Data Science, B.S.

The graduation requirements are listed below. In addition, students select free electives to reach 120 credits overall required for the degree.  The department website provides an overview of the program, admission requirements for the major (when applicable), faculty biographies, learning outcomes, and careers: https://www.southernct.edu/academics/mathematics/programs.  

GENERAL EDUCATION REQUIREMENTS (46 Credits)

All bachelor’s degree programs include liberal education (LEP) and writing (W) course requirements. To review more detailed information, please visit General Education (LEP) Degree Requirements.   

MAJOR REQUIREMENTS (69 Credits)

(*) When up to three courses in the major/cognate may also satisfy LEP requirements, they are recommended below; only two courses within Explorations (T2) may be fulfilled by courses in the same subject.  

DSC 100 – Data Science I
DSC 101 – Data Science II

DSC 205 – Data Visualization (T2CD)*
DSC 333 – Cloud Services for Data Science
DSC 490 – Data Science Capstone Project
CSC 212 – CS 2: Data Structures
CSC 229 – Object - Oriented Programming
CSC 321 – Algorithm Design and Analysis
CSC 324 – Computer Ethics
CSC 477 – Data Mining
CSC 481 – Artificial Intelligence
     or MAT 428 – Mathematical Foundations in Machine Learning
MAT 122 – Precalculus (T1QR)*
MAT 150 – Calculus I (T1QR)*
MAT 178 – Elementary Discrete Mathematics
MAT 221 – Intermediate Applied Statistics
MAT 326 – Regression Analysis
MAT 329 – Bayesian Analysis and Decision Making
MAT 372 – Linear Algebra

Select 4 from the following (Must include at least one from CSC and one from MAT):
CSC 335 – Database Systems
CSC 451 – Fundamentals of Deep Learning
CSC 463 – Distributed and Parallel Computing

DSC 398 – Special Topics
DSC 480 – Applications of Machine Learning in Bioinformatics
MAT 328 – Time Series Analysis
MAT 429 – Modern Nonparametric Statistics