Doctor Of Engineering

The Doctor of Engineering Degree is designed to permit the engineer to study complex practical engineering problems.

Admissions Procedures

The DE admission decision is made by the IE graduate admission committee. Please contact the Graduate Advisor, Dr. Curry, for specific questions about requirements for the IE program.

For admission to the program, the student must meet the following requirements:

  1. The general requirements for admission to the College of Graduate Studies.
  2. Hold a bachelor's degree in a field of engineering or related discipline (math, physics, computer science or other related discipline). Individuals with Master's degrees have fewer preparatory courses. Individuals without engineering degrees might have additional coursework to build their understanding of the engineering field.

For more information, please see our Admissions information website.

Degree Requirements

1. All College of Graduate Studies general degree requirements

2. The student with a Master’s degree shall complete a residency of at least one year; the student with a bachelor degree shall complete a residency of at least two years

3. Completion of a minimum of 27 semester hours of DE dissertation preparatory courses for students with a Master’s degree at the time of admission, or completion of a minimum of 45 semester hours of DE dissertation preparatory courses for students with a BS degree in engineering at the time of admission. The preparation includes completion of one semester of ENGR 6320, Justification of Engineering Project

4. Completion of a minimum of 4 semester hours of Professional Seminar (ENGR 6110)

5. Completion of candidacy qualifying examination designed by the student’s dissertation committee. The purposes of this examination are to test the ability of the student to comprehensively relate the subjects of the study program and to ascertain the student’s qualifications to perform the field study. Students who pass the qualifying examination are admitted to candidacy. Students who fail to pass the qualifying exam are allowed to schedule a re-examination within 6 weeks after the first attempt. Failing to pass the qualifying exam for the second time will remove the student from the DE program

6. After the student is admitted to candidacy, a research proposal must be presented to the doctoral dissertation committee within 6 months after passing the qualifying examination. Upon committee approval of the proposed engineering research through an oral defense, the research work is initiated

7. Completion of a minimum of 30 semester hours of DE dissertation courses (ENGR 6603 and ENGR 6604) and satisfactory defense of DE dissertation

8. The DE degree must be completed within 10 consecutive years of study

Hours: 61 with masters degree / 79 without masters degree

Why Lamar?

  1. Research. A doctoral degree looks great on a resume. The department is concentrates on applied industry-focused research.
  2. Affordable. Lamar University is affordable with many students offered scholarships that come with instate tuition or TA/RA positions with tutition waivers.  Students can join the program without a masters degree.
  3. Flexible. The department allows students to take one course outside the department per semester.
  4. Software Focused. Most students learn a programming language (Python, Javascript, R, Java) and advanced software libaries (CPLEX, Sci-Kit Learn, Tensorflow, NLTK).
  5. Focused. We synchronize your research to the needs of industry and the job market.

Past Dissertations

  • Rail track geometry degradation and maintenance modeling
  • Developing a real time online scheduling system for a manufacturing service company : achieving visibility
  • An advanced capable-to-promise system for hybrid production strategy
  • An analysis of workers' attitudes toward safety culture in maritime industry
  • Study on chemical vessels scheduling problem in a port using MIP, CP, and priority job scheduling heuristics
  • A multi-level modeling and simulation framework for port managementMaritime crane near misses and injuries
  • Determining inventories of medical supplies during disaster response operations with a system dynamic approach
  • A multi-level modeling and simulation framework for port management
  • Efficient scheduling for energy saving for food processing industry - a case for an ice cream processing facility
  • Multi-objective optimization for natural gas pipeline network operation
  • Measuring efficiencies and economic impact of air transportation sector in the U.S. economy using data envelopment analysis and Leontief analysis
  • Analyzing brand loyalty in automotive sector using the Hidden Markov Model and Support Vector Machine
  • Cleaning large data sets with a coordinated machine learning and manual approach
  • Developing effective cross tabs to visualize data sets
  • Refinery production planning considering nervousness
  • Analysis and classification of near miss data in the maritime industry, including the use of text mining software
  • A data to text framework for describing of regression models : an optimization approach for content determination
  • Using natural language generation to document portfolio performance : an optimization approach for content determination
  • Tool wear and tool life in micro-milling under dry and MQL conditions
  • Inventory metrics for lead time focused manufacturing