Online Education for Working Professionals
Explore the principles of geospatial statistics and modeling.
Meet the demand for geospatial professionals and big data analytics experts.
Develop knowledge and skills in geospatial data analytics and information science. Explore environmental geoscience, geospatial statistics, modeling and visualization, predictive analytics, and remote sensing applications. Master industry standard tools, such as ArcGIS, Python, and R. This certificate emphasizes data programming and analytics in order to build skills for geoinformatics-related, data scientist, and geoscience engineering jobs. Elevate your career in surveying and geoinformatics engineering, forestry, civil and environmental engineering, social sciences, or business.
3 courses in 3 semesters.
| Department | Geological and Mining Engineering and Sciences |
|---|---|
| Admissions requirement | BS degree. |
| Contact | Luke Bowman |
| 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. |
Progress quickly with a compact curriculum.
Work with the program advisor to select courses that fit your interests and pre-requisite skills.
Take 9 credits of elective courses.
Do not take both FW 5550 and SS 5049. Do not take both FW 5555 and SS 5050.
The minimum completion time is two semesters.
Here are the semester offerings.
| Fall | Spring |
|---|---|
| GE 5280 FW 5553 FW 5550 FW 5555 SS 5049 SS 5050 |
GE 5515 GE 5870 SU 5012 |
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:
- Employ core concepts in geoinformatics, including computational components, data processing and visualization features, and statistical functions in applications of geospatial science in earth resource and environmental science settings.
- Properly use commercial tools (e.g., ESRI ArcGIS, Python) and/or equivalent user-developed tools in applications of appropriate large-scale data analysis and visualization to earth resource and environmental science related problems.
- Effectively communicate the results of data processing and the interpretations of the resulting products.
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.
Snehamoy Chatterjee
Associate Professor, Geological and Mining Engineering and Sciences
Teaching Statement
Dr. Chatterjee teaches mine planning and design, geostatistics and data analysis, advanced geomechanics, and resource and reserve estimation.
Eugene Levin, CP
Adjunct Associate Professor, Civil, Environmental, and Geospatial Engineering
Teaching Statement
Dr. Levin's teaching interests include Earth observation systems, geodesy, photogrammetry, geospatial technologies, global positioning systems, remote sensing, cartography, and much more.
Teaching Statement
Teaching Statement
Dr. Oommen teaches courses in engineering geology and rock mechanics, computer methods in geomechanics, advanced computational methods in geomechanics, and applied remote sensing.
Teaching Statement
Dr. Xi teaches advanced geoinformatics, introduction to GIS, and Python programming in geosciences.