Computer Science, B.S.

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Graduates with a Bachelor of Science in Computer Science have a strong background in both the theoretical and applied areas of computer science. This program stresses the technical and conceptual development of computer programs and systems.

Each graduate has an understanding of software development, operating systems, algorithms, data structures, as well as the opportunity to take advanced courses in various areas of computer science such as artificial intelligence and parallel programming. Students in this program may be eligible for the 4+1 program. Contact your advisor for more information.

Learning Outcomes

Plan of Study for Computer Science 21-22

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System-wide General Education Requirement (30 Credits)

Majors who test directly into MATH 123 or MATH 201 will not need to complete MATH 114 , but must take 3 credits of general electives.

Required Courses (57 Credits)

CSC 105 - Introduction to Computers 3 credits
CSC 150 - Computer Science I 3 credits
CSC 234 - Software Security 3 credits
CSC 250 - Computer Science II 3 credits
CSC 260 - Object Oriented Design 3 credits
CSC 285 - Networking I 3 credits
CSC 300 - Data Structures 3 credits
CSC 310 - Advanced Data Structures 3 credits
CIS 332 - Structured Systems Analysis and Design 3 credits Or
CIS 424 - Software Development with Agile Methodologies 3 credits Or
CSC 321 - Information Security Management 3 credits
CSC 314 - Assembly Language 3 credits
CSC 404 - Foundation of Computation 3 credits
CSC 410 - Parallel Computing 3 credits
CSC 456 - Operating Systems 3 credits
CSC 461 - Programming Languages 3 credits
CSC 470 - Software Engineering 3 credits
CSC 482 - Algorithms and Optimization 3 credits
Select three 300-400-level CIS/CSC courses (9 credits)
(CIS 275 is allowed; CIS 350 is not allowed)

Support Courses (19 Credits)

MATH 123 - Calculus I 4 credits
MATH 201 - Introduction to Discrete Mathematics 3 credits
MATH 281 - Introduction to Statistics 3 credits Or
MATH 381 - Introduction to Probability and Statistics 3-4 credits (3 credits required)
MATH 316 - Discrete Mathematics 3 credits (3 credits required)
MATH Electives* 6 credits
*MATH courses from the BS in Mathematics Major core and Information Systems Specialization: CSC 402 , MATH 125 , MATH 204 , MATH 225 , MATH 282 , MATH 315 , MATH 318 , MATH 321 , MATH 361 , MATH 381 , MATH 413 , MATH 418 , MATH 436 , MATH 437 , MATH 471 , MATH 475 , MATH 492 .

Choose one Specialization or 12 additional credits of electives

Artificial Intelligence/Machine Learning Specialization (12 Credits)

CSC 386 - Machine Learning Fundamentals 3 credits
CSC 447 - Artificial Intelligence 3 credits
Choose 6 credits from the following: (6 credits)
CIS 368 - Predictive Analytics 3 credits
CIS 372 - Programming for Analytics 3 credits
CSC 402 - Mathematical Foundations of Artificial Intelligence 3 credits
CSC 478 - Generative Deep Learning 3 credits
CSC 479 - Reinforcement Learning 3 credits

Software Engineering Specialization (12 Credits)

CIS 275 - Web Application Programming I 3 credits
CIS 375 - Web Application Programming II 3 credits
Choose 6 credits from the following: (6 credits)
CIS 424 - Software Development with Agile Methodologies 3 credits
CIS 476 - Web Development Environments 3 credits
CSC 443 - Scripting for Network Administration 3 credits
CSC 451 - Mobile Development Environments 3 credits
CSC 455 - Software Development Environment & Tools 3 credits

Electives (2-14 Credits)

Note:

Students double majoring in Computer Science and Computer Game Design are required to take other courses as part of the Computer Game Design requirements that address the content of CSC 285 and CSC 470 , so these two courses are being waived from the CSC major requirements.

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