Acceptance to Major Requirements

Course Requirements:

Course List

Code	Title	Hours
CSCI 150	Introduction to Computing in the Liberal Arts and Sciences	4
CSCI 160	Problem Solving, Programming, and Computers	4
MATH 119	Calculus I	4
MATH 120	Calculus II	4

Minimum Grade and/or GPA for required courses: No more than one of the above courses has a grade below C, and the GPA in the above courses is 2.5 or better

Other Requirements: Students will be conditionally accepted into the major if they have not yet completed all the courses needed for unconditional acceptance into the major but are currently enrolled in the courses which are lacking, and they meet the other criteria for acceptance on the courses completed thus far.

Course List

Code	Title	Hours
CSCI 150	Introduction to Computing in the Liberal Arts and Sciences	4
CSCI 160	Problem Solving, Programming, and Computers	4
CSCI 200	Abstraction, Data Structures, and Large Software Systems	4
CSCI 332	Machine Learning	4
MATH 119	Calculus I	4
MATH 120	Calculus II	4
MATH 318	Applied Statistical Models	4
or MATH 345	Mathematical Statistics I
CSCI 239	Discrete Computational Structures	4
or MATH 239	Linear Algebra
DATA 162	Data Analysis and Visualization	2
DATA 272	Intermediate Data Analysis and Visualization	2
DSCI 372	(Capstone)	4
3 Courses from the following 1		12
CSCI 317D	Bioinformatics
CSCI 317H	Artificial Intelligence
CSCI 331	Database Systems
CSCI 338	Algorithms and Concurrency
CSCI 351	Principles of Parallel Computing
CSCI 377A	Ethical Issues in Computing
MATH 315	Operations Research
MATH 318	Applied Statistical Models
MATH 322	Graph Theory
MATH 338	Numerical Methods
MATH 339	Mathematical Modeling
MATH 345	Mathematical Statistics I
or MATH 346	Mathematical Statistics II
Total Hours		52

¹

Students may not take all CSCI courses or all Math courses; may not overlap with required courses. One domain course outside CSCI/MATH could replace an elective if taken in a sequence; requires chair approval.

Other: Student may not minor in data analytics. Students may not double major in Data Science and either Mathematics or Computer Science.

Additional Requirements: 

General Education Requirements: 

All undergraduate students must complete the requirements of the Integrations Curriculum (IC) which is designed to ensure all of our students receive a liberal arts education. Please review details of the Integrations Curriculum requirements here. 

Graduation Requirements:

In addition to the Integrations Curriculum, all undergraduate students must meet the following minimum degree requirements to earn their degree from CSB and SJU. 

      Credits:  124 total credits, 40 of which must be from upper division coursework
           GPA:   2.0 or higher* 
Residency:   At least 24 of your last 32 credits must be completed at CSB/SJU

Please visit Graduation under the Academic Policies and Regulations portion of the catalog for additional details regarding degree requirements.

* Cumulative GPA as well as major(s)/minor(s) GPA. Please note some majors/minors may require a higher GPA to earn their degree.