{"id":43,"date":"2019-08-23T13:24:54","date_gmt":"2019-08-23T17:24:54","guid":{"rendered":"https:\/\/www.bu.edu\/earth\/ma-remote-sensing-geospatial-sciences\/"},"modified":"2025-11-18T09:58:11","modified_gmt":"2025-11-18T14:58:11","slug":"ms-remote-sensing-geospatial-sciences","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/earth\/graduate\/ms-remote-sensing-geospatial-sciences\/","title":{"rendered":"MS, Remote Sensing &#038; Geospatial Sciences"},"content":{"rendered":"<h2>Study with renowned faculty in a world-class program.<\/h2>\n<p>With a <a href=\"\/earth\/files\/2019\/09\/bu001_GRS-RemoteSensing.pdf\">Professional MS in Remote Sensing &amp; Geospatial Sciences<\/a>, your career options are endless. Private, public, and nonprofit sectors demand professionals with advanced technical skills who can organize and analyze spatial data sets. From governmental planning, defense and transportation departments; to environmental, resource management, and public safety agencies; to consulting firms, research labs, and academia, your skills are in demand.<\/p>\n<p>In Boston University\u2019s internationally recognized master\u2019s program, the world\u2019s most respected and influential remote sensing and geospatial faculty will educate you in both the underlying theory and the application of remote sensing, spatial analytical methods, digital cartography, and geographic information systems.<em><\/em><a href=\"https:\/\/mymedia.bu.edu\/media\/t\/1_2gkikdph\" target=\"_blank\" rel=\"noopener noreferrer\"><\/a><\/p>\n<p>&nbsp;<\/p>\n<h2>Explore the MS Remote Sensing &amp; Geospatial Sciences<\/h2>\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Degree Learning Outcomes<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n<h3><em>When you receive the MS in Remote Sensing &amp; Geospatial Sciences, you will be able to:<\/em><\/h3>\n<ul><\/ul>\n<ul>\n<li>Demonstrate advanced knowledge of theory of remote sensing and GIS including sensor systems, basic radiative transfer, cartographic projections and display, and spatial databases, and of fundamental concepts in geospatial analysis and modeling techniques.<\/li>\n<li>Quantitatively analyze data to evaluate scientific hypotheses and arguments in remote sensing and geographic information science.<\/li>\n<li>Communicate effectively, both verbally and in writing, advanced concepts in remote sensing and geographic information systems.<\/li>\n<li>Demonstrate understanding of the broader impacts and applications of remote sensing and GIS for natural sciences, social sciences, and for society at large.<\/li>\n<li>Apply a range of geospatial analysis techniques using remote sensing and GIS tools toward solving quantitative problems in one or more core disciplinary areas such as geography, ecology, environmental sciences, biogeosciences, urban planning or natural resources management.<\/li>\n<\/ul>\n<p><\/div>\n<\/div>\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Degree Requirements<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n<p><strong><a href=\"https:\/\/www.bu.edu\/academics\/grs\/programs\/earth-environment\/ma-remote-sensing\/\">Official Bulletin<\/a><\/strong><\/p>\n<h3><em>Complete the following for the MS in Remote Sensing:<\/em><\/h3>\n<p>The degree consists of 32 credits (eight courses) 3 core courses and 5 elective courses that are chosen in consultation with the student\u2019s advisor.<\/p>\n<h4>Core Courses (3 courses)<\/h4>\n<ul>\n<li>EE 501 Advanced Topics in Remote Sensing<\/li>\n<li>EE 505 Geographic Information Systems (GIS)<\/li>\n<li>EE 509 Applied Environmental Statistics<span>\u00a0<\/span><strong>or<\/strong><span>\u00a0<\/span>EE 516 Multivariate Analysis for Geographers<span>\u00a0<\/span><strong>or<\/strong><span>\u00a0<\/span>MA 614 Statistical Methods*<\/li>\n<\/ul>\n<h4>Electives (5 courses)<\/h4>\n<ul>\n<li>EE 503 Micrometeorology: Energy &amp; Mass Transfer at the Earth\u2019s Surface<\/li>\n<li>EE 504 Physical Climatology<\/li>\n<li>EE 509 Applied Environmental Statistics<\/li>\n<li>EE 516 Multivariate Analysis for Geographers<\/li>\n<li>EE 529 Modeling &amp; Monitoring Terrestrial Ecosystem Processes<\/li>\n<li>EE 585 Ecological Forecasting &amp; Informatics<\/li>\n<li>EE 622 Aquatic Optics &amp; Remote Sensing<\/li>\n<li>EE 644 Digital Image Processing in Remote Sensing<\/li>\n<li>EE 645 Physical Models of Remote Sensing<\/li>\n<li>EE 646 Remote Sensing of the Lower Atmosphere<\/li>\n<li>EE 648 Remote Sensing of Vegetation<\/li>\n<li>EE 805 Spatial Data Analysis Using GIS<\/li>\n<li>EE 840 Advanced Topics in Remote Sensing<\/li>\n<li>GE 845 Advanced Topics in Geographic Information Systems<\/li>\n<li>CS 521 Information Structures with Python<\/li>\n<\/ul>\n<p><em>Substitutions are permitted.<\/em><\/p>\n<p><em>*Courses taken to fulfill statistical methods requirements cannot be double counted as electives.<\/em><\/p>\n<p><\/div>\n<\/div>\n\n<p>&nbsp;<\/p>\n<hr \/>\n","protected":false},"excerpt":{"rendered":"<p>Study with renowned faculty in a world-class program. With a Professional MS in Remote Sensing &amp; Geospatial Sciences, your career options are endless. Private, public, and nonprofit sectors demand professionals with advanced technical skills who can organize and analyze spatial data sets. From governmental planning, defense and transportation departments; to environmental, resource management, and public [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":20770,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"page-templates\/landing.php","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/pages\/43"}],"collection":[{"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/comments?post=43"}],"version-history":[{"count":50,"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/pages\/43\/revisions"}],"predecessor-version":[{"id":20818,"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/pages\/43\/revisions\/20818"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/pages\/20770"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/earth\/wp-json\/wp\/v2\/media?parent=43"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}