Online Education for Working Professionals
Explore the principles of geospatial statistics and modeling.

Geoinformatics—Graduate Certificate

Geoinformatics

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.

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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 a 3 credit required course.

Take GE 5515 when it is offered. In Spring 2021, it will be offered as GE 5930 Special Topics in Advanced Geoinformatics.

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

GE 5930 - Special Topics in Geological Engineering

Study and discussion of geological engineering 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

Take 6 credits of elective courses.

Do not take both FW 5550 and SS 5049. Do not take both FW 5555 and SS 5050.

GE 5870 - Geostatistics & Data Analysis

This course covers the handling of spatial and temporal data for knowledge discovery. Major topics include spatial interpolation, clustering, association analysis, and supervised and unsupervised classification. Students will learn how to use geostatistical and pattern recognition tools for geoscience applications.

  • Credits: 3.0
  • Lec-Rec-Lab: (2-0-1)
  • Semesters Offered: Fall, Spring
  • Pre-Requisite(s): GE 3250

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 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

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

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

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

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

The minimum completion time is two semesters.

Here is a typical schedule.

Fall Spring
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:

  1. 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.
  2. 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.
  3. 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

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.

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Don Lafreniere

Don Lafreniere

Department Chair, Social Sciences

Teaching Statement

 

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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.

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Tao Liu

Tao Liu

Assistant Professor in Remote Sensing and GIS

Thomas Oommen

Thomas Oommen

Professor, Geological and Mining Engineering and Sciences

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.

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Xin Xi

Xin Xi

Assistant Professor, Geological and Mining Engineering and Sciences

Teaching Statement

Dr. Xi teaches advanced geoinformatics, introduction to GIS, and Python programming in geosciences.

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