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.

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
  • Pre-Requisite(s): GE 2010

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 - Offered alternate years beginning with the 2018-2019 academic year
  • 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 - Offered alternate years beginning with the 2019-2020 academic year
  • 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 ArcMap 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

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.

View Profile

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.

View Profile

Alfred Leick

Alfred Leick

Adjunct Professor, Civil, Environmental, and Geospatial Engineering

Teaching Statement

Dr. Leick has taught courses on estimation, geodesy, and GPS positioning.

View Profile

Eugene Levin, CP

Eugene Levin, CP

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.

View Profile

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.

View Profile

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.

View Profile