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 structured programming techniques, operating systems, computer architecture, data structures, as well as the opportunity to take advanced courses in various areas of computer science. Students in this program may be eligible for the 4+1 program. Contact the Dean of the Beacom College of Computer and Cyber Sciences for more information.

System-wide General Education Requirement (30 Credits)

Majors who test directly into MATH 123 or MATH 201 will not need to complete MATH 102 , but must take 3 credits of general electives.

Required Courses (57 Credits)

CIS 332 - Structured Systems Analysis and Design 3 credits Or
CSC 321 - Information Security Management 3 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 300 - Data Structures 3 credits
CSC 310 - Advanced Data Structures 3 credits
CSC 314 - Assembly Language 3 credits
CSC 383 - Networking I 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 2-3 credits (3 credits required)
MATH Electives* 6 credits
* MATH 125 or MATH 200-level or above (except MATH 341 /MATH 342 )

Artificial Intelligence/Machine Learning Specialization (12 Credits)

Student may choose the Artificial Intelligence/Machine Learning Specialization or 12 additional credits of electives.

CSC 447 - Artificial Intelligence 3 credits
CSC 483 - Machine Learning Fundamentals 3 credits
Choose 6 credits from the following:
CIS 368 - Predictive Analytics 3 credits
CIS 372 - Programming for Analytics 3 credits
CIS 474 - Business Intelligence and Big Data 3 credits
CSC 486 - Data Mining Methods 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 CIS 383 and CSC 470, so these two courses are being waived from the CSC major requirements.

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