Through courses in our program, students learn to explore and analyze spatial data, develop technical mapping skills, and apply visual design principles to their practice. The certificate program courses teach students how to acquire and create data for use in various projects. Proper assessment of spatial data quality is a core component of the Program. Using software like Esri’s ArcGIS and QGIS, students learn many of the powerful tools available for transforming spreadsheets into stylized maps and creative graphics.

Increasingly, there are many tools for sharing GIS products on the web and through mobile applications. Certificate program courses examine the principles of design for the web, interactive design, and the technical underpinnings of online mapping using Carto and Mapbox, among others. With expertise in the programming languages JavaScript, Python and R, students learn to build dynamic web-based maps, mobile apps, and methods for incorporating graphic data into websites and blogs.

Download the full Program Packet below for more information and the Calendar for course schedules.

Courses

The certificate program requires the successful completion of 225 hours of study: 135 hours of required courses and 90 hours of electives (5-6 classes).

XSAVI 700 - Foundations: Spatial Thinking, Data and Design (Core course)

Learn to tell stories with maps and data. There’s more than meets the eye when it comes to creating accurate, compelling visualizations based on GIS analysis. This course introduces the critical fundamentals of spatial theory/spatial relationships, cartography, design, and data visualization. You will acquire the skills to properly assess and analyze spatial data and maximize the message of your map output through engaging design. The course is for beginning and experienced GIS users as it covers important aspects of design which are often overlooked in traditional GIS courses.

Prerequisite: None
Usually offered: Fall and spring semesters
45 hours, $1,220

XSAVI 701 - Introduction to GIS: ArcGIS (Core course)

Get down to business in GIS by learning how to use the best available analytical software. As you brush up on the basics of spatial theory, projections, and cartography, the course will guide you through the most commonly used software toolsets and geoprocessing techniques in Esri’s ArcGIS. Through practical examples, you’ll learn how to create data from scratch, geocode tabular data, and work with open data and census information; all with the goal of understanding spatial patterns related to environmental or urban issues. You’ll also learn how to choose the best data sources and create professional quality map output.

Prerequisite: None
Usually offered: Fall and spring semesters
45 hours, $1,220

XSAVI 702 - Introduction to GIS: QGIS (Core course)

Get down to business in GIS by learning how to use the best available analytical software. As you brush up on the basics of spatial theory, projections, and cartography, the course will guide you through the most commonly used software toolsets and geoprocessing techniques in the free and open source software, QGIS. Through practical examples, you’ll learn how to create data from scratch, geocode tabular data, and work with open data and census information; all with the goal of understanding spatial patterns related to environmental or urban issues. You’ll also learn how to choose the best data sources and create professional quality map output.

Prerequisite: None
Usually offered: Fall and spring semesters
45 hours, $1,220

XSAVI 750 - Mining the Web: How to Scrape, Analyze and Map Open Data

Data is all around us. There are now seemingly unlimited datasets on the web but they aren’t always easy to obtain. And, social media is generating new kinds of data that can be analyzed spatially. You too can conquer the world “wild” web and create sophisticated maps and visualizations. Through a course project, you will mine open data from a variety of platforms and experiment with different mapping/visualization techniques, while also learning how to critically assess the utility and accuracy of data. You will work with tools like QGIS, CARTO, OpenRefine, and APIs. Additionally, you will be introduced to the Python programming language.

Prerequisite: Some experience using open data is helpful
Usually offered: Fall semester
30 hours, $815

XSAVI 751 - Data-Driven Decision Making: Demographic Analysis

What’s the difference between the decennial census and the American Community Survey? A lot more than you might think. This course will ensure that you are a census data rock star and will dig deep into important considerations such as the statistical margin of error, impacts of geographic scale, and timeframe of study. You will also learn how to apply dasymetric mapping which allows for census data to be assigned to appropriate land uses within census geographies to produce more realistic maps of population density and distribution.

Prerequisite: XSAVI 700 & XSAVI 701 or comparable experience
Usually offered: Fall semester
30 hours, $815

XSAVI 754 - Mapping the Physical World: Environment and Science

GIS is a powerful tool for answering questions about the intersection of people and the environment. This class will focus on using spatial analysis to understand how changes in our physical surroundings impact human populations. Students will use desktop GIS (ArcGIS and/or QGIS) to perform targeted research on questions like: What populations are most at risk given sea level rise predictions? Or, what impacts can green infrastructure have on stormwater runoff to reduce flooding? Additionally, students will get assistance in navigating the many available datasets available for these topics.

Prerequisite: XSAVI 700 & XSAVI 701/702 or comparable experience
Usually offered: Fall semester
30 hours, $815

XSAVI 755 - Graphic Design and UX for Cartography

Learn the foundations of visual and interaction design to effectively tell stories with maps and data. In discussion, labs, and critiques, we will explore how to make intentional choices about color, type, symbology, and layout for maps and other visualizations. We will experiment with different tools – both physical and digital, drawing on semiotics theory, Josef Albers’ color exercises, and emerging technology. Halfway through the course we will shift our focus to digital interaction and use real-world scenarios to apply design thinking to a mapping project workflow.

Prerequisite: None
Usually offered: Summer semester
30 hours, $815

XSAVI 780 - Interactive Web Mapping, Programming and Design

Want to know the secrets behind all those amazing maps you see on the internet? This course will introduce you to the skills needed to build dynamic web-based maps. You will learn the principles of GIS, design for the web, interactive design, and user experience. By course completion, you will be able to work with a programming language like JavaScript and online mapping platforms in order to create professional looking interactive maps and map-based charts and graphics. You’ll also learn tools and software like Git, Sublime Text 3, Leaflet, CSS, and web mapping tools (Carto, MapBox).

Prerequisite: Basic programming experience is helpful but not required
Usually offered: Fall and spring semesters
45 hours, $1,220

XSAVI 805 - Advanced GIS (Core course)

Now that you have a firm grasp on the basics, Advanced GIS will present you with more sophisticated and powerful spatial analysis tools. This course focuses on expansive analytical projects using vector and raster data in GIS modeling, network analysis, density analysis, and 3D environments. Students will be introduced to Python for ArcGIS and, additionally, students will learn exploratory data analysis and be introduced to spatial statistics. Tools include ArcGIS extensions such as Network, Spatial, 3D, and Geostatistical Analyst.

Prerequisite: XSAVI 700 & XSAVI 701 or comparable experience
Usually offered: Spring semester
45 hours, $1,220

XSAVI 810 - Introduction to Python Scripting for Geospatial

Stand out from the usual GIS crowd by learning how to program and unlock the potential of geospatial scripting and programming with Python. Python is one of the most popular, user-friendly and in-demand programming languages for Geospatial applications. Move beyond the out-of-the-box capabilities of ArcGIS by learning how to automate lengthy GIS processes, create custom/shareable tools and scripts, synthesize data and apply geoprocessing in ways that reduce manual overhead and help iterate and generate new insights more quickly. We’ll introduce you to Python and then dive into ArcPy and other useful data and geospatial Python libraries for data science/data carpentry (pandas), interacting with API’s for applications such as geocoding (geopy) and data retrieval (US Census API) and creating mapping applications on Carto (CartoDB) programmatically with the carto-python library.

Prerequisite: XSAVI 805 & XSAVI 750 or comparable experience
Usually offered: Fall/Summer semester
30 hours, $815

XSAVI 820 - R and Spatial Statistics for GIS

As the amount of available data grows exponentially, data driven decision making has become the standard approach in both the public and private sectors. Performing data analytics on geographical data requires specialized statistical methods. GIS users will learn how to apply spatial statistics to derive valuable insight from spatial data. You will learn how to code in R, an open source scientific language that is becoming the standard for data analysis and visualization. QGIS and GeoDa will also be taught (GeoDa combines analytics and visualizations, allowing maps and statistics to be viewed in tandem).

Prerequisite: At least XSAVI 701/702 or comparable experience
Usually offered: Spring semester
45 hours, $1,220

XSAVI 850 - Practicum

Apply your new GIS and design expertise in a professional setting while developing new skills and building your network through on-site participation. Pratt SAVI staff will facilitate your internship placement at an NYC community-based organization (CBO), or you can work with SAVI on a CBO project. For more information, please contact Jessie Braden at savi@pratt.edu.

Prerequisite: At least three GIS and Design certificate program courses should be completed prior to an independent study.
30 hours, $815

XSAVI 851 - Independent Study

Perform a larger individual research project under the guidance of a professional practitioner or Pratt SAVI staff member. This is a chance for a deep dive into a topic and provides an opportunity for a meaningful contribution to your certificate program final portfolio. For more information, please contact Jessie Braden at savi@pratt.edu.

Prerequisite: At least three GIS and Design certificate program courses should be completed prior to an independent study.
30 hours, $815