Computer Science Major (B.S.)

The Computer Science program teaches the fundamental computing skills to succeed in technology fields and become sought-after professionals and industry leaders.  Upon graduation, students of the program will have the abilities described by the program education objectives and student outcomes.

B.S. in Computer Science Program Education Objectives

Within a few years of graduation, computer science graduates should:

1. Become successful computing professionals who can interact with users, developers, and managers and contribute effectively to the workplace.
2. Engage in ongoing lifelong learning and pursue graduate study and research in the computing field.
3. Achieve independent pursuits in computing as innovators and entrepreneurs.

B.S. in Computer Science Student Outcomes

Graduates of the program will have an ability to: 

1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
3. Communicate effectively in a variety of professional contexts.
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
6. Apply computer science theory and software development fundamentals to produce computing-based solutions.

Link to College Core requirement.

In addition to meeting the standards and requirements of the College of Arts and Sciences, degree candidates must complete the requirements listed below. All programs are worked out in consultation with a department adviser who may modify the program in view of the students’ backgrounds and objectives. All programs must be approved by the department.

No more than three internship credits  (CSAS 3093--Computer Science Internship; CSAS 3094--Computer Science Internship II) may be used toward the major program in Computer Science.

Students who are enrolled in the Minor in Data Analytics are only allowed to use two courses from the Minor in Data Analytics as elective courses for the B.S. in Computer Science.

Course List

Code	Title	Hours
Freshman Year
CSAS 1114 & CSAS 1115	Intro to Program Design I and Intro to Program Design II	6
MATH 1501	Calculus I - Math - Phys Sci	4
or MATH 1401	Calculus I
MATH 1611	Intro to Discrete Mathematics	3
Sophomore Year
CSAS 2123 & CSAS 2124	Intro Object-Orient Design I and Intro Object-Orient Design II	6
CSAS 2125	Computer Systems-Assembly Prog	3
CSAS 2126	Data Structures and Algorithms	3
MATH 2111	Statistics for Science Majors	4
or MATH 2711	Intro Probability - Statistics
MATH 2813	Linear Algebra	3-4
or MATH 2814	Intro Linear Algebra Comp Math
Junior-Senior Year
CSAS 3111	Operating Systems and Computer Architecture	3
CSAS 3113	Organization of Programming Languages	3
CSAS 4113	Automata Computability and Formal Languages	3
Total Hours		41-42

Additionally, select a total of 15 credits, usually five electives from the list below:

Course List

Code	Title	Hours
Elective Courses
CSAS 3010	Data Mining	3
CSAS 3091
CSAS 3092	Independent Study	2
CSAS 3093	Computer Science Internship	3
CSAS 3094	Computer Science Co-Op I	3
CSAS 3211	Networks and Networking	3
CSAS 3411	Graph Algorithms	3
CSAS 4081
CSAS 4082
CSAS 4083
CSAS 4084
CSAS 4085
CSAS 4086	Spec Topics-Comp Science	3
CSAS 4091	Ind Study-Computer Science	1
CSAS 4092
CSAS 4093	Independent Study-Comp Science	2
CSAS 4094	Independent Study-Comp Science	2
CSAS 4095	Independent Study	3
CSAS 4096	Independent Study-Comp Science	3
CSAS 4091	Ind Study-Computer Science	1
CSAS 4093	Independent Study-Comp Science	2
CSAS 4094	Independent Study-Comp Science	2
CSAS 4095	Independent Study	3
CSAS 4096	Independent Study-Comp Science	3
CSAS 4111	Introduction to Artificial Intelligence	3
CSAS 4115	Theory of Relational Databases	3
CSAS 4117	Software Engineering	3
CSAS 4201	Approaches to Big Data	3
CSAS 4911	Big Data Analytics	3
DASC 3000	Data Visualization	3
DASC 3010	Data Mining	3
DASC 3111	Text Mining	3

and one of PSYC 3214 Cognitive Psychology and PSYC 3114 Cognition and Data Visualizati.

Total hours: 57-58 credits

Departmental Honors in Computer Science

Students who wish to graduate with departmental honors in computer science:

• must have a 3.3 GPA in major courses numbered 3000 or above, including MATH courses used to satisfy major requirements,
• a 3.0 over all average GPA, and must have taken at least 60 credits at Seton Hall;
• and must complete the Honors Project sequence (CSAS 4201--Honors Research I  and CSAS 4202--Honors Research II), including written and oral presentation of project results.