Department of Engineering Technology
Texas State University
Faculty Profile
Phone: 512.245.6223
E-mail: Dr. Khaleghian
For information regarding the on-campus program, please contact Dr. Meysam Khaleghian
The Engineering Management graduate program at Texas State University is designed for those who seek careers or career advancement in the management of engineering operations and systems in manufacturing and service sectors. Our graduates can integrate technological skills with management knowledge to solve complex technical problems in various domains including automotive, semiconductor, energy, and medical field. Our multidisciplinary and contemporary curriculum bridges the gap between the engineering and industrial management fields.
Dr. Brian J. Galli
Accelerated Online Program Director and Advisor
Department of Engineering Technology
Texas State Univeristy
Faculty Profile
Phone: 631.662.0743
Email: Dr. Galli
For information regarding AOP, please contact Dr. Brian Galli
Dr. Meysam Khaleghian
On-Campus Program Director and Advisor
Career Opportunities
An Engineering Management degree prepares engineers to accelerate their engineering career and move into advanced management positions. Graduates of the Master of Science in Engineering Management degree secure positions in a variety of industry-focused management and leadership roles. The Engineering Management program at Texas State University prepare engineers who can take several positions including:
* Engineering Manager * Process Improvement Manager
* Lead Systems Engineer * R&D Manager
* Quality Assurance Manager * Senior Project Manager
* Product Development Manager * Supply Chain Manager
* Continuous Improvement Engineer * Project Manager
* Program Manager * Facilities Manager
* Operations Manager * Network Administrator
* Management Engineer * Management Consultant
Students having a GPA of 2.75 or higher for the last 60 hours of undergraduate course work are admitted unconditionally and are not required to take the GRE.
Students with a GPA below 2.75 for the last 60 hours of undergraduate course work may qualify for conditional admission, but must submit GRE scores to the Graduate College. A score of 297 or higher is considered acceptable for attaining conditional admission to the Engineering Management graduate program. However, a final admission decision will not be made until GRE scores are on file with the Graduate College. Applications with lower GPAs will be reviewed on a case-by-case basis. Lower GPAs may require higher GRE scores. Please note that conditional admission is NOT available for international students and they have to meet the minimum GPA requirement.
Visit www.gradcollege.txstate.edu for access to an online application and additional details. Application deadlines for U.S. citizens are June 15 for fall, October 15 for spring, and April 15 for summer. Application deadlines for international students are June 1 for fall, October 1 for spring, and March 15 for summer. Applicants interested in being considered for graduate assistantships, scholarships, and/or fellowships, must apply by the priority deadline of February 1 for fall admission.
Generally speaking, those who hold undergraduate degrees in any engineering or engineering technology discipline (or any other STEM program) will face no background work. Individuals holding undergraduate degrees in other fields may find it necessary to complete selected prerequisite courses to remedy deficiencies. Prerequisite requirements will be determined on a case by case basis through consultation with the Graduate Advisor. New students may not enroll in graduate-level courses until assured by the Graduate Advisor that they have satisfied necessary prerequisite requirements.
THE CURRICULUM AND COURSE WORK
The Master of Science in Engineering Management is a 30-credit-hour degree. It is comprised of a 24-credit-hour major in Engineering Management plus 6-credit-hours of management electives. The major includes 15 hours of core technology courses that are common to all students, regardless of specialization. Students may elect a specialization in manufacturing management or industrial management. The 6-credit-hours of management electives allows students to select from such industry-focused business courses as supply chain management, process improvement management, managing business creativity, organizational change management, data analytics etc.
Thesis option students are required to complete a 6-credit-hour research component. Non-thesis students have the option of taking a 6-credit hour Directed Project if they are interested in conducting a research project. A thesis is the more appropriate option for full-time students who may have ambitions of pursuing a PhD degree, while the directed project is the best choice for part-time students who hold jobs in industry.
The program is delivered in two methods: on campus and accelerated online program. For on campus delivery, the majority of graduate level Engineering Management courses are offered one-night-a-week throughout any given semester. This is done to facilitate the enrollment of working professionals who may hold full-time positions, and whose working hours tend to be during the daytime. The accelerated online porgram (AOP) is offered through online courses designed to be delivered through 8 week increments. To learn more about the accelerated online program (AOP), please visit, https://online.txst.edu/degrees/graduate/.
- 15 hours of Engineering Management Core
- 3 hours of concentration course (15 hours for non-thesis option)
- 6 hours thesis courses (for thesis option students only)
- 6 hours of management electives
- Total: 30 credit hours
All Engineering Management students must complete the following 15-credit-hour core curriculum:
| Course Number | Course Name |
|---|---|
| TECH 5394 | Design of Industrial Experiments |
| TECH 5315 | Engineering Economic Analysis |
| TECH 5365 | Industrial Project Management and Scheduling |
| TECH 5325 | Quality & Process Improvement |
| TECH 5330 | Data Driven Decision-Making |
Students may select 3-semester-hours of course work from one of the following specializations.
MANUFACTURING MANAGEMENT
| Course Number | Course Name |
|---|---|
| TECH 5311 | Computer Aided Engineering |
| TECH 5335 | Operations and Supply Chain Management |
| TECH 5340 | Systems Analysis & Design |
| TECH 5364 | Statistical Manufacturing Process Control |
| TECH 5384 | Problems in Technology |
| TECH 5391 | Advanced Manufacturing Systems |
| TECH 5392 | Fundamentals of Microelectronics Manufacturing |
INDUSTRIAL MANAGEMENT
| Course Number | Course Name |
|---|---|
| TECH 5310 | Product Design and Development |
| TECH 5335 | Operations and Supply Chain Management |
| TECH 5340 | Systems Analysis & Design |
| TECH 5364 | Statistical Manufacturing Process Control |
| TECH 5384 | Problems in Technology |
| TECH 5382 | Sustainability in Industrial Management |
| TECH 5387 | Planning Advanced Technology Facilities |
Upon advice of the graduate advisor, students specializing in either manufacturing management or industrial management may also elect graduate level courses offered through the Ingram School of Engineering, and/or other departments in the College of Science and Engineering.
All thesis-track students or non-thesis track students interested in taking research courses, must complete either a 6-credit-hour thesis or directed project:
| Course Number | Course Name |
|---|---|
| TECH 5399A | Thesis (Initial thesis enrollment) |
| TECH 5399B | Thesis (Continuing thesis enrollments) |
| -or- | |
| TECH 5398 | Directed Project (Repeatable for credit) |
Management Electives
In addition to the 24-credit-hour major, all students must complete a 6-credit-hours of management electives. Students may select from any of the following management courses:
| Course Number | Course Name |
|---|---|
| ACC 5361 | Accounting Analysis for Managerial Decision Making |
| ANLY 5334 | Advanced Statistical Methods for Business |
| ANLY 5335 | Forecasting and Simulation |
| ANLY 5336 | Analytics |
| ANLY 5338 | Operations Management |
| ANLY 5343 | Data Mining |
| BA 5351 | Organizational Performance for Competitive Advantage |
| ECO 5316 | Managerial Economics |
| FIN 5352 | Financial Management |
| FIN 5360 | Intelligent Investing |
| FIN 5370 | Advanced Corporate Finance & Valuation |
| ISAN 5318 | Artificial Intelligence in Digital Economy |
| ISAN 5335 | Database Management Systems |
| ISAN 5337 | Computing for Data Analytics |
| ISAN 5364 | Data Warehousing |
| ISAN 5390B | Business Visualization for Decision Making |
| MGT 5313 | Strategic Management |
| MGT 5314 | Organizational Behavior and Theory |
| MGT 5321 | Supply Chain Management |
| MGT 5330 | Seminar in Human Resource Management |
| MGT 5337 | Organization Staffing |
| MGT 5338 | Human Resource Development |
| MGT 5339 | International Human Resource Management |
| MGT 5390 | Managerial Data Analysis |
| MKT 5321 | Marketing Management |
| MKT 5322 | Marketing Research Methods |
| MKT 5340 | Digital Marketing |
| MKT 5345 | Marketing Analytics |
| QFE 5335 | Financial Analytics |
**Some of these courses are proposed for catalog 2027. If you would like to take one of these courses, please speak to your advisor.
All students are required by the Graduate College to successfully complete a comprehensive examination before graduating. For non-thesis option students, attendance at a minimum of five Shop Talks offered by the Graduate College is required. Contact the graduate advisor for more information. For thesis option students, the oral proposal defense serves as the comprehensive exam. The exam is administered by the student’s main advisor (committee chair). Students who perform unacceptably on the exam may retake it once.
It is critical that new students contact the Engineering Management Graduate Advisor as soon as feasible upon admission to the program. The Graduate Advisor will assist the new student with transcript evaluation, identification of deficiencies, and specification of necessary prerequisite course work. The Graduate Advisor will also assist the new student in selecting appropriate courses for their first semester of graduate enrollment and with such substantive issues as degree audit preparation. Interested parties may contact the Graduate Advisor or the Engineering Technology Department Chair for information regarding the Master of Science in Engineering Management Degree at Texas State University.
Assistantships
The Department of Engineering Technology offers a limited number of Graduate Instructional Assistantships (GIA) or Graduate Research Assistantships (GIA). GRAs typically work with faculty on research and other special projects. GIAs are usually involved with instructing undergraduates in a laboratory setting. A Research or Instructional Assistant's workload will never exceed 20 hours per week. Teaching Assistants typically teach freshman level courses under faculty supervision. Both GRA and GIA positions qualify the student for in-state tuition rare. Stipends available for assistantship positions will be determined based on university guidelines. Those interested in applying for assistantship positions should contact the Engineering Management Graduate Advisor for details and application instructions.