This course constitutes a culminating experience in the MS in Spatial Data Science (SDS). The course includes a semester project that demonstrates an SDS student's skills and ability to apply advanced knowledge of spatial data science principles to make a substantial contribution to research in Spatial Data Science. Students in this course work individually to design, implement, and report on a project based on the application of spatial data science knowledge and skillsets gained through the SDS curriculum. Students will also collaborate with each other to iteratively develop and refine project topics, methods, and solutions. Students are oriented at the beginning of the course with modules reviewing research methods, public presentation strategies, and scholarly communication skills. Students commence their research immediately at the beginning of the semester and meet weekly milestones through the balance of the semester, engaging in peer review to refine their work in addition to receiving guidance from their instructor.

Due to the nature of the course, it will be offered in a 16-week semester format rather than the typical 10-week format. Please check the Course Calendar for specific registration and semester start and end dates.