Engineering Technology and Management for Agricultural Systems, Ph.D.
for the Doctor of Philosophy in Engineering Technology and Management for Agricultural Systems
The degree of Doctor of Philosophy is primarily a research degree requiring from three to four years of graduate study beyond the master's degree or five to six years for students admitted directly with a bachelor’s degree. The major area of specialization integrates courses and research that are closely related in content, though courses may be drawn from multiple departments. Students work with their advisor and research committee to create a focused plan of study in their primary area, complemented by approved electives. To graduate, candidates must demonstrate their capacity for independent research by completing an original dissertation on a topic within the major field of study and successfully pass both preliminary and final examinations.
for the Doctor of Philosophy in Engineering Technology and Management for Agricultural Systems
ETMAS Ph.D. Curriculum with approved MS degree
| Code | Title | Hours |
|---|---|---|
| ABE 501 | Graduate Seminar: Foundations of Success | 1 |
| ABE 502 | Graduate Seminar: Advanced Career Skills | 1 |
| ABE 503 | Graduate Seminar: Integrity, Teaching and Research | 1 |
| Code | Title | Hours |
|---|---|---|
| Choose one course in statistics or data analytics: | ||
| ABE 445 | Statistical Methods | 4 |
| CPSC 541 | Regression Analysis | 4 |
| CPSC 543 | Appl. Multivariate Statistics | 4 |
| PSYC 581 | Applied Regression Analysis | 4 |
| PSYC 587 | Hierarchical Linear Models | 4 |
| EPSY 480 | Educational Statistics | 4 |
| STAT 420 | Methods of Applied Statistics | 4 |
| One course in research methods including experimental design | ||
| CPSC 540 | Applied Statistical Methods II | 4 |
| EPSY 403 | Research Methods in Learning Sciences | 4 |
| Code | Title | Hours |
|---|---|---|
| Required course subtotal: | 11 | |
| Elective courses - chosen in consultation with advisor; one of the courses must be 500-level (subject to Other Requirements and Conditions below) | 10 | |
| Subtotal for course credit hours: | At least 21 | |
| ETMA 599 | Thesis Research | Up to 43 |
| Total Hours | 64 | |
Other Requirements
| Code | Title | Hours |
|---|---|---|
| Other Requirements and Conditions may overlap | ||
| One 500-level course (at least 3 credit hours) must be formal coursework, not seminar courses, special topics or independent study | ||
| A maximum of 4 hours of ETMA 597 (or other independent study) may be applied toward the elective course work requirement | ||
| Teaching experience determined in consultation with advisor with department guidelines | ||
| The minimum program GPA is 3.0 | ||
| Ph.D. exam and dissertation requirements: | ||
| Preliminary Exam | ||
| Final Exam or Dissertation Defense | ||
| Dissertation Deposit | ||
Direct PhD in ETMAS - with approved BS degree
| Code | Title | Hours |
|---|---|---|
| ABE 501 | Graduate Seminar: Foundations of Success | 1 |
| ABE 502 | Graduate Seminar: Advanced Career Skills | 1 |
| ABE 503 | Graduate Seminar: Integrity, Teaching and Research | 1 |
| Choose one course in statistics or data analysis: | 4 | |
| ABE 445 | Statistical Methods | 4 |
| CPSC 541 | Regression Analysis | 4 |
| CPSC 543 | Appl. Multivariate Statistics | 4 |
| PSYC 581 | Applied Regression Analysis | 4 |
| PSYC 587 | Hierarchical Linear Models | 4 |
| EPSY 480 | Educational Statistics | 4 |
| STAT 420 | Methods of Applied Statistics | 4 |
| Choose one course in research methods including experimental design: | 4 | |
| CPSC 540 | Applied Statistical Methods II | 4 |
| EPSY 403 | Research Methods in Learning Sciences | 4 |
| In addition to above 2 courses in stats and research methods, the student is required to take one more course from any of the three areas (stats, data analysis or research methods) above | 4 | |
| Required course subtotal: | 15 | |
| Elective courses - chosen in consultation with advisor, at least two courses are 500-level (subject to Other Requirements and Conditions below) | 27 | |
| Subtotal for course credit hours: | At least 42 | |
| ETMA 599 | Thesis Research | Up to 54 |
| Total Hours | 96 | |
Other Requirements
| Code | Title | Hours |
|---|---|---|
| Other Requirements and Conditions may overlap | ||
| Two 500-level courses (at least 3 credit hours each) must be formal coursework, not seminar courses, special topics or independent study | ||
| A maximum of 8 hours of ETMA 597 (or other independent study) may be applied toward the elective course work requirement | ||
| Teaching experience determined in consultation with advisor with departmental guidelines | ||
| The minimum program GPA is 3.0 | ||
| Ph.D. exam and dissertation requirements: | ||
Qualifying requirements review in the 2nd year: It is required to complete all courses in stats, data analysis and research methods by the 3rd semester with a 3.25 or higher GPA | ||
| Preliminary Exam | ||
| Final Exam or Dissertation Defense | ||
| Dissertation Deposit | ||
for the Doctor of Philosophy in Engineering Technology and Management for Agricultural Systems
The PhD program in Engineering Technology and Management for Agricultural Systems (ETMAS) prepares graduates to make significant contributions to the field through research, innovation, and leadership. Students completing the program will demonstrate mastery of advanced concepts in engineering technology as applied to agricultural systems, while conducting independent research that generates new knowledge in the field. Through their doctoral studies, they will develop the ability to design and implement rigorous research methodologies, create innovative solutions to complex agricultural challenges, and effectively communicate their findings to diverse stakeholders.
Specifically, upon completing the program, students will demonstrate:
- Advanced knowledge and research capabilities in engineering technology and management for agricultural systems.
- Proficiency in research design and execution, applying appropriate methodologies and advanced data analysis to agricultural technology and management challenges.
- An ability to develop and validate innovative solutions that integrate engineering technology, systems approaches, and management principles for agricultural systems.
- Effective communication of research findings through scholarly writing and presentations to agricultural technology and management stakeholders.
- Responsible conduct in research while considering technological, managerial, economic, and societal implications.
- Commitment to professional growth and adaptation to emerging technologies and management practices in agricultural systems.
for the Doctor of Philosophy in Engineering Technology and Management for Agricultural Systems
Department of Agricultural & Biological Engineering
Department Head: Ronaldo Maghirang (ronaldom@illinois.edu)
Director of Graduate Studies: Maria Chu (mlchu@illinois.edu)
Agricultural & Biological Engineering Department website
338 Agricultural Engineering Sciences Building
1304 West Pennsylvania Avenue
Urbana, IL 61801
(217) 333-3570
abe@illinois.edu
College of Agricultural, Consumer & Environmental Sciences (ACES)
College of Agricultural, Consumer & Environmental Sciences website