Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________

Catalog: 2026-2027 Rowan University Academic Catalog Program: Bachelor of Science in Computer Science Minimum Credits Required:__________________

Bachelor of Science in Computer Science

This program focuses on developing flexible professionals who are equipped to learn new technologies and principles that are essential for success in such a rapidly evolving field.

Students will learn how to apply advanced scientific and industrial methodologies, knowledge of mathematics, algorithmic principles, and computer science theory to develop computing solutions and demonstrate these skills through presentations, written work, and projects.

The Bachelor of Science in Computer Science contains several optional concentrations and a wide range of advanced electives. This degree prepares graduates for jobs in business and industry, as well as further study at the graduate level. The Computer Science major requires courses in mathematics and applied and theoretical computer science. Students, in consultation with faculty advisors, can construct flexible and comprehensive programs. The program prepares students for graduate study in computer science or such related fields as business, operations research, and information sciences. Graduates also find careers in business, industry, government, and education, where they work as applications programmers, scientific programmers, systems programmers, systems analysts, and software engineers.

It is recommended that the students who are entering the program have several years of high school mathematics and programming courses. Advanced placement credit is accepted for incoming freshmen students. A grade of C- or better in the following courses is required for graduation: Calculus I, Discrete Structures, Introduction to Object-Oriented Programming, Object-Oriented Programming and Data Abstraction, Computer Organization, and Data Structures and Algorithms, whether they are taken locally or are transferred.

Rowan Core: 9 s.h.

All first-time Freshmen must complete the Rowan University Core Literacies. There are six literacies:

Communicative Literacy (COML) - 9 s.h. Satisfied by taking the following three courses:
- COMP 01111 College Composition I
- COMP 01112 College Composition II
- CMS 04205 Public Speaking or CMS 04206 Digital Presentations
Artistic Literacy (ARTL)
Global Literacy (GLBL)
Humanistic Literacy (HUML)
Quantitative Literacy (QNTL)
Scientific Literacy (SCIL)

Majors may suggest courses to fulfill the above literacies, which will be applied elsewhere.

A complete listing of courses that fulfill the above literacies can be found here Undergraduate Program Requirements.

Rowan Experience

Students must satisfy all three Rowan Experience attributes. Credits attached to the courses in this section will apply elsewhere.

The attributes are as follows:

Broad-Based Literature Attribute (LIT)
Writing Intensive Attribute (WI)
Rowan Seminar Attribute* (RS)

Departments may recommend courses to fulfill these attributes. A complete listing of courses that satisfy these attributes can be found at Undergraduate Program Requirements.

*The Rowan Seminar requirement is waived for all students transferring 24 or more approved credits into Rowan University at the time of initial entry.

Non-Program Courses: 18 s.h.

Courses in this section cannot be in the major department.

Course Name

Credits:

Term Taken

Grade

Gen Ed

INTR 01265 - Computers and Society

Credits: 3

CS 00100 - Computer Science Learning Community-RS

Credits: 1

MATH 01130 - Calculus I

Credits: 4

BIOL 01104 - Introduction to Evolution and Scientific Inquiry

Credits: 4

CHEM 06100 - Chemistry I

Credits: 4

PHYS 00220 - Introductory Mechanics

Credits: 4

WA 01302 - Introduction to Technical Writing - WI

Credits: 3

Authorized Lab Science Courses for Computer Science Majors Credits: 4

Required Courses: 52-53 s.h.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 04113 - Introduction to Object Oriented Programming

Credits: 4

CS 04111 - Intensive Introduction to Object Oriented Programming

Credits: 5

CS 04114 - Object Oriented Programming and Data Abstraction

Credits: 3

CS 04215 - Computer Laboratory Techniques

Credits: 3

CS 04222 - Data Structures and Algorithms

Credits: 4

CS 06205 - Computer Organization

Credits: 3

CS 06210 - Advanced Computing Technologies

Credits: 3

CS 07210 - Foundations of Computer Science

Credits: 3

MATH 01131 - Calculus II

Credits: 4

MATH 01210 - Linear Algebra

Credits: 3

MATH 03150 - Discrete Mathematics

Credits: 3

STAT 02290 - Probability and Statistical Inference for Computing Systems

Credits: 3

CS 04315 - Programming Languages

Credits: 3

CS 04321 - Software Engineering

Credits: 4

CS 04400 - Computer Science - Senior Project

Credits: 3

CS 06395 - Operating Systems

Credits: 3

CS 07340 - Design and Analysis of Algorithms

Credits: 3

Computer Science Restricted Electives: 12 s.h.

Choose 12 s.h. from the following courses.

Course Name

Credits:

Term Taken

Grade

Gen Ed

CS 01303 - Bioinformatics - Computational Aspects

Credits: 3

CS 01395 - Topics in Computer Science (Only the 3 s.h. version of these courses can count as a Restricted Elective)

Credits: 1 to 4

CS 01400 - Independent Study (Only the 3 s.h. version of these courses can count as a Restricted Elective)

Credits: 1 to 4

CS 02370 - Introduction to Information Visualization

Credits: 3

CS 02421 - Big Data Tools and Techniques

Credits: 3

CS 02440 - Data Warehousing

Credits: 3

CS 02480 - Introduction to Data Mining

Credits: 3

CS 02485 - Web and Text Mining

Credits: 3

CS 03351 - Cyber Security: Fundamentals, Principles and Applications

Credits: 3

CS 03353 - Security of Mobile Devices

Credits: 3

CS 03440 - Cloud Computing and the Internet of Things

Credits: 3

CYBR 01470 - Cyber Operations

Credits: 3

CS 04305 - Web Programming

Credits: 3

CS 04323 - Modern Software Development

Credits:

CS 04350 - Blockchain Programming

Credits: 3

CS 04372 - Advanced Android Programming

Credits: 3

CS 04376 - Advanced iOS Application Programming

Credits: 3

CS 04380 - Object Oriented Design

Credits: 3

CS 04391 - Parallel and Concurrent Programming

Credits: 3

CS 04394 - Distributed Systems

Credits: 3

CS 04401 - Compiler Design

Credits: 3

CS 04444 - Human-Computer Interaction

Credits: 3

CS 04471 - Topics in Mobile Programming

Credits: 3

CS 06310 - Principles of Digital Computers

Credits: 3

CS 06390 - Introduction to Systems Simulation and Modeling

Credits: 3

CS 06420 - Embedded Systems Programming

Credits: 3

CS 06447 - Introduction to IoT Upper Stack

Credits: 3

CS 07310 - Robotics

Credits: 3

CS 07350 - Computer Cryptography

Credits: 3

CS 07422 - Theory of Computing

Credits: 3

CS 02435 - Database Systems: Theory and Programming

Credits: 3

CS 07450 - Artificial Intelligence (AI)

Credits: 3

CS 07455 - Machine Learning

Credits: 3

CS 07459 - Models of Deep Learning

Credits: 3

CS 07460 - Computer Vision

Credits: 3

CS 08360 - Introduction to Computer Graphics

Credits: 3

CS 08380 - Introduction to Computer Animation

Credits: 3

CS 08390 - Introduction to Computer Game Design and Development

Credits: 3

CS 09410 - Data Communications and Networking

Credits: 3

CS 09415 - Wireless Networks, Protocols and Applications

Credits: 3

CS 09416 - Tcp/Ip and Internet Protocols and Technologies

Credits: 3

CYBR 03427 - Principles of Network Security

Credits: 3

CS 99300 - Computer Field Experience (Only the 3 s.h. version of these courses can count as a Restricted Elective)

Credits: 3 to 12

CS 99310 - Advanced Learning Assistant Seminar in Computer Science

Credits: 3

CS 99490 - Computer Science Research II

Credits: 3

DS 02395 - Topics in Data Science (Only the 3 s.h. version of these courses can count as a Restricted Elective)

Credits: 1 to 3

Free Electives: 28-29 s.h.

Total Required Credits for the Program: 120 s.h.

Concentrations: In order to give Computer Science majors the opportunity to concentrate, optional concentrations have been added to the Computer Science major at Rowan University. A concentration is composed of four or more specified courses (12 s.h. or more) in Computer Science and other related disciplines that provide a solid foundation in some fundamental area of computer science.

The areas of concentration are:

Undergraduate Concentration in Artificial Intelligence
Undergraduate Concentration in Cybersecurity Defense (BS)
Undergraduate Concentration in Data Science
Undergraduate Concentration in Graphics, Visualization & Gaming Technology
Undergraduate Concentration in Networking Systems
Undergraduate Concentration in Software Engineering

Note: For comprehensive information on the individual computer science concentrations, students should request from the Department of Computer Science the appropriate curriculum guide which details each concentration and see their Computer Science advisor.

856.256.4805
computerscience@rowan.edu

Notes:

Course Name	Credits:	Term Taken	Grade	Gen Ed
Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________	Catalog: 2026-2027 Rowan University Academic Catalog Program: Bachelor of Science in Computer Science Minimum Credits Required:__________________
Bachelor of Science in Computer Science This program focuses on developing flexible professionals who are equipped to learn new technologies and principles that are essential for success in such a rapidly evolving field. Students will learn how to apply advanced scientific and industrial methodologies, knowledge of mathematics, algorithmic principles, and computer science theory to develop computing solutions and demonstrate these skills through presentations, written work, and projects. The Bachelor of Science in Computer Science contains several optional concentrations and a wide range of advanced electives. This degree prepares graduates for jobs in business and industry, as well as further study at the graduate level. The Computer Science major requires courses in mathematics and applied and theoretical computer science. Students, in consultation with faculty advisors, can construct flexible and comprehensive programs. The program prepares students for graduate study in computer science or such related fields as business, operations research, and information sciences. Graduates also find careers in business, industry, government, and education, where they work as applications programmers, scientific programmers, systems programmers, systems analysts, and software engineers. It is recommended that the students who are entering the program have several years of high school mathematics and programming courses. Advanced placement credit is accepted for incoming freshmen students. A grade of C- or better in the following courses is required for graduation: Calculus I, Discrete Structures, Introduction to Object-Oriented Programming, Object-Oriented Programming and Data Abstraction, Computer Organization, and Data Structures and Algorithms, whether they are taken locally or are transferred.
Rowan Core: 9 s.h. All first-time Freshmen must complete the Rowan University Core Literacies. There are six literacies: Communicative Literacy (COML) - 9 s.h. Satisfied by taking the following three courses: COMP 01111 College Composition I COMP 01112 College Composition II CMS 04205 Public Speaking or CMS 04206 Digital Presentations Artistic Literacy (ARTL) Global Literacy (GLBL) Humanistic Literacy (HUML) Quantitative Literacy (QNTL) Scientific Literacy (SCIL) Majors may suggest courses to fulfill the above literacies, which will be applied elsewhere. A complete listing of courses that fulfill the above literacies can be found here Undergraduate Program Requirements.
Rowan Experience Students must satisfy all three Rowan Experience attributes. Credits attached to the courses in this section will apply elsewhere. The attributes are as follows: Broad-Based Literature Attribute (LIT) Writing Intensive Attribute (WI) Rowan Seminar Attribute* (RS) Departments may recommend courses to fulfill these attributes. A complete listing of courses that satisfy these attributes can be found at Undergraduate Program Requirements. *The Rowan Seminar requirement is waived for all students transferring 24 or more approved credits into Rowan University at the time of initial entry.
Non-Program Courses: 18 s.h. Courses in this section cannot be in the major department.
INTR 01265 - Computers and Society	Credits: 3
CS 00100 - Computer Science Learning Community-RS	Credits: 1
MATH 01130 - Calculus I	Credits: 4

BIOL 01104 - Introduction to Evolution and Scientific Inquiry	Credits: 4
or
CHEM 06100 - Chemistry I	Credits: 4
or
PHYS 00220 - Introductory Mechanics	Credits: 4

WA 01302 - Introduction to Technical Writing - WI	Credits: 3
Authorized Lab Science Courses for Computer Science Majors Credits: 4
Required Courses: 52-53 s.h.
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 04113 - Introduction to Object Oriented Programming	Credits: 4
or
CS 04111 - Intensive Introduction to Object Oriented Programming	Credits: 5

CS 04114 - Object Oriented Programming and Data Abstraction	Credits: 3
CS 04215 - Computer Laboratory Techniques	Credits: 3
CS 04222 - Data Structures and Algorithms	Credits: 4
CS 06205 - Computer Organization	Credits: 3
CS 06210 - Advanced Computing Technologies	Credits: 3
CS 07210 - Foundations of Computer Science	Credits: 3
MATH 01131 - Calculus II	Credits: 4
MATH 01210 - Linear Algebra	Credits: 3
MATH 03150 - Discrete Mathematics	Credits: 3
STAT 02290 - Probability and Statistical Inference for Computing Systems	Credits: 3
CS 04315 - Programming Languages	Credits: 3
CS 04321 - Software Engineering	Credits: 4
CS 04400 - Computer Science - Senior Project	Credits: 3
CS 06395 - Operating Systems	Credits: 3
CS 07340 - Design and Analysis of Algorithms	Credits: 3
Computer Science Restricted Electives: 12 s.h. Choose 12 s.h. from the following courses.
Course Name	Credits:	Term Taken	Grade	Gen Ed
CS 01303 - Bioinformatics - Computational Aspects	Credits: 3
CS 01395 - Topics in Computer Science (Only the 3 s.h. version of these courses can count as a Restricted Elective)	Credits: 1 to 4
CS 01400 - Independent Study (Only the 3 s.h. version of these courses can count as a Restricted Elective)	Credits: 1 to 4
CS 02370 - Introduction to Information Visualization	Credits: 3
CS 02421 - Big Data Tools and Techniques	Credits: 3
CS 02440 - Data Warehousing	Credits: 3
CS 02480 - Introduction to Data Mining	Credits: 3
CS 02485 - Web and Text Mining	Credits: 3
CS 03351 - Cyber Security: Fundamentals, Principles and Applications	Credits: 3
CS 03353 - Security of Mobile Devices	Credits: 3
CS 03440 - Cloud Computing and the Internet of Things	Credits: 3
CYBR 01470 - Cyber Operations	Credits: 3
CS 04305 - Web Programming	Credits: 3
CS 04323 - Modern Software Development	Credits:
CS 04350 - Blockchain Programming	Credits: 3
CS 04372 - Advanced Android Programming	Credits: 3
CS 04376 - Advanced iOS Application Programming	Credits: 3
CS 04380 - Object Oriented Design	Credits: 3
CS 04391 - Parallel and Concurrent Programming	Credits: 3
CS 04394 - Distributed Systems	Credits: 3
CS 04401 - Compiler Design	Credits: 3
CS 04444 - Human-Computer Interaction	Credits: 3
CS 04471 - Topics in Mobile Programming	Credits: 3
CS 06310 - Principles of Digital Computers	Credits: 3
CS 06390 - Introduction to Systems Simulation and Modeling	Credits: 3
CS 06420 - Embedded Systems Programming	Credits: 3
CS 06447 - Introduction to IoT Upper Stack	Credits: 3
CS 07310 - Robotics	Credits: 3
CS 07350 - Computer Cryptography	Credits: 3
CS 07422 - Theory of Computing	Credits: 3
CS 02435 - Database Systems: Theory and Programming	Credits: 3
CS 07450 - Artificial Intelligence (AI)	Credits: 3
CS 07455 - Machine Learning	Credits: 3
CS 07459 - Models of Deep Learning	Credits: 3
CS 07460 - Computer Vision	Credits: 3
CS 08360 - Introduction to Computer Graphics	Credits: 3
CS 08380 - Introduction to Computer Animation	Credits: 3
CS 08390 - Introduction to Computer Game Design and Development	Credits: 3
CS 09410 - Data Communications and Networking	Credits: 3
CS 09415 - Wireless Networks, Protocols and Applications	Credits: 3
CS 09416 - Tcp/Ip and Internet Protocols and Technologies	Credits: 3
CYBR 03427 - Principles of Network Security	Credits: 3
CS 99300 - Computer Field Experience (Only the 3 s.h. version of these courses can count as a Restricted Elective)	Credits: 3 to 12
CS 99310 - Advanced Learning Assistant Seminar in Computer Science	Credits: 3
CS 99490 - Computer Science Research II	Credits: 3
DS 02395 - Topics in Data Science (Only the 3 s.h. version of these courses can count as a Restricted Elective)	Credits: 1 to 3
Free Electives: 28-29 s.h.
Total Required Credits for the Program: 120 s.h. Concentrations: In order to give Computer Science majors the opportunity to concentrate, optional concentrations have been added to the Computer Science major at Rowan University. A concentration is composed of four or more specified courses (12 s.h. or more) in Computer Science and other related disciplines that provide a solid foundation in some fundamental area of computer science. The areas of concentration are: Undergraduate Concentration in Artificial Intelligence Undergraduate Concentration in Cybersecurity Defense (BS) Undergraduate Concentration in Data Science Undergraduate Concentration in Graphics, Visualization & Gaming Technology Undergraduate Concentration in Networking Systems Undergraduate Concentration in Software Engineering Note: For comprehensive information on the individual computer science concentrations, students should request from the Department of Computer Science the appropriate curriculum guide which details each concentration and see their Computer Science advisor. 856.256.4805 computerscience@rowan.edu
Notes: