Program: Data Science, B.S. Pure Data Science Track - Siena College - Modern Campus Catalog™

Apr 07, 2025

2018-2019 Undergraduate Catalog, Volume 77

CIP Code: 30.3001

HEGIS Code: 1702

Requirements for the Major, B.S. in Data Science (47 - 54 credits):

Students must complete the following Data Science Core (11 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
QBUS - 200. Business Statistics I 4 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
QBUS - 120. Mathematics for Decision Making III 3 credit(s)
MATH - 230. Linear Algebra 3 credit(s)
CSIS - 120. Software Development 4 credit(s)
CSIS - 210. Data Structures 3 credit(s)
CSIS - 320. Machine Learning 3 credit(s)
CSIS - 350. Database Management Systems 3 credit(s)
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) *
* The Independent Study or Internship must be related to Data Science and approved by the FSC

Requirements for the Pure Data Science Track (14-17 credits):

MATH - 250. Discrete Structures 4 credit(s)
CSIS - 355. Advanced Database 3 credit(s) OR
3 credits of independent study or special topics courses approved by the FSC.
CSIS - 385. Design and Analysis of Algorithms 3 credit(s)

Two-course sequence in laboratory-based science: (4-8 credits)

PHYS - 130. General Physics I 4 credit(s)
PHYS - 140. General Physics II 4 credit(s) OR
CHEM - 110. General Chemistry I 4 credit(s)
CHEM - 120. General Chemistry II 4 credit(s) OR
BIOL - 110. General Biology I 4 credit(s)
BIOL - 120. General Biology II 4 credit(s) OR
ENVA - 205. Environmental Field Techniques 2 credit(s)
ENVA - 210. Environmental Research Methods 2 credit(s)