Data Science, B.S.

The program course outline and graduation requirements for this catalog year are listed below. To graduate, a minimum cumulative GPA of 2.0 must be achieved, and a total of 120 credits is required. This total includes both the required courses for the program and any free electives selected. 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)

Up to three courses in the major/cognate may also satisfy LEP requirements and will be indicated below; no more than two courses in the same subject may be used towards LEP Explorations.

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
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 one:
CSC 481 – Artificial Intelligence
MAT 428 – Mathematical Foundations in Machine Learning

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

ACCELERATED PATHWAY OPTION (12 Credits)

Students with an overall 3.0 GPA may be approved to complete an accelerated pathway. Graduate courses may be completed during their senior year when a student has earned at least 90 credits. Courses successfully completed with a grade of 'C' or higher will earn dual credit to be applied to both the undergraduate and graduate transcript. Approval to start graduate coursework does not guarantee admission to the graduate program.

Accelerated Pathway to Graduate Program
In consultation with their advisor, students may select up to 12 credits of graduate level coursework (500-level or higher) appropriate to their intended graduate program of study.