Computer Science - Data Science (Bachelor of Science)

The data science concentration is available for CS/CIS majors. Data science and analytics contribute to a wide range of scholarly disciplines and commercial endeavors. The courses provide principles and techniques of Descriptive, Predictive, and Prescriptive Analytics.

Course Title Credits
Prescriptive Courses
CS 230Fundamentals of Computing3
CS 231Computer Programming I3
CS 232Computer Programming II3
CS 234Discrete Computational Structures3
CS 304Technical Writing for Computer Science (WI)3
CS 310Software Engineering I3
CS 331Data Structures and Algorithms3
CS 333Computer Organization and Architecture3
CS 350Fundamentals of Computer Operating Systems3
CS 450Computer Networking3
CS 462Ethics and Legal Issues (WI)3
CS 488Database Systems3
CS 491Software Engineering II3
Data Science
CS 306Introduction to Data Science3
CS 445Predictive Analysis3
CS 480Special Topics in Data Science3
CS 489Business Intelligence3
MS 444Applied Statistical Methods3
Courses in the major may not be taken until all prerequisites are completed with a grade of "C" or better.
In addition to the major courses, support courses required are:
MS 125Calculus I4
MS 126Calculus II4
MS 302Applied Probability and Statistics3
MS 352Linear Algebra3

In addition to courses noted below, candidates for graduation must successfully complete all JSU Academic Regulations. More information about general education requirements can be found in the Summary of Degrees/Requirements section of the catalog.

Plan of Study Grid
Freshman
FallHours
EH Composition sequence 3
Natural Science sequence 4
CS 201 Introduction to Information Technology 3
CS 230 Fundamentals of Computing 3
STU 101 First Year Experience 0
 Hours13
Spring
EH Composition sequence 3
EH 141 Oral Communication 3
Natural Science sequence 4
CS 231 Computer Programming I 3
CS 234 Discrete Computational Structures 3
 Hours16
Sophomore
Fall
Fine Arts 3
MS 125 Calculus I 4
History 3
CS 232 Computer Programming II 3
CS 304 Technical Writing for Computer Science (WI) 3
 Hours16
Spring
History, Social/Behavioral Science 1 3
MS 126 Calculus II 4
CS 310 Software Engineering I 3
CS 331 Data Structures and Algorithms 3
CS 333 Computer Organization and Architecture 3
 Hours16
Junior
Fall
Literature 3
Social/Behavioral Science 3
CS 306 Introduction to Data Science 3
CS 488 Database Systems 3
MS 302 Applied Probability and Statistics 3
 Hours15
Spring
Humanities/Fine Arts 1 3
CS 350 Fundamentals of Computer Operating Systems 3
CS 491 Software Engineering II 3
MS 352 Linear Algebra 3
MS 444 Applied Statistical Methods 3
 Hours15
Senior
Fall
Social/Behavioral Science 3
CS 445 Predictive Analysis 3
CS 450 Computer Networking 3
Electives 5
 Hours14
Spring
CS 462 Ethics and Legal Issues (WI) 3
CS 480 Special Topics in Data Science 3
CS 489 Business Intelligence 3
Electives 6
 Hours15
 Total Hours120