GRADUATE INTERDISCIPLINARY SPECIALIZATIONS

The graduate interdisciplinary specialization (GIS) provides graduate students with access to interdisciplinary study and provides formal recognition of such study on the student's transcript. A graduate interdisciplinary specialization involves two or more graduate programs outside the student's major graduate program. More information is available from the Graduate School.

GIS programs involving Statistics Department faculty and students are:

GIS in Geospatial Data and Analysis

The Graduate Interdisciplinary Specialization (GIS) in Geospatial Data and Analysis (GSDA) was created by the Departments of Statistics and Geography in recognition of the fact that research in the physical, environmental, and earth sciences requires a diverse set of technical skills involving the collection, storage, processing, and analysis of spatial data. Scientists possessing these interdisciplinary technical skills are becoming indispensable members of research teams studying complex problems of global significance. The GSDA curriculum consists of courses in the core areas of geographic information systems, spatial statistics, and remote sensing. Graduate students from both geography and statistics, in addition to students in the biological, environmental, physical, and social sciences and engineering who have an interest in the analysis of spatial data are encouraged to participate in this non-degree program.

More information is available at http://www.gsda.osu.edu.

GIS in College and University Teaching

The GIS in College and University Teaching can be earned by both masters and doctoral students in the Department of Statistics. You can choose your curriculum, provided that you take two required courses (Stat 603 - Teaching Statistics; EDU P&L 851 - College Teaching). You will also be involved in a mentored-teaching experience. This GIS is an excellent way for those interested in academic positions to have their transcripts say that they have training in college-level teaching. For more information, please contact Dr. Jackie Miller at miller.203@osu.edu.

More information is also available at http://ehe.osu.edu/edpl/GIS.html