assessment 3: The doctoral students create and maintain a presentation

portfolio which must include at least 3 orally delivered presentations. Regionally

and nationally delivered presentations will be included in this portfolio for

consideration and review.

Objective 3: Doctoral students obtain employment as professional statisticians.

Method of Assessment 1: Employment history of the doctoral students 5 years

post graduation.

 

Goal 2

Students who graduate with a PhD in Statistics have a dissertation research experience that results in professional publication(s), which make a substantial contribution to the discipline of Statistics.

Objective 1: Doctoral students complete an adequate dissertation research project.

Method of Assessment 1: The dissertation project supervisor works with and

reviews the progress of her/his doctoral students to successfully defend the

proposal and completed dissertation project.

Objective 2: Doctoral students must submit at least 2 papers for peer-reviewed publication

prior to graduation, one of which must be submitted to a main stream statistics journal.

Method of Assessment 1: The doctoral students create and maintain a research

portfolio which contains their research proposals, copies of submitted articles, and accepted publications.