{"id":886,"date":"2026-06-15T14:07:51","date_gmt":"2026-06-15T18:07:51","guid":{"rendered":"https:\/\/carleton.ca\/datascience\/?page_id=886"},"modified":"2026-06-15T14:10:35","modified_gmt":"2026-06-15T18:10:35","slug":"dsaai-masters-accelerated-pathway","status":"publish","type":"page","link":"https:\/\/carleton.ca\/datascience\/future-students\/graduate-studies\/dsaai-masters-accelerated-pathway\/","title":{"rendered":"DSAAI Master&#8217;s Accelerated Pathway"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        DSAAI Master&#8217;s Accelerated Pathway\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n\n\n<p>Are you a Bachelor of Data Science (B.D.S.) Honours student at Carleton University considering graduate studies in&nbsp;<a href=\"https:\/\/calendar.carleton.ca\/grad\/gradprograms\/dsa\/\">Data Science, Analytics and Artificial Intelligence<\/a>?<\/p>\n\n\n\n<p>The&nbsp;<a href=\"https:\/\/calendar.carleton.ca\/grad\/gradprograms\/dsa\/#admissiontext\">DSAAI Master\u2019s Accelerated Pathway<\/a>&nbsp;provides eligible students a chance to fast-track their graduate studies, enabling students to reach their academic and career goals sooner!<\/p>\n\n\n\n<p><strong>How it Works<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>At the end of the third year of studies, students express interest in the DSAAI Accelerated Pathway by emailing a B.D.S. undergraduate advisor at\u00a0<a href=\"mailto:ds.ug.advisor@carleton.ca\">ds.ug.advisor@carleton.ca<\/a>\u00a0to request an audit review. The undergraduate advisor will confirm if the student has room on their audit to participate in the DSAAI Accelerated Pathway, and submit a request to the Graduate Director for the student to participate in the program.<\/li>\n\n\n\n<li>The DSAAI Graduate Director will review the student\u2019s audit and notify the student if they\u2019ve been admitted to the DSAAI Accelerated Pathway.<\/li>\n\n\n\n<li>Accepted students are encouraged to take DATA 5000 and\/or DATA 5001 (as they are required courses in DSAAI), but may take up to 1.0 credit in graduate-level COMP, MATH or STAT courses listed on the DSAAI Approved Electives list. Students should consult with their undergraduate advisor regarding which program elements the courses may be used towards.<\/li>\n\n\n\n<li>If the student wishes to pursue a Master\u2019s in DSAAI at Carleton, they must apply by the application deadline (subject to change from year to year, historically in early-mid January). If admitted to a Master\u2019s program in DSAAI, the courses (up to 1.0 credit) taken as part of the Accelerated Pathway will be counted towards the DSAAI program requirements through \u2018Advanced Standing,\u2019 provided the grades achieved are B+ or higher. Advanced Standing will reduce the required courses needed in the DSAAI program, typically resulting in students completing their graduate program at a faster pace.<\/li>\n<\/ol>\n\n\n\n<p><strong>Requirements for Eligibility to the Accelerated Pathway&nbsp;<\/strong><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Third year standing in the Bachelor of Data Science program with completion of required courses at the 3000-level and below.<\/li>\n\n\n\n<li>A Major GPA of at least 10.0.<\/li>\n<\/ol>\n\n\n\n<p><strong>DSAAI Admission Requirements<\/strong><\/p>\n\n\n\n<p>Admission to, and participation in, the DSAAI Accelerated Pathway program does not guarantee a student admission to a graduate program in DSAAI. Any student interested in applying to a Master\u2019s in DSAAI must meet all&nbsp;<a href=\"https:\/\/calendar.carleton.ca\/grad\/gradprograms\/dsa\/#admissiontext\">Admission Requirements<\/a>&nbsp;as defined by the Graduate Calendar, and are encouraged to contact a Graduate Administrator&nbsp;<a href=\"mailto:dsaai@carleton.ca\">(dsaai@carleton.ca<\/a>) with any admission or application related questions as required.<\/p>\n\n\n\n<p>Note: Approved Accelerated Pathway students are not eligible to take graduate courses on a letter of exchange or letter of permission at other institutions. All eligible graduate courses must be taken at Carleton University.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Are you a Bachelor of Data Science (B.D.S.) Honours student at Carleton University considering graduate studies in&nbsp;Data Science, Analytics and Artificial Intelligence? The&nbsp;DSAAI Master\u2019s Accelerated Pathway&nbsp;provides eligible students a chance to fast-track their graduate studies, enabling students to reach their academic and career goals sooner! How it Works Requirements for Eligibility to the Accelerated Pathway&nbsp; [&hellip;]<\/p>\n","protected":false},"author":47,"featured_media":0,"parent":620,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_cu_dining_location_slug":"","footnotes":"","_links_to":"","_links_to_target":""},"cu_page_type":[],"class_list":["post-886","page","type-page","status-publish","hentry"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/pages\/886","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/users\/47"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/comments?post=886"}],"version-history":[{"count":1,"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/pages\/886\/revisions"}],"predecessor-version":[{"id":887,"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/pages\/886\/revisions\/887"}],"up":[{"embeddable":true,"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/pages\/620"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/media?parent=886"}],"wp:term":[{"taxonomy":"cu_page_type","embeddable":true,"href":"https:\/\/carleton.ca\/datascience\/wp-json\/wp\/v2\/cu_page_type?post=886"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}