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Computer Science (Artificial Intelligence), BS

Academic programs / Undergraduate degrees / Computer Science (Artificial Intelligence) / 2026-2027 Curriculum
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Program details

Catalog Year: 2026 - 2027 General Studies Gold
Degree: Bachelor of Science, BS
College/School: Ira A. Fulton Schools of Engineering
Plan Code: ESCSEAIBS
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120
minimum credit hours
54
Upper division minimum
credit hours

Curriculum Checksheet

Requirement Minimum Grade Credit Hours

Please see our degree requirements website for links to our flowcharts and our most up to date course lists.
Computer Science, BS Lower Division Core Requirements
CSE 110 Principles of Programming
3 Credit Hours
Minimum Grade:C
 C 3
CSE 205 Object-Oriented Programming and Data Structures
3 Credit Hours
Minimum Grade:C
 C 3
CSE 230 Computer Organization and Assembly Language Programming
3 Credit Hours
Minimum Grade:C
 C 3
CSE 240 Introduction to Programming Languages
3 Credit Hours
Minimum Grade:C
 C 3
EEE 120 Digital Design Fundamentals
3 Credit Hours
Minimum Grade:C
 C 3
FSE 100 Introduction to Engineering
2 Credit Hours
Minimum Grade:C
 C 2
Computer Science, BS Upper Division Core Requirements
CSE 300 Ethics for the Information Age (HUAD)
3 Credit Hours
Minimum Grade:C
 C 3
CSE 310 Data Structures and Algorithms
3 Credit Hours
Minimum Grade:C
 C 3
CSE 330 Operating Systems
3 Credit Hours
Minimum Grade:C
 C 3
CSE 340 Principles of Programming Languages
3 Credit Hours
Minimum Grade:C
 C 3
CSE 355 Introduction to Theoretical Computer Science
3 Credit Hours
Minimum Grade:C
 C 3
CSE 360 Introduction to Software Engineering
3 Credit Hours
Minimum Grade:C
 C 3
CSE 485 Computer Science Capstone Project I
3 Credit Hours
Minimum Grade:C
 C 3
CSE 486 Computer Science Capstone Project II
3 Credit Hours
Minimum Grade:C
 C 3
IEE 380 Probability and Statistics for Engineering Problem Solving (QTRS)
3 Credit Hours
Minimum Grade:C
 C 3
MAT 343 Applied Linear Algebra
3 Credit Hours
Minimum Grade:C
 C 3
Computer Science (Artificial Intelligence) Concentration Requirements
CSE 471 Introduction to Artificial Intelligence
3 Credit Hours
Minimum Grade:C
 C 3
CSE 475 Foundations of Machine Learning
3 Credit Hours
Minimum Grade:C
 C 3
9 Credit Hours
Minimum Grade:C
 C 9
Computer Science Electives
CSE 365 Information Assurance
3 Credit Hours
Minimum Grade:C
 C 3
AEE 415 Vibration Analysis
AEE 426 Design of Aerospace Structures
AEE 462 Space Vehicle Dynamics and Control
AEE 463 Aircraft Propulsion
AEE 465 Rocket Propulsion
AEE 468 Aircraft Systems Design
AEE 471 Computational Fluid Dynamics
AME 430 Mac Development for Media Arts
AME 435 Mobile Development
BCH 361 Principles of Biochemistry
BCH 461 General Biochemistry I
BCH 462 General Biochemistry II
BIO 340 General Genetics
BIO 343 Genetic Engineering and Society
BIO 345 Evolution
BME 350 Signals and Systems for Bioengineers
BME 416 Advanced Biomechanics
BME 494 Topic: Applied Computational Behavioral Science
CEE 412 Pavement Analysis and Design
CEE 432 Developing Software for Engineering Applications
CEE 440 Hydrology
CEE 441 Water Resources Engineering
CEE 452 Foundations
CEE 462 Unit Operations in Environmental Engineering
CEE 466 Urban Water System Design
CEE 467 Environmental Health Microbiology
CEE 474 Transportation Systems Planning
CEE 475 Highway Geometric Design
CEE 481 Civil Engineering Project Management
CEE 486 Integrated Civil Engineering Design
CHE 342 Introduction to Applied Chemical Thermodynamics
CHE 432 Principles of Chemical Engineering Design
CHE 442 Introduction to Chemical Reactor Design
CHE 461 Process Dynamic Control (QTRS)
CHE 462 Process Design
CHE 469 Air Quality Engineering
CHE 475 Biochemical Engineering
CIS 415 Big Data and AI in Business
CPI 311 Game Engine Development
CPI 350 Evaluation of Informatics Systems
CPI 360 Decision Making and Problem Solving
CPI 411 Graphics for Games
CPI 460 Intelligent Interactive Instructional Systems
CPI 462 Design for Learning in Virtual Worlds
CSE 320 Design and Synthesis of Digital Hardware
CSE 325 Embedded Microprocessor Systems
CSE 335 Principles of Mobile Application Development
400-Level  CSE Elective
DAT 300 Mathematical Tools for Data Science
DAT 301 Exploring Data in R and Python
DAT 401 Statistical Modeling and Inference for Data Science
DAT 402 Machine Learning for Data Science
EEE 304 Signals and Systems II
EEE 333 Hardware Design Languages and Programmable Logic
EEE 335 Analog and Digital Circuits
EEE 350 Random Signal Analysis (QTRS)
EEE 360 Energy Systems and Power Electronics
EEE 404 Real-Time DSP Systems
EEE 407 Digital Signal Processing
EEE 425 Digital Systems and Circuits
EEE 433 Analog Integrated Circuits
EEE 434 Quantum Mechanics for Engineers
EEE 435 Fundamentals of CMOS and MEMS
EEE 436 Fundamentals of Solid-State Devices
EEE 437 Optoelectronics
EEE 443 Antennas for Wireless Communications
EEE 445 Microwaves
EEE 448 Fiber Optics
EEE 455 Communication Systems
EEE 459 Communication Networks
EEE 460 Nuclear Power Engineering
EEE 463 Electrical Power Plants
EEE 470 Electric Power Devices
EEE 471 Power System Analysis
EEE 473 Electrical Machinery
EEE 480 Feedback Systems
EEE 481 Computer-Controlled Systems
FSE 301 Entrepreneurship and Value Creation
FSE 404 EPICS Gold: EPICS in Action
FSE 420 Global Engineering for Humanity
IEE 376 Operations Research Deterministic Techniques/Applications
IEE 381 Lean Six Sigma Methodology
IEE 385 Engineering Statistics: Probability
IEE 412 Introduction to Financial Engineering
IEE 426 Operations Research in Healthcare
IEE 431 Engineering Administration
IEE 456 Introduction to Systems Engineering
IEE 458 Project Management
IEE 461 Production Control
IEE 470 Stochastic Operations Research
IEE 474 Quality Control
IEE 475 Simulating Stochastic Systems (QTRS)
MAE 341 Mechanism Analysis and Design
MAE 404 Finite Elements in Engineering
MAE 417 System Dynamics and Control II
MAE 436 Combustion
MAE 455 Polymers and Composites
MEE 351 Manufacturing Processes
MEE 434 Internal Combustion Engines
MEE 446 Energy Systems Design II
MSE 335 Materials Kinetics
MSE 415 Mathematical and Computer Methods in Materials
PHY 302 Mathematical Methods in Physics II
PHY 361 Introductory Modern Physics
PHY 462 Particle and Nuclear Physics
SER 421 Web-Based Applications
SER 422 Web Application Programming
SER 423 Mobile Systems
STP 421 Probability
STP 425 Stochastic Processes
STP 427 Mathematical Statistics
STP 429 Applied Regression (QTRS)
6 Credit Hours
Minimum Grade:C
 C 6
Computer Science Major GPA
Check: Minimum 2.00 Major GPA
Computer Science, BS Mathematics Requirements
MAT 243 Discrete Mathematical Structures
3 Credit Hours
Minimum Grade:C
 C 3
MAT 265 Calculus for Engineers I (MATH)
OR MAT 270 Calculus with Analytic Geometry I (MATH)
3 - 4 Credit Hours
Minimum Grade:C
 C 3 - 4
MAT 266 Calculus for Engineers II (MATH)
OR MAT 271 Calculus with Analytic Geometry II (MATH)
3 - 4 Credit Hours
Minimum Grade:C
 C 3 - 4
MAT 267 Calculus for Engineers III (MATH)
OR CSE 259 Logic in Computer Science
OR MAT 272 Calculus with Analytic Geometry III (MATH)
3 - 4 Credit Hours
Minimum Grade:C
 C 3 - 4
Lab Science

Applied Biological Science:

ABS 130 Introduction to Environmental Science (SCIT)

Astronomy:

AST 112 Introduction to Stars, Galaxies, and Cosmology (SCIT)

Biology:

BIO 100 The Living World (SCIT)
BIO 130 Introduction to Environmental Science (SCIT)
BIO 160 Introduction to Anatomy and Physiology (SCIT)
BIO 181 General Biology I (SCIT)
BIO 182 General Biology II (SCIT)
BIO 201 Human Anatomy and Physiology I (SCIT)
BIO 202 Human Anatomy and Physiology II (SCIT)

Chemistry:

CHM 101 Introductory Chemistry (SCIT)
CHM 107 Chemistry and Society (SCIT) AND
CHM 108 Chemistry and Society Laboratory (SCIT)
CHM 111 General Chemistry Laboratory for Majors I (SCIT) AND
CHM 117 General Chemistry for Majors I (SCIT)
CHM 112 General Chemistry Laboratory for Majors II (SCIT) AND
CHM 118 General Chemistry for Majors II (SCIT)
CHM 113 General Chemistry I (SCIT)
CHM 114 General Chemistry for Engineers (SCIT)
CHM 116 General Chemistry II (SCIT)
CHM 231 Elementary Organic Chemistry (SCIT)
CHM 235 Elementary Organic Chemistry Laboratory (SCIT)

Environmental Sciences:

ENV 130 Introduction to Environmental Science (SCIT)

Forensics:

FOR 105 Physical Evidence and the Crime Scene (SCIT)
FOR 106 Biology Behind the Crime Scene (SCIT)

Geological Sciences:

GLG 101 Introduction to Geology I (Physical) (SCIT) AND
GLG 103 Introduction to Geology I: Laboratory (SCIT)
GLG 102 Introduction to Geology II (Historical) (SCIT) AND
GLG 104 Introduction to Geology II: Laboratory (SCIT)
GLG 108 Water Planet (SCIT)
GLG 110 Dangerous World (SCIT) AND
GLG 111 Dangerous World Laboratory (SCIT)

Physical Geography:

GPH 111 Introduction to Physical Geography (SCIT) AND
GPH 112 Introduction to Physical Geography Lab (SCIT)
GPH 211 Landform Processes (SCIT)
GPH 212 Introduction to Meteorology (SCIT) AND
GPH 214 Introduction to Meteorology Laboratory (SCIT)

Material Science:

MSE 208 Patterns in Nature (SCIT)

Physical Science:

PHS 110 Fundamentals of Physical Science (SCIT)
PHS 208 Patterns in Nature (SCIT)

Physics:

PHY 101 Introduction to Physics (SCIT)
PHY 111 General Physics (SCIT) AND
PHY 113 General Physics Laboratory (SCIT)
PHY 112 General Physics (SCIT) AND
PHY 114 General Physics Laboratory (SCIT)
PHY 121 University Physics I: Mechanics (SCIT) AND
PHY 122 University Physics Laboratory I (SCIT)
PHY 131 University Physics II: Electricity and Magnetism (SCIT) AND
PHY 132 University Physics Laboratory II (SCIT)
PHY 150 Physics I (SCIT)
PHY 151 Physics II (SCIT)
PHY 252 Physics III (SCIT)

Earth Space:

SES 106 Habitable Worlds (SCIT)
SES 121 Earth, Solar System and Universe (SCIT) AND
SES 123 Earth, Solar System and Universe Laboratory (SCIT)
SES 141 Energy In Everyday Life (SCIT)

Sustainability:

SOS 182 Water Planet (SCIT)
AND Scientific Thinking in Natural Sciences (SCIT)

Students must complete eight credit hours of courses that satisfy SCIT from the same subject area. An additional course (3-4 credit hours) must be completed from a different subject area.

11 Credit Hours
11
ASU 101 or College-Specific First-Year Seminar
ASU 101 or college-specific equivalent First-Year Seminar required of all first-year students.
ASU 101-CAI The ASU Experience
1 Credit Hours
Minimum Grade:
1
First-Year Composition
ENG 101 First-Year Composition AND ENG 102 First-Year Composition
OR ENG 105 Advanced First-Year Composition
OR ENG 107 First-Year Composition AND ENG 108 First-Year Composition
6 Credit Hours
Minimum Grade:C
 C 6
Notes

All baccalaureate degree students must fulfill university graduation requirements, including a minimum of 120 credit hours, with at least 45 credit hours in upper-division courses.

All undergraduate students must complete General Studies requirements.

Mathematics Placement Assessment score determines placement in first mathematics course.
Students should work with their academic advisor, and consider course prerequisites, in order to complete all degree requirements in four years.
General Studies designations listed next to courses were valid for the 2026 - 2027 academic year. Please refer to the course catalog for current General Studies designations at time of class registration. General Studies credit is applied according to the designation the course carries at the time the class is taken.
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