{"id":37132,"date":"2021-10-01T13:30:01","date_gmt":"2021-10-01T17:30:01","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ams\/?page_id=37132"},"modified":"2026-05-29T15:55:27","modified_gmt":"2026-05-29T19:55:27","slug":"data-science-capstone-experience","status":"publish","type":"page","link":"https:\/\/engineering.jhu.edu\/ams\/academics\/graduate-studies\/masters-data-science\/data-science-capstone-experience\/","title":{"rendered":"Data Science Capstone Experience"},"content":{"rendered":"

Capstone Experience – 1 course\/final project<\/h3>\n

The Capstone Experience in Data Science (EN.553.806) is a research-oriented project for students enrolled in the full-time Data Science Master’s Program only<\/em> which must be approved by the research supervisor and the Internal Oversight Committee.\u00a0 The Capstone Experience can be taken in multiple semesters (3+3 or 6), but the total number of credits required for successful completion is six (6).\u00a0<\/strong><\/span> Students must complete a <\/span>Data Science Capstone Experience Proposal<\/a> form <\/span>and follow instructions below to submit for approval before enrollment in EN.553.806 will be approved by academic staff. Students should plan to present their poster and submit the report in the FINAL semester of course registration for EN.553.806<\/strong>.<\/p>\n

All students are REQUIRED<\/span> <\/strong>to present their research findings in poster format at the event held in their final semester. The poster presentation is your final project and not unlike a final exam, so please plan accordingly to be available for the poster presentation event A list of upcoming dates are provided below. Students must also submit a final report to their capstone supervisor. The grade for this course is based, in large part, upon the poster event and your final report. For more information on the poster and the report, please read below.<\/p>\n\n\n\n\n\n\n\n
Semester<\/strong><\/td>\nLast Day of Classes<\/strong><\/td>\nCapstone<\/strong><\/td>\nTime<\/strong><\/td>\nLocation<\/strong><\/td>\n<\/tr>\n
Spring 2026<\/td>\nM<\/strong> <\/span>4\/27<\/td>\nT 4\/21\/26<\/td>\n4:30-6:00PM<\/td>\nGlass Pavilion, Levering Hall<\/td>\n<\/tr>\n
Fall 2026<\/td>\nF <\/strong>12\/11<\/span><\/span><\/td>\nT 12\/8\/26<\/td>\n<\/td>\nGreat Hall, Levering Hall<\/td>\n<\/tr>\n
Spring 2027<\/td>\nM <\/strong>4\/30<\/span><\/span><\/td>\nM 4\/26\/27<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Fall 2027<\/td>\nF <\/strong>12\/10<\/span><\/span><\/td>\nT 12\/7\/27<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Capstone Experience – 1 course\/final project The Capstone Experience in Data Science (EN.553.806) is a research-oriented project for students enrolled in the full-time Data Science Master’s Program only which must…<\/p>\n","protected":false},"author":59,"featured_media":0,"parent":53845,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"class_list":["post-37132","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nData Science Capstone Experience | Department of Applied Mathematics and Statistics<\/title>\n<meta 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