Data Science, B.S. Pure Data Science Track

Students must complete the following Data Science Core (12 courses):

• SCDV - 110. Introduction to Exploratory Data Analysis and Visualization 3 credit(s)
• MATH - 220. Introduction to Data Mathematics 3 credit(s)

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• ATDV - 110. Statistics for Social Science 3 credit(s)   OR
• MATH - 275. Introductory Statistics with Computation 3 credit(s)   OR
• QBUS - 200. Business Statistics I 4 credit(s)

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• MATH - 110. Calculus I 4 credit(s)   OR
• QBUS - 110. Mathematics for Decision Making II 3 credit(s)

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• MATH - 120. Calculus II 4 credit(s)   OR
• QBUS - 120. Mathematics for Decision Making III 3 credit(s)

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• MATH - 230. Linear Algebra 3 credit(s)
• CSIS - 120. Software Development 4 credit(s)
• CSIS - 210. Data Structures 4 credit(s)
• CSIS - 320. Machine Learning 3 credit(s)
• CSIS - 350. Database Management Systems 3 credit(s)

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• PHIL - 210. Ethics 3 credit(s)  OR
• PHIL - 315. Ethics of Science and Technology 3 credit(s)

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• SCDV - 490. Data Science Team Project 3 credit(s)   OR
• SCDV - 499. Independent Study in Science 1-3 credit(s) *   OR
• SCDV - 480. Internship in Science 1-3 credit(s) *

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• * The Independent Study or Internship must be related to Data Science and approved by the FSC