Computer Science (BS), Artificial Intelligence Concentration

Program Overview

The Department of Computer Science in the College of Engineering at NC State University offers a Bachelor of Science in Computer Science degree. The degree is nationally accredited by the Computing Accreditation Commission of ABET

Students complete the standard set of engineering first-year courses, which include courses in the humanities, chemistry, mathematics, physics, and computing. Students may apply to join the Department of Computer Science as degree-seeking students via the CODA process.  

The Computer Science curriculum teaches students the skills needed to understand, design, implement, test, and deploy computer systems and software systems. Core courses provide a foundation for all students in programming languages, data structures, software engineering, computer architectures, the theory of computation, the basics of building secure software and systems, teaming and communication, and the social and ethical dimensions of the practice of computer science. 

All Computer Science majors must complete a team project in Senior Design. Projects under the auspices of the department’s Senior Design Center have industrial sponsors, so student teams gain experience working jointly with industry representatives to achieve project goals. Senior Design teams are expected to solve a technical computing problem while effectively communicating their work and process to various audiences.

To see more about what you will learn in this program, visit the Learning Outcomes website!

Artificial Intelligence Concentration

The AI concentration supports the overall goals of the National Artificial Intelligence Initiative, which seeks to advance American development of AI applications, management, and other areas. It supports the Engineering Grand Challenges of Advance Personalized Learning, Enhance Virtual Reality, Reverse-Engineer the Brain, and Engineer the Tools of Scientific Discovery.

The Artificial Intelligence (AI) Concentration provides the student with the opportunity to develop intelligent and autonomous systems in multiple domains, apply machine learning and data mining to address real-world problems, and incorporate intelligent behavior into computing platforms. Students complete 21 credit hours of focused work on AI topics.

Departmental Information

The Department of Computer Science is located in Engineering Building II on NC State’s Centennial Campus.  

Department of Computer Science website

Contact Computer Science Academic Advising

Plan Requirements

Major Field of Study Requirements
Math
MA 141Calculus I 1,24
MA 241Calculus II 1,24
MA 242Calculus III4
MA 305Introductory Linear Algebra and Matrices3
ST 370Probability and Statistics for Engineers3
Sciences
CH 101
CH 102
Chemistry - A Molecular Science
and General Chemistry Laboratory 1,2
4
PY 205
PY 206
Physics for Engineers and Scientists I
and Physics for Engineers and Scientists I Laboratory 1,2
4
PY 208
PY 209
Physics for Engineers and Scientists II
and Physics for Engineers and Scientists II Laboratory
4
Basic Science Elective3
CSC Major
CSC 116Introduction to Computing - Java 23
CSC 216
CSC 217
Software Development Fundamentals
and Software Development Fundamentals Lab 2
4
CSC 226Discrete Mathematics for Computer Scientists 23
CSC 230C and Software Tools3
CSC 246Concepts and Facilities of Operating Systems for Computer Scientists3
CSC 316Data Structures and Algorithms3
CSC 326Software Engineering4
CSC 333Automata, Grammars, and Computability3
CSC 379Ethics in Computing1
CSC 492Senior Design Project3
Other Major
CSC Restricted Elective3
Other Restricted Elective 300+3
ENG 331Communication for Engineering and Technology3
Concentration Courses/Groups/Electives
CSC 411Introduction to Artificial Intelligence 23
CSC 422Automated Learning and Data Analysis 23
CSC AI Restricted Elective 26
Database Management Systems
Introduction to Data Science
Social Computing and Decentralized Artificial Intelligence
Building Game AI
AI Restricted Electives9
Predictive Analytics for Business
Financial Analytics
Financial Modeling
Operations Modeling and Analysis
Decision Modeling and Analysis
Introduction to Numerical Analysis I
Introduction to Numerical Analysis II
Special Topics in Data Science
Econometrics I
Econometrics II
Deterministic Models in Industrial Engineering
Stochastic Models in Industrial Engineering
Database Applications in Industrial & Systems Engineering
Data Analytics for Industrial Engineering
Introduction to Simulation
Applications of Data Science in Healthcare
Applied Differential Equations I
Introduction to Discrete Mathematical Models
Applied Differential Equations II
Mathematics of Scientific Computing
Introduction to Probability
Mathematical Models in the Physical Sciences
Mathematical Models in Life Sciences
Introduction to Statistical Programming- SAS
Introduction to Statistical Inference and Regression
Introduction to Regression Analysis
Introduction to Experimental Design
Introduction to Survey Sampling
Applied Multivariate and Longitudinal Data Analysis
Applied Bayesian Analysis
Introduction to Statistical Computing and Data Management
College Requirements
Orientation Course(s):4
Introduction to Engineering & Problem Solving 1,3
Engineering in the 21st Century 2
Introduction to Computing Environments 1
Other:3
Fundamentals of Economics
Principles of Microeconomics
Introduction to Agricultural & Resource Economics
General Education Program Requirements
ENG 101 1,34
GEP Humanities6
GEP Social Sciences3
GEP Additional Breadth3
GEP Interdisciplinary Perspectives3
GEP Health and Exercise Studies2
GEP U.S. Diversity (verify requirement)
GEP Global Knowledge (verify requirement)
Foreign Language Proficiency (verify requirement)
Total Hours121

 Basic Science Elective

BIO ***
CH 201Chemistry - A Quantitative Science3
MEA ***
PB ***
PY 123Stellar and Galactic Astronomy3
PY 124Solar System Astronomy3
PY 328Stellar and Galactic Astrophysics3
PY 341Relativity, Gravitation and Cosmology3
PY 401Quantum Physics I3
PY 402Quantum Physics II3
PY 407Introduction to Modern Physics3
PY 411Mechanics I3
PY 412Mechanics II3
PY 413Thermal Physics3
PY 414Electromagnetism I3
PY 415Electromagnetism II3
ZOO ***

 CSC Restricted Elective

CSC 236Computer Organization and Assembly Language for Computer Scientists3
CSC 302Introduction to Numerical Methods3
CSC 342Applied Web-based Client-Server Computing3
CSC 401Data and Computer Communications Networks3
CSC 402Networking Projects3
CSC 405Computer Security3
CSC 406Architecture Of Parallel Computers3
CSC 411Introduction to Artificial Intelligence3
CSC 412Compiler Construction3
CSC 414Foundations of Cryptography3
CSC 415Software Security3
CSC 416Introduction to Combinatorics3
CSC 417Theory of Programming Languages3
CSC 419DevOps: Modern Software Engineering Practices3
CSC 422Automated Learning and Data Analysis3
CSC 431File Organization and Processing3
CSC 433Privacy in the Digital Age3
CSC 440Database Management Systems3
CSC 442Introduction to Data Science3
CSC 447Introduction to Cloud Computing3
CSC 450Web Services3
CSC 453Introduction to Internet of Things (IoT) Systems3
CSC 454Human-Computer Interaction3
CSC 455Social Computing and Decentralized Artificial Intelligence3
CSC 456Computer Architecture and Multiprocessors3
CSC 461Computer Graphics3
CSC 462Advanced Computer Graphics Projects3
CSC 467Multimedia Technology3
CSC 471Modern Topics in Cybersecurity3
CSC 472Cybersecurity Projects3
CSC 474Network Security3
CSC 481Game Engine Foundations3
CSC 482Advanced Computer Game Projects3
CSC 484Building Game AI3
CSC 486Computational Visual Narrative3
CSC 495Special Topics in Computer Science1-6
CSC 498Independent Study in Computer Science3
CSC 499Independent Research in Computer Science1-6
CSC 5**
ECE 482Engineering Entrepreneurship and New Product Development I3
ECE 483Engineering Entrepreneurship and New Product Development II3
MA 414Foundations of Cryptography3
MA 416Introduction to Combinatorics3
ST 442Introduction to Data Science3

 Other Restricted Elective 300+

CSC Restricted Elective Courses1-6
ACC 310Intermediate Financial Accounting I3
ACC 311Intermediate Financial Accounting II3
ACC 330An Introduction To Income Taxation3
ACC 340Accounting Information Systems3
ARS 306Music Composition with Computers3
BUS 320Financial Management3
BUS 340Information Systems Management3
BUS 360Marketing Methods3
BUS 4**
CHE 435Process Systems Analysis and Control3
CHE 465Colloidal and Nanoscale Engineering3
CSC 427Introduction to Numerical Analysis I3
CSC 428Introduction to Numerical Analysis II3
EC 3**
EC 4**
EC 5**
ECE 3** (except for ECE 309)
ECE 4**
ECE 5**
EMS 480Teaching Mathematics with Technology3
GC 3203D Spatial Relations3
GC 350Applied CAD/D and Geometric Controls3
GC 420Visual Thinking3
GN 5**
ISE 311Engineering Economic Analysis3
ISE 361Deterministic Models in Industrial Engineering3
ISE 4**
ISE 5**
LOG 335Symbolic Logic3
LOG 435Advanced Logic & Metamathematics3
LOG 535Advanced Logic and Metamathematics3
MA 302Numerical Applications to Differential Equations1
MA 341Applied Differential Equations I3
MA 351Introduction to Discrete Mathematical Models3
MA 401Applied Differential Equations II3
MA 402Mathematics of Scientific Computing3
MA 403Introduction to Modern Algebra3
MA 405Introduction to Linear Algebra3
MA 407Introduction to Modern Algebra for Mathematics Majors3
MA 408Foundations of Euclidean Geometry3
MA 410Theory of Numbers3
MA 412Long-Term Actuarial Models3
MA 413Short-Term Actuarial Models3
MA 425Mathematical Analysis I3
MA 426Mathematical Analysis II3
MA 427Introduction to Numerical Analysis I3
MA 428Introduction to Numerical Analysis II3
MA 430Mathematical Models in the Physical Sciences3
MA 432Mathematical Models in Life Sciences3
MA 437Applications of Algebra3
MA 440Game Theory3
MA 5**
MAE 3**
MAE 4**
MAE 5**
MIE 3**
MIE 4**
MSE 3**
MSE 4**
MSE 5**
MUS 306Music Composition with Computers3
NE 3**
NE 4**
NE 5**
OR 5**
PHI 425Introduction to Cognitive Science3
PSY 307Industrial and Organizational Psychology3
PSY 340Human Factors Psychology3
PSY 400Perception3
PSY 420Cognitive Processes3
PSY 425Introduction to Cognitive Science3
PY 4**
PY 5**
ST 372Introduction to Statistical Inference and Regression3
ST 4**
ST 5**