Online GIS Certificate: Geospatial Analysis & Programming
Become Competitive in Computational and Software Design Aspects of GIS and Mapping Technology
- For Professionals Seeking Advanced Analytical and GIS Programming Skills
- Fully online
- 12 credits
- No GRE
- About the Certificate
- Completion Requirements
- Admission Requirements
- Learning Outcomes
- Tuition and Fees
- When Courses Are Offered
Certificate Name and Number: Geospatial Information Science: Geospatial Analysis & Programming Certificate (CTGISA)
Delivery Mode: Online
For more information, contact the Certificate Coordinator: Dr. Gaurav Sinha.
Geospatial information science (GIScience) is the interdisciplinary field that studies the foundations of geographic concepts and the design and application of geographic information systems (GIS) and allied geospatial technologies.
This GIScience certificate is designed for professionals seeking advanced analytical and GIS programming skills to become competitive in the computational and software design aspects of GIS and mapping technology.
- For introductory GIS certificate, see Online GIS Certificate: GIS & Cartography.
Exposure to the basics of web-mapping, Python-focused GIS programming, and advanced geospatial analysis prepare students for a wide variety of computational GIS jobs across a wide spectrum of professional settings in industry and academia.
The expected time to complete this certificate is three semesters.
According to the GIS Certification Institute, the number of professionals engaged in the geospatial industry will exceed 675,000 after 2020. However, a large proportion of such professionals use geospatial hardware and software but lack the knowledge to customize geospatial software and engage in advanced geospatial analysis.
This certificate is designed to address this gap in the geospatial workforce. After certificate completion, professionals will be able to apply for better paying and more challenging positions, such as GIS analyst and (basic level) GIS developer. This certificate will also provide professionals the required analytical and computational foundations for acquiring further expertise in (geospatial) data science.
Students must complete three graduate level courses (12 credits) as listed below and must earn a minimum grade of C in every course. Additionally, as required by the graduate college, the minimum overall GPA requirement for earning this certificate is 3.0.
- GEOG 5610 - Cartography II (4 credits)
- GEOG 5740 - GIS Design & Application Development (4 credits)
- GEOG 5760 - Advanced Spatial Analysis & GIS Applications (4 credits)
- GEOG 5770 - Advanced Topics in Geoinformatics (4 credits)
2020-21 Course Schedule
Fall 2020: Take two courses:
- GEOG 5610 Cartography II
- GEOG 5740 GIS Design & Application Development
Spring 2021: Finish the certificate with:
- GEOG 5760 - Advanced Spatial Analysis & GIS Applications
- Bachelor’s Degree
- intermediate level proficiency with GIS: Eligibility for enrollment in this certificate also requires establishing prior experience and intermediate level proficiency with GIS theory, applications and software. Such proficiency in GIS may be established by providing a college transcript showing proof of having earned a C grade or higher in an upper-level GIS course equivalent to GEOG 4/5730 - Principles of GIS offered at Ohio University. Alternatively, proficiency may be established by passing a special GIS proficiency test designed for enrollment in this certificate, or by providing extensive proof of related professional work for evaluation by the certificate coordinator. If students lack proficiency in GIS, they must take the prerequisite course GEOG 5730 - Principles of GIS (4 credits). Credits for this course will not count toward this certificate.
- Resume, which must include a list of every school attended, as well as the GPA obtained at each institution.
- International students: Non-native speakers of English must demonstrate English proficiency by submitting official test scores for either the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS). Photocopies and/or faxes of English proficiency scores are not accepted.
The certificate is open to anyone who has earned a bachelor’s degree, is not currently enrolled in a graduate degree program at Ohio University, and meets the minimum requirements of admission to university graduate programs in addition to certificate-specific requirements.Additional questions about the certificate can be directed to the Certificate Coordinator.
The deadline for submitting applications for a summer session is April 1. The deadline for the fall semester is July 15. And the spring semester deadline is Dec. 1.
International Students: This certificate program does not permit full-time enrollment in residence at Ohio University, and an I-20 cannot be issued based on admission to this program.
Tuition and fees are assessed based on the number of credit hours of enrollment, Ohio residency and program. See "Graduate Programs with Differential Tuition/College of Arts & Sciences" on the Graduate Tuition and Fee web page. The 2020-21 Ohio resident cost (tuition and fees) is $512 per credit hour; the non-Ohio resident cost per credit hour is $531.
Courses are 4 credit hours each, and the certificate is a total of 12 credit hours.
Students can start any term.
Upon certificate completion, students will be able to:
- define and discuss the major theoretical issues of and emerging trends affecting the computational representation, visualization, and analysis of geographic information.
- correctly identify problems and decision-making situations that require the use of geospatial data and GIS technology.
- demonstrate ability to think spatially, engage in spatial analysis using GIS software, and interpret and communicate about geographic patterns to support geoscientific analysis and decision making.
- demonstrate practical knowledge of GIS software for mapping, database management, and geospatial analysis.
- explain and apply basic object-oriented programming concepts and best practices in geospatial programming.
- apply the Python programming language and select libraries for automating to increase efficiency, accuracy, and repeatability of complex GIS workflows.