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The School of Earth and Space Exploration sensor networks program combines the creative strengths of science, engineering, and education to prepare students for professional and academic careers in exploration.
Students interested in computer networks, mobile computing, Earth-systems engineering, multidimensional signal processing, information theory, or random signal theory work in an interdisciplinary environment with faculty who specialize in the natural sciences, instrumentation design, and building sensor networks.
The PhD program in exploration systems design offers students an advanced systems approach for developing scientific exploration technologies in a wide range of demanding environments on the Earth, planets, moons and in space.
This transdisciplinary degree program provides a unique platform to train systems engineers targeting technological development for exploration science.
The program is a collaboration between the School of Earth and Space Exploration and the Ira A. Fulton Schools of Engineering that allows students to specialize in topics related to planetary exploration, astronomical instrumentation, robotics, sensors and sensor networks.
The curriculum will integrate the School of Earth and Space Exploration's science, instrumentation and systems engineering core courses with related coursework from the Ira A. Fulton Schools of Engineering.
At the School of Earth and Space Exploration we're leading NASA and NSF space missions, designing, building, and testing instruments in our labs, and using them to explore the Earth, the solar system, and the universe beyond.
The majority of SESE’s admissions are for the fall semester. Spring admissions occur under special circumstances. Graduate admission to SESE consists of the following application dates for full consideration of funding and campus recruitment activities. Applications received after these dates will be considered at a lower priority for funding and visitation: December 15 of the previous year for fall admission or October 1 of the previous year for spring admission.
Most applicants will have a degree in an area related to the graduate degree they are seeking, although this is not a requirement. There is not a minimum score requirement for the GRE exams because scores are taken into consideration with the academic record and other materials as a whole. Meeting the minimum criteria does not guarantee admission to the program.
At SESE students will find a unique interdisciplinary approach which combines diverse areas of engineering and the sciences to answer complex questions in a friendly and exciting environment.
— Danny Jacobs, Professor, School of Earth and Space Exploration
To earn the sensor networks PhD degree, students must complete 84 credit hours at the graduate level, a written comprehensive exam, an oral comprehensive exam, a prospectus, and a dissertation. Students must take one core course, 61 credit hours in elective courses or research, one credit hour of colloquium, 9 credit hours in their concentration subject, and 12 credit hours of culminating experience (dissertation).
|Requirements and electives||Credit hours|
|Electives or research||61|
|Total hours required||84|
Additional Curriculum Information
When approved by the student's supervisory committee and the Graduate College, this program allows 30 credit hours from a previously awarded master's degree in a related field to be used for this degree. Related fields include, but are not limited to, engineering, computer science, geological sciences or physics.
As part of the electives or research, students will take two science courses selected from the SESE graduate catalog (GLG, SES, or AST prefixes). Substitutions may be made per academic unit approval.
Substitutions for Other Requirements may be made per department approval.
The sensor networks PhD degree uses a research-based model and includes a written thesis and an oral defense after completion of a comprehensive examination. A minimum of 84 credit hours is required for the degree. Students submit a plan of study that details their elective course selections after conferring with the supervisory committee. All students admitted to this program are also required to take one core course and one colloquium course, each earning 1 credit hour.
SES 502 Exploring SESE Research (1 credit hour)
Students can take any 500+ level course with GLG, SES, or AST prefixes. Students should work with their faculty advisor to select courses that work best for their program of study. A full list of electives is available here. Course offerings may vary by instructor availability. Students are encouraged to work with their advisor or refer to the class search for semester offerings.
SES 501 SESE Colloquium (1 credit hour)
Sensor Networks students must take three of the following six courses (3 credit hours each):
CSE 534 Advanced Computer Networks
CSE 535 Mobile Computing
CEE 581 Advanced Earth Systems Engineering and Management
EEE 507 Multidimensional Signal Processing
EEE 551 Information Theory
EEE 554 Random Signal Theory
SES 799 Dissertation (12 credit hours)