{"id":234,"date":"2023-10-27T13:53:14","date_gmt":"2023-10-27T17:53:14","guid":{"rendered":"https:\/\/web.uri.edu\/data-science\/?page_id=234"},"modified":"2024-04-24T10:28:10","modified_gmt":"2024-04-24T14:28:10","slug":"bachelor-of-arts-bachelor-of-science","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/data-science\/bachelor-of-arts-bachelor-of-science\/","title":{"rendered":"Bachelor of Arts \/ Bachelor of Science"},"content":{"rendered":"\n

The Bachelor of Science Degree<\/h2>\n\n\n\n

The B.S. degree has two tracks of emphasis. The track in Computer Science and Statistics (CS-STA track<\/strong>) and the track in Applied Mathematical Sciences (MTH-AMS track<\/strong>). Students in the CS-STA track<\/strong> learn statistical and machine learning methods in data science, acquiring computational skills in relevant programming languages for a data science career. A required capstone experience\u2014an internship or research project with a faculty member\u2014provides the kind of hands-on experience employers value. In the MTH-AMS track<\/strong>, students learn the mathematical constructs that make advanced data analysis possible. Students apply advanced mathematical concepts to solving data-driven problems and investigate the mathematical underpinnings of algorithms used in machine learning and other data science strategies.<\/p>\n\n\n\n

Despite its rapid rise to prominence, data science remains a relatively young field with plenty of opportunities for people who can innovate by designing new algorithms or tweaking existing ones.<\/p>\n\n\n\n

The Bachelor of Arts Degree<\/h2>\n\n\n\n

The BA is designed for students wishing to double major and apply data science in a domain or subject area. The domain areas could be a department in Arts and Sciences or a major from another college. Students wishing to primarily apply data science in a domain area should take the BA. Examples include biology, business, communication studies, political science, psychology, and finance.<\/p>\n\n\n\n

Learning Outcomes<\/a><\/h3>\n\n\n\n \n\n\n\n

Curriculum Sheets<\/h2>\n\n\n\n

BA: Data Science<\/p>\n\n\n\n

2023<\/a><\/td>2022<\/a><\/td>2021<\/a><\/td>2020<\/a><\/td>2019<\/a><\/td>2018<\/a><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

BS: Data Science<\/p>\n\n\n\n

2021<\/a><\/td>2020<\/a><\/td>2019<\/a><\/td>2018<\/a><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

BS: Data Science \u2013 Applied Mathematical Sciences Track<\/p>\n\n\n\n

2023<\/a><\/td>2022<\/a><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

BS: Data Science \u2013 Computer Science and Statistics Track<\/p>\n\n\n\n

2023<\/a><\/td>2022<\/a><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Major Entry Requirements<\/h2>\n\n\n\n