Online Education for Working Professionals
Stay at the forefront of geospatial data mining and analytics.

Geospatial Data Science and Technology—Graduate Certificate

Geospatial Data Science and Technology

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.

Department Civil, Environmental, and Geospatial Engineering
Admissions requirement BS degree.
Contact Angela Keranen
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.

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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.

Take a 3 credit elective course.

The minimum completion time is one semester.

Here is a typical schedule.

Fall Spring
SU 5011 SU 5601
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:

  1. Implement efficient strategies for geospatial big data mining as decision support tools for the real-world application scenarios.
  2. 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.

Filiberto Chiabrando

Filiberto Chiabrando

Adjunct Associate Professor, Civil, Environmental, and Geospatial Engineering

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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Jeffery Hollingsworth

Jeffery Hollingsworth

Professor of Practice, Civil, Environmental, and Geospatial Engineering

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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Eugene Levin, CP

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.

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Roman Shults

Roman Shults

Adjunct Professor, Civil, Environmental, and Geospatial Engineering

Teaching Statement

Dr. Shults teaches courses related to geomatics and geospatial data science and technology.

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Petr Titarov

Petr Titarov

Adjunct Assistant Professor, Civil, Environmental, and Geospatial Engineering

Teaching Statement

Petr Titarov teaches Advanced Photogrammetry—Satellite Photogrammetry, as well as lecturing on Space Photogrammetry.

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