Computer Science, AI Concentration, Major

Print Degree Planner (opens a new window) |

Students who graduate with a Bachelor of Science (BS) in Computer Science with the AI Concentration will be prepared for both graduate school and for software development careers with an AI emphasis. The curriculum provides a solid base in computer science fundamentals with an AI integration that includes software design and development, problem solving and debugging, theoretical and mathematical foundations, computer systems, and system software.

Program Learning Outcomes

Students in the AI Concentration meet the outcomes of the Computer Science Major:

Theory: Explain and analyze standard computer science algorithms and describe and analyze theoretical aspects of various programming languages
Application: Apply problem-solving skills to implement medium and large scale programs in a variety of programming languages
Systems: Describe the interactions between low-level hardware, operating systems, and applications
Project: Demonstrate effective communication and organization as part of a team of software developers or researchers collaborating on a large computer program

They also meet an additional learning outcome for the Concentration:

AI: Demonstrate AI literacy and competency, defined as the capacity to use, evaluate and develop AI solutions to problems and to be able to be an informed user and consumer of AI.

Major Requirements (56-58 units)

Students majoring in Computer Science must earn a grade of C or better in MATH 201, MATH 202, and all of the computer science courses fulfilling requirements for the major.

A student can repeat no more than two Mathematics or Computer Science courses required in the major, and a course can be repeated only one time.

A withdrawal counts as an attempt at a course without passing or earning a minimum grade required in the course.

Lower Division (20-22 units)

Complete the following:

Upper Division (24 units)

Systems Area (8 units)

Complete 8 units from the following:

Theory and Languages Area (4 units)

Students in the AI Concentration satisfy the Theory requirement with CS 362.

CS 362 - Foundations of AI

Applications Area (4 units)

Students in the AI concentration satisfy the Applications requirement with CS 463.

CS 463 - Foundations of ML

AI Content (4 units)

Complete 4 units from the following:

Projects (4 units)

Students in the AI concentration satisfy the Projects requirement with CS 490.

CS 490 - Senior Team Project

Math Requirement (12 units)

Science Core Requirement

Computer Science students must take one of the following classes for Core B2:

Degree Planner

First-Year

Fall	Units
CS 111 - Foundations of Program Design	4
Core B1: MATH 109 - Calculus & Analytic Geom I (Prerequisite MATH 108 - Precalculus )	4
Core - Composition recommended	4
Core or First Year Seminar	4
Total Semester Units	16
Spring	Units
CS 112 - OOP and Data Structure	4
MATH 201 - Discrete Mathematics	4
Core - Public Speaking or Rhetoric and Composition recommended	4
Core	4
Total Semester Units	16

Sophomore Year

Fall	Units
CS 221 - C and Systems Programming	4
MATH 202 - Linear Algebra & Probability	4
Core or Language - Course 1	4
Core or Science requirement	4
Total Semester Units	16
Spring	Units
Core	4
CS 245 - Int. Data Structures and Algs	4
Core or Language - Course 2	4
Core	4
Total Semester Units	16

Junior Year

Fall	Units
CS 315 - Computer Architecture	4
CS 362 - Foundations of AI	4
Core	4
Core	4
Total Semester Units	16
Spring	Units
CS 272 - Software Development	4
Applications requirement: Choose an AI course	4
Core	4
Core	4
Total Semester Units	16

Senior Year

Fall	Units
CS 490 - Senior Team Project	4
Systems requirement	4
Core/Elective	4
Total Semester Units	12
Spring	Units
CS: Choose an AI course (this completes the AI concentration)	4
Core/Elective	4
Core/Elective	4
Total Semester Units	12

*This information is subject to change, the degree planner is a sample, and students should consult with the department for any updated information.