TRANSFORM THE WORLD WITH DATA MAPPING

Geographic Information Systems and Data Communication Professional Certificate

Imagine helping a community map out childcare locations with open spots, air quality in wildfire zones, how disease spreads, or connections between homelessness and race. GIS does all of this by transforming data into visuals used to better our society.

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Program Snapshot

Next Start Date

July 15, 2024

How Often

Start dates every semester

Cost

Course: $1,600 | Certificate: $6,400

Learning Format

Online

Online Learning Type

Asynchronous

Duration

Course: 8 - 9 weeks | Certificate: 12 months

Time Commitment

10-12 hrs./wk.

Credential

Digital Badge

VA Benefit Eligible

No

Scholarships

No

Discounts

20% discount for UVM Affiliates and UVM Medical Center employees, and their spouses and dependents

Credits

Non-credit

Overview

Map the way forward with GIS

Thanks to satellites, millions of images of the Earth and human activities are at our fingertips. Computers store massive amounts of data and digital software is rapidly developing. Yet, how do we make sense of all this data to create positive change? That’s where skills in Geospatial concepts come in.

This 4-course, non-credit GIS certificate program covers Geographical Information Systems (GIS), remote sensing, geospatial computation, and data communication. All so you can turn big data into useful information that helps solve real-world problems whether socioeconomic or environmental.

Whether you’re new to the industry or looking to advance your career, the program is customizable based on your interests and designed to improve your critical thinking and applied problem-solving skills.

Why choose GIS at UVM?

Learn the Latest Software

Using ESRI’s ArcGIS and other leading software, you’ll translate a range of geospatial data into layered maps that allow complex themes to be communicated to wider audiences.

Build on Our GIS Credibility

Establish your credibility in the world of GIS with UVM, a recognized leader in the use of geospatial technologies and research.

Gain Advanced Skills

You’ll learn to go beyond “off the shelf” buttons toward the ability to customize workflows, scripts, or models in Python and R.

“GIS and geospatial analysis is a lot more than a map…a map is a product, but what we’re talking about is the integration of information and analysis of information. It’s a really powerful strategy to answer questions.”

Gillian Galfor, GIS Certificate Instructor and Program Director 

Who is GIS right for? 

If you love maps, data, and technology and have a passion for sparking positive change in the world, you’ve come to the right place. 

Whether you’re looking to get started in GIS, or want to expand your skill set, UVM’s GIS certificate program is right for you if you want to:

  • Empower leaders with tools to make more informed decisions. 
  • Be curious and investigate what-if scenarios.
  • Engage with real-world applications and the latest technologies.
  • Pursue your passion for biodiversity conservation, forest fire suppression, agricultural monitoring, humanitarian relief, and much more.

UVM’s GIS & Data Communication Professional Certificate is designed to help you succeed in the growing field of GIS and geospatial analysis. No prior GIS experience or background in coding or computer programming is required.

“Given the scope of this course, it’s completely appropriate for a beginner and novice to both coding and remote sensing to be comfortable and not overwhelmed…in taking these courses a key skill you’ll acquire is the ability to be able to decipher what you’re seeing when you’re looking at any map.”

Amanda Armstrong, NASA Senior Research Scientist and UVM GIS instructor

Curriculum

Choose four courses and when to take them

This 4-course certificate is fully online and designed to be completed within one year with the option of extending based on your individual academic needs. To provide you with maximum flexibility, you choose the 4 courses from the list below based on your interests, experience level, and schedule. All courses are 8-9 weeks long.

While the program focuses on a handful of software tools, the introductory course will help students adapt to new or preferred software. Students will also increase their understanding of data collecting in the field with GPS and apps, problem-solving with spatial analysis in ArcGIS, map-making through cartography and data visualization, and environmental modeling.

By the end of this program, you will have gained the skills to:

  • Use ArcGIS Pro as a tool to learn conceptual underpinnings of and practical applications of GIS.
  • Harness remote sensing as a tool for environmental or landscape problem-solving.
  • Analyze data to reveal patterns and relationships to better inform decision-makers.
  • Create impactful maps and visualizations of large and complex datasets that encourage comparison and visual analysis by the viewer.
  • Go beyond “off the shelf” buttons towards the ability to customize workflows, scripts, or models in Python.

Registration for summer and fall courses is coming soon!

CourseSummer 2024
Session
Fall 2024
Session
Introduction to GIS7/29/24 – 9/27/24
Advanced GIS10/7/24 – 12/13/24**
Data Visualization and Communication
Remote Sensing Foundations
Geospatial Computation8/26/24 – 10/25/24
Independent Study*7/15/24 – 9/6/24Fall I: 8/26/24 – 10/18/24
Fall II: 10/28/24 – 12/20/24

*The Independent Study requires the student to submit a proposal. Please view the GIS & Data Communication Independent Study under course descriptions for more information

**Includes Thanksgiving Break week.

Sample Curriculum with a Fall Start

  • July – Sept.: Intro to GIS
  • Oct. – Dec.: Advanced GIS 
  • Jan. – March: Remote Sensing Foundations
  • April – May: GIS Independent Study

Not sure whether to start with the intro or advanced course? Check out our FAQ.

Course Descriptions

Snapshot:

Fall Start Date: July 29, 2024
Instructor: Dennis Baldwin

Do I enroll in Introduction to GIS or Advanced GIS?

A Geographic Information System (GIS) is a computer-based tool for managing, documenting, analyzing, and presenting data and information. GIS allows us to investigate the spatial (location, size, and shape), temporal and descriptive qualities (e.g. population, % coverage) of data across multiple disciplines and is increasingly used to tell complicated “stories” using printed and web-based materials.

This course uses the most current version of ESRI’s ArcGIS Pro software.

This course will introduce the student to the basic principles and techniques of GIS through a mixture of readings, videos, slide-based presentations, and real-world examples. Participants will gain practical skills in the application of GIS to data analysis and problem-solving through the completion of lab assignments and participation in the course Discussion Forum.

By the end of the course, the student will be able to:

  • Develop a practical understanding of GPS and ArcGIS concepts (e.g., data & file types, projections & coordinate systems, and spatial relationships) & geoprocessing techniques
  • Perform spatial analysis using desktop and web-based ArcGIS software
  • Practice effective communication using the (technical) language of ArcGIS, presentation-quality maps, and web applications
  • Use best practices for creating, storing, and managing data in a variety of geospatial and tabular formats
  • Gain experience identifying and accessing publicly available data

Snapshot:

Spring Start Date: March 27, 2024
Spring Registration Deadline: March 20, 2024
Instructor: Dennis Baldwin

Fall 2024 Start Date: October 7, 2024
Instructor: Dennis Baldwin

Do I enroll in Introduction to GIS or Advanced GIS?

Geographic Information Systems (GIS) are increasingly featured as an integrating technology for analyzing economic, social, and environmental data. This course will expose the learner to advanced techniques for collecting, curating, analyzing, and understanding spatial data and communicating technical findings to a broad range of audiences. Building on the content of the Introductory Course, Advanced GIS will prepare the student to independently conduct spatial analyses.

This course uses the most current version of ESRI’s ArcGIS Pro software.

Learning materials will include a mixture of readings, videos, slide-based presentations, and critical evaluation of real-world examples. Participants will gain practical skills in the application of ArcGIS to data analysis and problem-solving through the completion of lab assignments and participation in the course Discussion Forum.

By the end of the course, the student will be able to:

  • Use best practices for creating, storing and managing data in a variety of geospatial and tabular formats
  • Integrate public data resources from multiple repositories (e.g. The National Map, US Census Bureau, Vermont Center for Geographic Information) into a cohesive analytic framework
  • Identify ethical questions surrounding data creation, analysis, and representation
  • Apply advanced vector (e.g. network analyses, attribute conflation, queries) and raster (e.g. hydrology, interpolation, raster calculator) geoprocessing tools to analyze spatial data
  • Automate geoprocessing workflows using Model Builder and the Python programming language
  • Apply critical thinking skills to assess the suitability of available data (e.g. scale, resolution, accuracy, and currency) and/or geoprocessing approaches for addressing real-world issues
  • Acquire the necessary skills to develop and execute a project requiring GIS as a management, analytical, and/or visualization tool
  • Practice effective communication using the (technical) language of GIS, presentation-quality maps and web applications

Snapshot:

Spring Start Date: January 16, 2024
Instructor: Kaylyn Levine

Decisions in our work lives are driven more and more by data. Analyzing this data can reveal patterns and relationships that can be used to better inform decision-makers. One way to present this analysis is through data visualization, which is the graphical representation of information.

Visualizations such as charts, graphs, or maps can help make data easier to understand, leading to better decisions. Data-driven decisions could mean the difference between the success or failure of any organization. There are many tools for visualizing data, but without a solid grasp on the fundamentals of graphic design and perceptual theory, visualizations may not convey the intended message.

This course will introduce students to the fundamentals of data visualization and communication. Students will learn the ways humans use their cognitive and perceptual abilities to comprehend information, best practices for creating compelling and effective data visualizations, and the many nuanced factors influencing the successful application of these practices.

By the end of the course, the student will be able to:

  • Apply a framework for communication to get the right people to the right content at the right time
  • Recognize, explain, and identify solutions for some of the challenges we face working with data
  • Produce an entire conceptual data story in a form that will allow for future execution of detailed individual components
  • Describe human visual perception and apply it to specific design and visualization decisions
  • Effectively use visual variables such as size, value, texture, color, orientation, and shape to communicate information
  • Recognize the purpose for different data visuals and when and how to apply them
  • Create impactful maps and visualizations that enable understanding of complex information

Snapshot:

Spring Start Date: January 16, 2024
Instructor: Eva Kinnebrew

Significant advances in access to geospatial datasets and cloud-based computing resources have ushered in a new era of user-friendly big data analysis, and satellite remote sensing has become a critical component of many environmental research and monitoring programs. However, effective use of satellite imagery requires a foundational understanding of sensor, image, and surface characteristics as well as methods for translating analysis-ready data to decision-ready analysis.

This course will introduce students to fundamentals of remote sensing theory and image processing techniques using the Google Earth Engine platform, which “combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities.” By integrating hands-on practical training with evidence-based experiential learning, students will establish a basic understanding of how to use remote sensing as a tool for environmental problem-solving. This course uses Javascript for creating geospatial workflows in the Google Earth Engine Code Editor; any coding background is helpful but not required.

By the end of the course, the student will be able to:

  • Demonstrate the physical processes involved in the acquisition of remote sensing imagery, as well as the unique spectral, spatial, temporal and radiometric properties of different image sources
  • Identify what constitutes a remotely sensed data product
  • Build a working knowledge of a wide array of geospatial datasets available in the Earth Engine Data Catalog, including optical, thermal, and microwave imagery from the Landsat, MODIS, Sentinel-2, and Sentinel-1 satellites, and derived products such as the Hansen Global Forest Change and JRC Global Surface Water datasets
  • Use the Earth Engine Code Editor to develop basic geospatial workflows using the JavaScript API
  • Use static and interactive data visualization techniques including tables, maps, charts, GIFs and Earth Engine Apps
  • Apply standard multi-spectral and multi-temporal image processing techniques, including basics of land cover classification and change detection
  • Develop a portfolio of example scripts, data visualizations, and analyses across a range of environmental application areas

Snapshot:

Fall 2024 Start Date: August 26, 2024
Instructor: TBA

Geospatial Computation is the study of general computational methods applied to spatial and spatiotemporal data for exploratory, confirmatory, descriptive, or predictive analysis. This course introduces foundational concepts in geospatial computation and its applications in spatial data science within the context of geographic information systems (GIS). Computational approaches in spatial simulation, exploratory data analysis, predictive analysis, and geospatial data visualization will be elaborated. Implementation of data-science geospatial approaches in ArcGIS will be covered in the context of spatial problem-solving in a string of applied computational project assignments. Prior experience with ArcGIS is required.

This course uses the most current version of ESRI’s ArcGIS Pro software. Access to software will
be provided by the department.

By the end of this course, the student will be able to:

  • Apply appropriate geo-computational approaches in spatial data science for a wide variety of spatial problems
  • Apply and interpret spatial pattern mining, spatial regression, and exploratory data analysis
  • Recognize stages of spatial analysis that rely on geospatial computation
  • Develop repeatable analysis workflows leveraging GIS
  • Create and present a project and professional quality story map based on your research
    questions and data
  • Apply knowledge of GIS approaches to geospatial computation

Snapshot

Summer 2024

  • Summer Session Start Date: July 15, 2024 – Application Deadline: July 1, 2024

Fall 2024

  • Fall I Session Start Date: August 26, 2024 – Application Deadline: August 12, 2024
  • Fall II Session Start Date: October 28, 2024 – Application Deadline: October 14, 2024

Applications will be reviewed by the selected mentor on a rolling basis. Applications are due two weeks before the session’s start date. 

Study proposals include but are not limited to topics in: Agriculture, Education, Environment, Environmental Justice, Data Science, Engineering, Food Systems, Forestry, Government, Health, Natural Resources, Water Resources, Urban Planning, Transportation, Marketing/Market Research. Technical approaches may focus on student-identified topics in GIS, remote sensing, and data communication.

Independent Study Process

Prerequisites

1. You must have successfully completed: 

  • Intro to GIS and  
  • Advanced GIS  
  • Or receive approval of equivalent experience. 

2. You have selected an Independent Study mentor from our list of instructors. We encourage students to contact their identified mentor before submitting the proposal. 

Proposal Process

Prospective students should fill out the GIS Independent Study Proposal.  

Proposal Components 

  • Proposed Independent Study Description 
  • Educational Learning Objectives 
  • Scaffolded Learning 
  • Approach / Methods 
  • Deliverables and Evaluation 
  • Bibliography 
  • Mentor Check-ins 

Upon submission, the form is sent to the mentor of choice. The mentor has up to 5 business days to review the proposal and confirm their availability.  

If approved: 

  • The mentor will contact you directly to confirm approval.  
  • The PACE GIS Team will contact you with registration details. 

If not approved: 

  • The PACE GIS Team will contact you. 

Learning Objectives

By the end of this course, you will be able to: 

  • Develop customized learning objectives in collaboration with your mentor. 
  • Design and complete a project with a clear study question whose answer(s) are derived through the application of GIS, remote sensing, data visualization, geospatial computation or related analyses. 
  • Find, process and apply data to investigate a study question. 
  • Revise study design, initial results and findings based on targeted feedback from your mentor. 
  • Adapt project goals based on data availability, format or other logistical constraints. 
  • Present professional quality study findings that effectively communicate the results of your work. 

What is an Independent Study?

An independent study is a major project intended to allow students to reinforce and polish their GIS and data communication skills. Participants design their own project which attempts to answer a specific question. Projects should involve the integration of GIS, remote sensing concepts and / or data visualization, spatial and tabular data sets and the use of geospatial and statistical methods. After defining the scope, students should plan on spending 10-12 hours each week working on the project for the 8-week course. They will have meetings once per week at a selected, predetermined time with their Independent Study Mentor. The purpose of these meetings is to ensure that adequate progress is being made and that the final product will meet the educational objectives defined by the student. 

What is an Independent Study Mentor?

An Independent Study Mentor is an experienced professional who has agreed to mentor a student in the independent study project. The mentor engages in regularly scheduled check-ins (e.g., weekly) to evaluate student progress, advise on critical decision points, and foster student problem-solving. Ideally, the mentor’s area of expertise is aligned with the student’s project to the extent they might advise on data sets or methodologies, although the mentor is not meant to be a technical troubleshooter. The UVM GIS Certificate Program has a number of mentors available to work with 5-6 students per year based on their availability. 

Learn from NASA Senior Research Scientist Amanda Armstrong

Amanda Armstrong is a senior research scientist and the instructor of UVM’s Remote Sensing Foundations course. In this 30-minute webinar, Armstrong and program director Gillian Galford provide a deep dive into the course and share career opportunities in GIS.

Student Stories

Our students use customized workflows and models, achieved with geospatial computation in Python and R computer languages. Communication of the results, such as maps and data, is both an art and a science that is increasingly utilized in reports, news, websites, and social media. See how some of our GIS students have pursued their passion for maps and data with GIS. 

See how GIS is helping reduce deforestation

GIS is enhanced by the derivation of information from remote sensing, such as digital images of the earth used to map roads or deforestation. 

A UVM-led team found mining has caused 10 percent of Amazon deforestation in the past decade. With the help of GIS, they were able to discover that 90 percent of this loss happened outside government mining leases.

Career Outlook

Increase your earning potential and career prospects with GIS

There is increasing demand by employers for professionals in GIS and geospatial analysis. The U.S. Bureau of Labor Statistics identifies GIS as a field with a “bright outlook” for future career opportunities and higher-than-average growth of 10 percent per year. 

In 2023, the median income for those working in GIS was $95,270. Skills in ESRI’s ArcGIS Pro software are highly sought after in GIS job postings. 

Here is a look at some of the jobs you can get with expertise in GIS: 

  • Field technician
  • Forester
  • Data scientist
  • Healthcare data analyst
  • Software developer
  • Business analyst
  • Consultant
  • GIS specialist
  • Intelligence analyst
  • Environmental scientist
  • Image analyst
  • Geospatial developer
  • Geologist
  • Urban planner
  • Cartographer
  • Remote sensing or UAS scientist

“We have students who have gone to work with GPS companies like Trimble, people who go on to work for the government or NASA, or mapping and managing trails and recreation for state parks. There’s a really high demand in health informatics…people are really realizing that they need this data.”

Gillian Galfor, GIS Certificate Instructor and Program Director

Skills relevant to employers provided by this certificate include:

  • Geographical Information Systems (GIS using ArcGIS Pro)
  • GPS technology
  • Map-making, data visualization and communication
  • Database management
  • Remote sensing
  • Web mapping
  • Workflow programming with code (e.g. Python)

FAQ

The GIS & Data Communication Professional Certificate is designed for non-degree students, such as professionals or UVM staff, who are new to GIS or want to advance their skillsets in geospatial technologies & research. Courses can be taken individually or as part of the certificate.

The 4-course GIS & Data Communication Professional Certificate is designed to be completed within one year. Students may extend their timeline based on their individual academic needs and course availability for a maximum of up to two years to complete all requirements. Please email learn@uvm.edu to discuss your certificate pathway.

If you are new to GIS (or ArcGIS Pro), you will enroll in Introduction to GIS. This course assumes no prior background with GIS (or ArcGIS Pro). For professionals with GIS (and ArcGIS Pro) experience, you may want to start with Advanced GIS. Our enrollment coaches can help you determine what is best for your GIS certificate pathway.

Courses in the GIS Certificate introduce students to programming geospatial workflows, but assume no prior experience.

  • Intro and Advanced GIS introduce some basics with Python.
  • Geospatial Computation utilizes Python in addition to ArcGIS Pro.
  • Remote Sensing involves coding with JavaScript in the Google Earth Engine Code Editor.

Students will utilize UVM’s Virtual Desktop Interface to access ESRI’s ArcGIS software licensed by the university. They will need access to a laptop or desktop computer and the internet. Due to the visual nature of this field, a monitor of 13” or larger is recommended.
Students with their own computer have the option to install ArcGIS if they are running Windows and have enough RAM (recommend 16 GB). The complete system requirements and recommendations can be found here.

Students without a computer capable of running ArcGIS can use our Virtual Desktop Interface (VDI).

Participants should self-select into Introduction or Advanced GIS based on their experience and skills.

Professionals returning to upgrade their skills from an earlier software version may appreciate starting from the beginning with Introduction to GIS. All GIS courses use ESRI’s ArcGIS Pro.

Enrollment in Advanced GIS assumes you have taken Introduction to GIS or its equivalent and are comfortable learning with ArcGIS Pro. You should be comfortable with concepts such as raster and vector data types, projections and coordinate systems, and basic concepts of cartography. You should be familiar with tools such as spatial analyst and raster calculator.

See course descriptions for more details on the content of these courses.

Instructors are selected based on their knowledge of the subject area and skills in teaching. Course evaluations are used to make improvements and provide feedback. The certificate, courses and instructors are periodically assessed relative to the course learning objectives and outcomes.

Course materials will be delivered online. Intro to GIS has one required textbook:  Paul Bolstad’s GIS Fundamentals, 7th ed.. This book is also helpful for the Advanced GIS course, and will be referred to frequently.

Course work consists of materials including readings and videos and assignments including comprehension self-quizzes, written or video reports, maps, and computer software exercises.

On average, the courses take 10-12 hours of time commitment per week.

The program is appropriate for graduate level learners but requires no prior experience.

The courses are designed to be the equivalent of a 3-credit course experience at the level of a 3xxx-4xxx course at UVM (advanced Bachelors students or Masters/PhD students).

Instructors have vast experience with the tools they teach. In the cases of specific technical issues, we have assistance from the GIS software manager and technical support at UVM.

All courses are asynchronous. Instructors or student groups may coordinate occasional live meet-ups or special guests however the primary modality is asynchronous.

Each individual course is $1,600, and the full certificate is $6,400 (4 courses). Each course is 8 weeks long, and most students complete the certificate within 12 months.

Tuition is the same for all students and does not differ based on a student’s residency (out-of-state, in-state, or international).

Learn about options for discounts, grants, loans, scholarships, and more on our tuition and financial aid page.

Students may register by paying the full $1,600 program fee online via credit card or by calling us at 802-656-8407 to make a partial payment of $500. Should you make a partial payment, the remaining $1,100 must be paid in full no later than two weeks prior to the start of this offering. If payment is not received by then, you will automatically be dropped from the course the following business day. Refunds will be issued less a $25.00 cancellation fee.

Payment plans are not currently available for this program. Tuition must be paid in full two weeks prior to beginning the program.

If you need to cancel your attendance, you must notify us via email at learn@uvm.edu or call us at (802) 656-2085  at least three business days prior to the start date of the course to receive a full refund, less a $25 cancellation fee. If a medical condition necessitates cancellation/withdrawal (documentation provided), this will be reviewed by our Studies Committee for any type of refund.

If you are a non-credit student seeking accessibility support, please email access@uvm.edu and the UVM Student Accessibility Services team will be able to assist. In your email, please include that you do not have a 95 number/NetID.

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  • Have more basic questions about Professional and Distance Education? Visit our About Us and FAQs pages.