The University of Texas Rio Grande Valley

Engineering Management (MS) - Online Program

CIP Code

15.1501.00

Overview

The 100% online UTRGV Master of Science in Engineering Management program is designed to prepare future leaders in engineering management, focusing on skills needed in planning, organization, leadership, control in production, research and services organizations. Through this program, students are provided an opportunity to strengthen their technological education and acquire the skills to manage and lead engineers and engineering systems.

Engineering Management is a broad field and can cover a wide range of technical and managerial topics such as: Leadership and Organization Management, Operations Research; and Supply Chain Management, Project Management, Quality Management and Decision Science, and Industrial Cost Systems.

No matter what is your end goal, the UTRGV Master of Science in Engineering Management program provides modern learning modules designed to provide you the opportunity to be the engineering leader.

This program is 100% online. A traditional version of this program is also available. Students are not allowed to alternate enrollment in online and traditional program courses.

Program Goals

  • Develop engineering management skills in planning, organization, and control of engineering projects and engineering systems.
  • Design, develop and evaluate engineering systems and models using technical methods and approaches, to improve business performance measures.
  • Apply theories and tools in quality management to enhance performance of an organization.
  • Develop fundamental skills in negotiations, marketing, decision analysis and risk assessment for effective engineering management.
  • Evaluate and apply engineering leadership skills when advancing into management roles.
  • Evaluate economic and financial structures, and their implications to the engineering systems.
  • Enhance efficiency of resource utilization through optimization algorithms and lean models to support engineering operations.
  • Develop material requirement planning (MRP) including inventory models, dispatching and scheduling, material planning and forecasting.
  • Conduct research, analyze, and write technical reports or publications in their chosen area of Engineering Management.

Admission Requirements

To be admitted to the graduate program in engineering management, prospective candidates must first meet all requirements for graduate admission to UT Rio Grande Valley, as well as the other requirements listed below:

  1. Bachelor’s degree in engineering, science, computer science, or business.
  2. Undergraduate GPA of at least 3.0 in the last 60 semester credit hours.
  3. Letter of Intent detailing professional goals and reasons for pursuing the graduate degree.
  4. Resume.

Application for admission must be submitted prior to the published deadline. The application is available at www.utrgv.edu/gradapply.

Program Requirements

Leveling Courses

Students whose undergraduate major is not manufacturing engineering may be required to take some leveling courses from the list given below with approval of the graduate coordinator or the student's thesis committee. Leveling courses are determined for each student by the graduate coordinator or thesis committee based on the student's course background and experience in manufacturing.

MANE 3332Engineering Statistics

3

MANE 3337Engineering Economics

3

MANE 3340Fundamentals of Industrial Engineering

3

Required Courses - 6 Hours

MANE 6345Engineering Management

3

MANE 6380Engineering Project Management

3

Prescribed Electives - 9 Hours

Select one unduplicated course in each area.

Engineering Management Area

Choose one from the following:

MANE 6304Industrial Cost Analysis

3

MANE 6319Quality Management Systems

3

MANE 6337Lean Manufacturing & Engineering Systems

3

MANE 6340Operations Research and Analysis

3

MANE 6342Decision Support Systems

3

MANE 6357Ergonomics

3

Quality Systems Area

Choose one from the following:

MANE 6311Advanced Quality Control

3

MANE 6313Design of Experiments

3

MANE 6315Reliability Engineering

3

MANE 6317Data Science Applications in Manufacturing

3

MANE 6319Quality Management Systems

3

MANE 6332Engineering Statistics

3

MANE 6337Lean Manufacturing & Engineering Systems

3

MANE 6368Logistics Engineering

3

MANE 6375Human Factors

3

Engineering Analysis Area

Choose one from the following:

MANE 6304Industrial Cost Analysis

3

MANE 6313Design of Experiments

3

MANE 6315Reliability Engineering

3

MANE 6321Robotics and Automation

3

MANE 6333Introduction to Scheduling and Sequencing

3

MANE 6334Optimization of Industrial Systems

3

MANE 6340Operations Research and Analysis

3

MANE 6342Decision Support Systems

3

MANE 6348Systems Engineering

3

MANE 6352Manufacturing Systems Simulation

3

MANE 6354Advanced Engineering Economy

3

MANE 6355Design for Manufacturing

3

MANE 6358Precision Manufacturing

3

MANE 6359Sustainable Energy

3

MANE 6366Advanced Machining

3

MANE 6367Principles of Additive Manufacturing and 3D Printing

3

MANE 6368Logistics Engineering

3

MANE 6369Mold Design and Analysis

3

MANE 6370Supply Chain Analytics

3

MANE 6375Human Factors

3

MANE 6385Plastics Product Design and Engineering

3

MANE 6387Introduction to Shipbuilding

3

Free Electives - 9 Hours

Select three unduplicated courses from graduate courses offered by the College of Engineering and Computer Science, the College of Science, or by the Robert C. Vackar College of Business and Entrepreneurship.

Non-Thesis Option

Prescribed Electives - 6 Hours

Six unduplicated hours from Manufacturing Engineering.

Capstone Requirement

Written report addressing topic in manufacturing engineering showing master’s level work and containing references. Most MANE courses require a technical report that is suitable for satisfying this requirement. Written reports must be submitted to the graduate program coordinator for approval.

Thesis Option

Thesis - 6 Hours

MANE 7300Thesis I

3

MANE 7301Thesis II

3

Total Credit Hours: 30