Data Science, B.S. Applied Data Science Track

CIP Code: 30.3001

HEGIS Code: 1702

Requirements for the Major, B.S. in Data Science (37 - 42 credits):

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)
ATDV - 110. Statistics for Social Science 3 credit(s) OR
MATH - 275. Introductory Statistics with Computation 3 credit(s) OR
BAAS - 200. Business Statistics I 3 credit(s)
MATH - 110. Calculus I 4 credit(s) OR
QBUS - 110. Mathematics for Decision Making II 3 credit(s)
MATH - 120. Calculus II 4 credit(s) OR
BAAS - 140. Quantitative Business Analytics 3 credit(s)
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)
PHIL - 210. Ethics 3 credit(s) OR
PHIL - 315. Ethics of Science and Technology 3 credit(s)
SCDV - 490. Data Science Team Project 3 credit(s) OR
SCDV - 499. Independent Study in Science 0-3 credit(s) * OR
SCDV - 480. Internship in Science 1-3 credit(s) *
* The Independent Study or Internship must be related to Data Science, at least 3 credits, and approved by the FSC

Requirements for the Applied Data Science Track (18 credits):

Students must take at least 18 credits in an approved cognate area. A cognate area can be any minor, or a set of courses (minimum of 18 credits) approved by the FSC.