Use powerful geospatial tools in your discipline.
Develop skills and competencies in geospatial data mining, crowdsourcing, use of computing
toolsets, and programming environments for operating Geospatial Big Data. Apply geospatial
big data mining technologies to real-world scenarios such as autonomous navigation,
smart cities, and Internet of Things. Operate structured and non-structured geospatial
data widely available in the global cyberspace. Learn about trajectories, images,
natural language mining, open depositories, and social media. Move to the next level
with your career in geospatial engineering and integrated geospatial technology, civil,
environmental, geological, and computer engineering, data science, and forestry.
3 courses in 3 semesters.
| Length |
3 courses in 2-3 semesters |
| Effort |
3 hours per credit per week |
| Each course |
3 credits |
| Total credits |
9 |
| Course type |
Online or on-campus |
| Modality |
Watch class recordings on demand |
| Cost |
Based on credits and course type |
| Already enrolled? |
Speak with your advisor. |
Apply
Progress quickly with a compact curriculum.
Work with the program advisor to select courses that fit your interests and pre-requisite
skills.
Take 6 credits of required courses.
SU 5601 - R for Geosciences in Applied and Fundamental Tasks and Research
R for Geosciences is intended to build up modern engineers and scientists and to get them acquainted with a powerful tool for the solution of miscellaneous applied statistical tasks in geosciences.
- Credits:
3.0
- Lec-Rec-Lab: (0-1-2)
- Semesters Offered:
On Demand
SU 5012 - Geospatial Data Mining and Crowdsourcing
This course comprises theory and applications of geospatial data mining. Typical application scenarios are covered. Attention is given to open-source data and systems crowdsourcing, as well as social media. Special focus on imaging and visual analytics.
- Credits:
3.0
- Lec-Rec-Lab: (0-2-1)
- Semesters Offered:
Spring
Take a 3 credit elective course.
GE 5950 - Special Topics in Geophysics
Study and discussion of geophysics topics.
- Credits:
variable to 9.0;
Repeatable to a Max of 9
- Semesters Offered:
On Demand
- Restrictions:
Permission of instructor required;
Must be enrolled in one of the following Level(s): Graduate
SU 5300 - Geospatial Monitoring of Engineering Structures and Geodynamic Processes
Course comprises methods and applications of geospatial monitoring technologies. Typical application scenarios are presented in this course. Course has a number of labs which allow students to get a hands-on experience in processing and modeling monitoring data.
- Credits:
3.0
- Lec-Rec-Lab: (2-0-2)
- Semesters Offered:
Fall
- Restrictions:
Must be enrolled in one of the following Major(s): Integrated Geospatial Tech, Surveying Engineering, Geospatial Engineering
- Pre-Requisite(s): SU 2000 or SU 2050
GE 5515 - Advanced Geoinformatics
This course covers the concepts and theories in geospatial science, GIS analysis techniques (network analysis, cost distance analysis, multi-layer raster data analysis), and remote sensing theories and applications across different spectra. Basic concepts and techniques associated with geostatistics, and analysis of spatial relationships are also introduced using examples in geophysical and environmental research.
- Credits:
3.0
- Lec-Rec-Lab: (2-0-2)
- Semesters Offered:
Spring
- Restrictions:
May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
SU 5011 - Cadastre and Land Information Systems
Topics include: an introduction to land rights, land ownership, lease, and traditional rights, mortgaging and land as capital, description of land rights, boundary description, land information systems, examples of cadastre types over the globe, and modern technical aspects.
- Credits:
3.0
- Lec-Rec-Lab: (0-2-1)
- Semesters Offered:
Fall
SS 5049 - GIS Applications for the Graduate Researcher
Applications of Geographic Information Science and Technologies for research problem identification, analysis, and dissemination. Students learn how to use GIS as a tool to collect and analyze qualitative and quantitative data for graduate research. Hands-on experience in data collection, analysis, and problem solving.
- Credits:
3.0
- Lec-Rec-Lab: (1-0-2)
- Semesters Offered:
Spring, in odd years
- Restrictions:
May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
SS 5050 - Advanced GIS Methods and Projects
Advanced application of Geographic Information Systems in social sciences as a tool to collect and analyze qualitative and quantitative data. Students gain hands-on experience in data collection, advanced spatial analysis, and scripting.
- Credits:
3.0
- Lec-Rec-Lab: (1-0-2)
- Semesters Offered:
Fall, in odd years
- Restrictions:
Permission of instructor required;
Must be enrolled in one of the following Level(s): Graduate
- Pre-Requisite(s): SS 5049
FW 5550 - Geographic Information Science and Spatial Analysis
Use of geographic information systems (GIS) in resource management. Studies various components of GIS in detail, as well as costs and benefits. Laboratory exercises use ArcGIS software package to solve resource management problems.
- Credits:
4.0
- Lec-Rec-Lab: (3-0-3)
- Semesters Offered:
Fall
- Restrictions:
May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
- Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710
FW 5553 - Python Programming for GIS
An introduction to Python scripting and basic Python coding within ArcMap. Labs cover tasks found in typical GIS workflows. Students learn how to write and debug Python scripts, models and mapping programs.
- Credits:
3.0
- Lec-Rec-Lab: (2-0-3)
- Semesters Offered:
Fall
- Pre-Requisite(s): FW 5550 or FW 3540
FW 5555 - Advanced GIS Concepts and Analysis
This course moves beyond the fundamentals of GIS to explore the application of GIS technology to environmental monitoring and resource management issues. Students learn graphic modeling techniques, network analysis, 3D visualization, geodatabase construction and management, and multivariate spatial analysis.
- Credits:
3.0
- Lec-Rec-Lab: (2-0-3)
- Semesters Offered:
Spring
- Restrictions:
May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
- Pre-Requisite(s): FW 5550
The minimum completion time is one semester.
Here is a typical schedule.
| Fall |
Spring |
| SU 5011 |
SU 5601
SU 5012 |
- Check the schedule of online classes to see which of your required or elective courses are available for upcoming semesters.
- Consult the academic calendar for fall and spring instruction start dates.
- Estimate costs based on tuition and online fees.
- Apply to the Graduate School for fall or spring semester.
- Review MTU Flex announcements related to the Graduate School.
- Check the schedule of classes to see which of your required or elective courses are available for upcoming semesters.
- Consult the academic calendar for fall and spring instruction start dates.
- Estimate costs based on tuition.
- Apply to the Graduate School for fall or spring semester.
Interested in taking a single, online course? Enroll as a non-degree seeking student.
Upon completion of the Certificate the student should be able to:
- Implement efficient strategies for geospatial big data mining as decision support
tools for the real-world application scenarios.
- Apply R technology in the geospatial data domain.
Michigan Tech was founded in 1885.
The University is accredited by the Higher Learning Commission and widely respected
by fast-paced industries, including automotive development, infrastructure, manufacturing,
and aerospace. Michigan Tech graduates deliver on rapid innovation and front-line
research, leaning into any challenge with confidence.
The College of Engineering fosters excellence in education and research.
We set out as the Michigan Mining School in 1885 to train mining engineers to better
operate copper mines. Today, more than 60 percent of Michigan Tech students are enrolled
in our 17 undergraduate and 29 graduate engineering programs across nine departments.
Our students and curriculum embrace the spirit of hard work and fortitude our founders
once had. Our online graduate courses are the same, robust classes taken by our doctorate
and masters candidates, taught directly by highly regarded faculty, with outstanding
support from staff. We invite working professionals to join these courses, bring their
own experience and challenges as part of the discussion. Leverage the national reputation
of Michigan Tech to advance your career in tech leadership.
Meet the online certified instructors.
Students have the flexibility to review class recordings later.
Teaching Statement
Dr. Chiabrando has lectured on 3D Surveying and Modeling with Laser Scanner Data 3CFU and Close Range-Photogrammetry 3CFU.
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Teaching Statement
Mr. Hollingsworth has most recently taught courses in (1) Geospatial Monitoring of Engineering Structures and Geodynamic Processes and (2) Surveying Computations and Adjustments.
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Teaching Statement
Dr. Levin's teaching interests include Earth observation systems, geodesy, photogrammetry, geospatial technologies, global positioning systems, remote sensing, cartography, and much more.
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Teaching Statement
Petr Titarov teaches Advanced Photogrammetry—Satellite Photogrammetry, as well as lecturing on Space Photogrammetry.
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