The Bachelor’s Degree in Data Science is a rigorous program that covers the foundational as well as the applied dimensions of Data Science by focusing on aspects of mathematics, statistics, algorithmics, informatics, and software engineering that are relevant to the manipulation, analysis, and actionable use of complex data assets. To gain a deep appreciation of the human and social contexts, the regulatory and institutional structures, and the ethical and professional practices that shape technical work around computing and data science, the program equips students with the knowledge and skills needed to carry out the full cycle of data-driven investigative inquiry in real-world settings.<\/p>\n
A data scientist works with data to solve real-world problems. Through data collection, data transformation, data visualization and analysis, and building predictive models, data scientists can recommend actions for a team to implement. Data scientists can be found in a variety of domains, including healthcare, government, academia, technology, entertainment, etc.<\/p>\n
Data scientists must not only have experience with programming, algorithmics and math, they must also have the patience to work on long projects, work through roadblocks, strong communication skills, be team players, and have a strong commitment to ethical and privacy considerations inherent in working with data.<\/p>\n
The Undergraduate Data Science degree requires completion of a minimum of 128 credits, with at least 64 credits counting towards the major, including 14 four-credit courses covering the foundational, methodological, and applied dimensions of the data science, as well as completion of a four-credit capstone. The final four credits may be satisfied through any course that meets CDS requirements.<\/p>\n
You can learn more about the Data Science BS program here<\/a>.<\/p>\n This degree requires completion of at least 128 credits, with 64 credits required for the major. This includes 14 four-credit courses covering the foundational, methodological, and applied dimensions of data science. Students enrolled in the BS degree program in Data Science will also pursue coursework in the BU Hub, the University’s general education program.<\/p>\n Mathematical & Computational Foundations:<\/strong><\/p>\n Data Science Core:<\/strong><\/p>\n Data Science Electives:<\/strong> at least four courses with at least one course in each of the three competencies listed under the Methodology or In-The-Field track. The fourth course can be from either track. It will be important for students pursuing the major to think critically about a chosen pathway, taking into account course prerequisites. If students do not meet stated course prerequisites, myBU will not allow registration.<\/strong><\/p>\n Methodology Track<\/a><\/p>\n In-the-Field Track<\/a><\/p>\n Capstone<\/strong>: at least four credits earned through completion of:<\/p>\n Final 4.00 Credits:<\/strong> can be completed by taking any CDS course, including CDS DS100.<\/p>\n Curious what courses we are offering this semester? Head to BU’s Bulletin<\/a>.<\/p>\n <\/p>\n Click here<\/strong><\/a> to view how the Hub and the DS major intertwine!<\/p>\n Check bu.edu\/hub<\/a> for more information.<\/p>\n Beginning Fall 2022, CDS will consider a small number of applications for dual degree. Dual degree is an intensive program, so make sure to schedule an appointment with a CDS advisor\u00a0<\/em>to initiate the process\u00a0<\/span>well in advance<\/strong>.<\/strong> More information on University policies regarding dual degree is available\u00a0<\/span>here<\/a>.<\/p>\n Considering an IUT to CDS?<\/strong>\u00a0<\/span>Head over to our\u00a0<\/span>Academic Policies & Processes\u00a0<\/span>page<\/a>\u00a0for more information!<\/em><\/p>\n The Bachelor’s Degree in Data Science is a rigorous program that covers the foundational as well as the applied dimensions of Data Science by focusing on aspects of mathematics, statistics, algorithmics, informatics, and software engineering that are relevant to the manipulation, analysis, and actionable use of complex data assets. To gain a deep appreciation of […]<\/p>\n","protected":false},"author":17518,"featured_media":0,"parent":1709,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/pages\/937"}],"collection":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/users\/17518"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/comments?post=937"}],"version-history":[{"count":51,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/pages\/937\/revisions"}],"predecessor-version":[{"id":18323,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/pages\/937\/revisions\/18323"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/pages\/1709"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/media?parent=937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Major Requirements<\/h3>\n
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BU Hub and the DS Major<\/h3>\n
Dual Degree<\/h3>\n
Apply Today<\/a><\/span><\/h3>\n","protected":false},"excerpt":{"rendered":"