Master of Applied Science Spatial Analysis for Public HealthJohns Hopkins University, Bloomberg School of Public Health
About this program
Master of Applied Science Spatial Analysis for Public Health
The Master of Applied Science in Spatial Analysis for Public Health is a fully online degree program offered by the Johns Hopkins Bloomberg School of Public Health. The curriculum prepares students to effectively collect, map and interpret geographic information to test and refine hypotheses to answer a set of questions within the public health sector.
Prior quantitative coursework or alternative evidence of quantitative ability
Standardized Test Scores
Standardized test scores are not required and not reviewed for this program. If you have taken a standardized test such as the GRE, GMAT, or MCAT and want to submit your scores, please note that they will not be used as a metric during the application review. Applications will be reviewed holistically based on all required application components.
English Language Proficiency Test
Most international applicants must submit scores of an English language proficiency test. Unless an applicant meets one of the exemption criteria listed below, official English language proficiency test scores less than 2 years old will be required as part of the application. To fulfill this requirement, the Bloomberg School will accept scores from the following tests. Please contact Admissions Services if you have questions about acceptable test scores. We do not accept the TOEFL Essentials or TOEFL IPT.
For more information about admission requirements, please visit the school website.
Does this course require proof of English proficiency?
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- Introduction to Online Learning
- Academic and Research Ethics
- Spatial Analysis for Public Health
- The Role of Qualitative Methods and Science in Describing and Assessing a Population's Health
- Spatial Data Technologies for Mapping
- Seminars in Public Health: Advanced Topics
- Introduction to Epidemiology
- Professional Development Workshop
- Public Health Statistics 1
- Spatial Analysis Lab 1
- Public Health Statistics 2
- Professional Development Workshop
- Intermediate Epidemiology
- Spatial Analysis Lab 2
- Applied Spatial Statistics
- Spatial Analysis Journal Club
Scholarships & funding
Several scholarship options are available. Please check the school website for more information
- Ensure all tools and applications are properly installed
- Troubleshoot any component that may not work properly
- Experience the online tools for peer-to-peer and instructor communication
- Become familiar with the coursework structure and learning management system
The course takes between 1-4 hours to complete, depending on your skills working online. With the notable exception of one LiveTalk, you can do the class work on your own schedule.
Tuition fee: $59,184 / year
By the end of the program, students should be able to:
- Interpret and critique epidemiologic studies addressing public health problems
- Apply measures of morbidity and mortality to the evaluation and comparison of the health of populations
- Synthesize how geography affects public health
- Obtain and transfer information from spatial data technologies into a database appropriate for mapping
- Utilize a geographic information system to map and spatially integrate public health related databases
- Analyze and interpret maps using tools from the field of spatial statistics to describe and interpret distributions of health outcomes in a population
- Design and implement a spatial analysis protocol for addressing a public health problem
- Environmental health officer
- GIS software developer
- Geospatial analyst
- Cartography/visualization specialist
- Geographic information scientist
- Geospatial database administrator
- Spatial statistician
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About this institute
Johns Hopkins University, Bloomberg School of Public Health
The Johns Hopkins Bloomberg School of Public Health (BSPH), the number one ranked school of public health in the world, is dedicated to the improvement of health for all people and the education of a diverse global community of research...
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