M.S.Ed. in Research, Measurement and Evaluation Postgraduate Programme By University of Miami |TopUniversities

M.S.Ed. in Research, Measurement and Evaluation

Main Subject Area

Engineering - Manufacturing and ProductionMain Subject Area

Programme overview

Main Subject

Engineering - Manufacturing and Production

Study Level

Masters

This program is designed to train students in research methodology, relevant statistical and measurement analyses, and statistical software required for data management and statistical analyses relevant to research and evaluations conducted in educational, psychological, health, and human service environments. To accomplish this goal, students complete a set of core courses that provide training in the relevant methodologies and statistical software. These core courses cover computer programming, basic descriptive and inferential statistics, the general linear model, multivariate statistics, structural equation modeling, measurement theory, program evaluation, and data management. The core courses focus on application of methods to real-world problems and data analysis so that the experiences obtained in the classroom can directly translate into practical skills that will be required in real research and evaluation settings. The majority of courses related to statistics, measurement, and data management are taught in a computer lab whereby students are actively engaged in using relevant statistical software to conduct the desired analyses. As a result, students are provided continuous opportunity to gain skills related to the analysis of data in applied settings.

Programme overview

Main Subject

Engineering - Manufacturing and Production

Study Level

Masters

This program is designed to train students in research methodology, relevant statistical and measurement analyses, and statistical software required for data management and statistical analyses relevant to research and evaluations conducted in educational, psychological, health, and human service environments. To accomplish this goal, students complete a set of core courses that provide training in the relevant methodologies and statistical software. These core courses cover computer programming, basic descriptive and inferential statistics, the general linear model, multivariate statistics, structural equation modeling, measurement theory, program evaluation, and data management. The core courses focus on application of methods to real-world problems and data analysis so that the experiences obtained in the classroom can directly translate into practical skills that will be required in real research and evaluation settings. The majority of courses related to statistics, measurement, and data management are taught in a computer lab whereby students are actively engaged in using relevant statistical software to conduct the desired analyses. As a result, students are provided continuous opportunity to gain skills related to the analysis of data in applied settings.

Admission Requirements

6.5+
125+
80+
Other English Language Requirement: TOEFL (paper-based) score of 550.

Jan-2000

Tuition fees

Domestic
0 USD
International
0 USD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

PhD in Finance arrows

Go to Programme ::type_cta_button::
Postgrad Programmes 401