While data science is focused on the general acquisition, storage, analysis, and storage of data, spatial or geospatial data science narrow the field to that of specific locations. When it comes to master's degrees, there are a limited number of programs that focus only on spatial data science but some data science and spatial analytics programs will have courses dedicated to spatial or geospatial subject areas. This article will provide an overview of some of the courses that these master's degree programs are likely to include.
Overview of Courses in Master's Degree Programs Related to Spatial Data Science
These types of courses are generally included in master's degree programs that are either concentrated on spatial data science or have courses dedicated to that subject area.
Introductory Data Science Courses
As the title suggests, these kinds of courses provide basic information on the area of data science. These courses will focus on how data is managed and kept secure. Students can also expect to look at data science from the point of view of different industries such as the social sciences, engineering, and computer science.
Courses on the Management of Data
Courses on data management are designed to teach students about the various ways data can be stored and managed. When doing these courses, students are likely to learn different types of data storage systems such as the cloud or networks. Students will also learn how to manage data through the use of various techniques.
Modeling courses focus on select areas such as the environment or predictive statistical analysis. Subject areas in these courses can be intensely mathematical in nature depending on the focus. At the end of these courses, students may be able to conduct environmental planning for urban design.
While there are a few incarnations that these courses can take, they are generally computer and systems-based. Students will cover topics related to the theories related to programming as well as programming languages. These courses will also include subjects such as how to test programming languages and the details of programming design.
Courses about Spatial Analysis
When it comes to spatial data science, the analysis of location-based data is an integral part. Courses like these give students the necessary skills to analyze the data that has been collected. When completing these courses, students may be taught to use different types of software that will aid in using data in areas such as boundary planning.
General Admission Requirements for Master's Degree Programs Related to Spatial Data Science
For admission into a master's program in an area related to spatial data science, a bachelor's degree in social science or a STEM-related field with a minimum of a 3.0 GPA is required. Prospective students may need to submit official transcripts, letters of recommendation, a personal statement and a resume. To apply for some master's programs, prospective students may need to submit passing scores on the GRE test while non-native English speakers may need to submit passing scores on an English proficiency exam.
Persons may have limited options for master's programs that are specific to spatial data science. However, master's programs in data science, spatial informatics, and spatial analytics will offer courses that focus on areas related to spatial data science.