To enter the EMGT plan, a candidate must hold a bachelor's degree in engineering or science.  The candidate must be approved by the graduate admission committee to ensure that the appropriate industrial or existing managerial background knowledge base is present.  The GRE is required of all candidates applying for admission. The preferred GRE score is at least 1000 (verbal + quantitative), with a verbal score of 400 or higher.  GRE scores will be evaluated by the degree plan's admissions committee and will be used as one of the indicators of the applicant's potential for completion of the plan.  It is recommended that candidates who apply for admission to a graduate plan have a GPA of 3.0 or greater (four point grade scale) on the last 60 hours of course work.

The graduate degree in EMGT requires 30 hours of graduate courses.  No 4000 level credits will be allowed for the EMGT master's degree.  A maximum of six hours of grades of "C" may be counted toward the graduate degree; grades of "C-" will not apply.

In addition, the EMGT graduate admission committee may require that applicants have a set of foundation courses and that their prerequisites be completed before they enroll in the graduate EMGT program. The foundation courses are listed below. The committee may also require industry-related experience and letters of recommendations from current employers during admission review. The EMGT faculty graduate admissions committee will approve a candidate’s acceptance into the program based on program need, program guidelines, and UHCL admission requirements. Once admitted, the candidate must file a CPS in the first semester of enrollment. The following foundation courses are required for entry:

MATH 4131  Ordinary Differential Equations and Applications

Prerequisite: MATH 3231. Solutions of ordinary differential equations of first and second order, Laplace transforms, power series techniques, systems of equations, stability, numerical methods, geometric and physical applications.

MATH 3334   Probability and Statistics for Engineers and Scientists

Prerequisite: Calculus I and II. graphical representation of data, measures of centrality and variability, concepts and rules of probability, discrete probability distribution, normal distribution, sampling distributions, central limit theorem, parameter estimation, testing of hypothesis, two sample methods, analysis of variance, correlation and regression analysis.