Artificial Intelligence and Machine Learning

This award has been submitted to the Department of Education and is pending approval of Title IV Federal Financial Aid.

The Bachelor of Science (BS) in Artificial Intelligence and Machine Learning provides students with the skills needed for designing and developing machine learning models for predictive analysis, automated decision-making, and the augmentation of human capabilities. The program prepares students for careers as developers and engineers in various fields using artificial intelligence, including information technology, automotive, healthcare, aerospace, finance, industrial, semiconductor, and manufacturing industries. Program content includes in-depth coverage of artificial intelligence, statistical machine learning, deep learning, natural language processing, computer vision, hardware-based optimization, and industrial automation. The curriculum emphasizes computer science, mathematics, and engineering content.

Details

Field of Interest

Science, Technology, Engineering and Mathematics

Degree Type

Bachelor of Science (BS)

Academic Plan

Artificial Intelligence and Machine Learning (DEG)

Academic Plan Code

9310

Total credits required

120

Catalog Year

2025-2026

Effective Term

Fall 2025

Notes

Students must earn a grade of C or better in each course in the program.

What You'll Learn

Design robust software-based solutions applying computer science and engineering principles with an emphasis on artificial intelligence and machine learning.
Demonstrate proficiency in mathematical concepts and techniques essential for designing, implementing, and optimizing machine learning algorithms to solve complex problems in AI.
Analyze complex datasets for developing data-driven strategies and solutions that apply statistical techniques and machine learning algorithms.
Evaluate hardware systems for their processing capabilities as it applies to machine learning algorithms and models.
Apply ethical principles toward the design and implementation of AI systems.
Develop effective communication skills for presenting technical information to diverse audiences.
Apply project management principles to oversee the product lifecycle and meet requirements in diverse and evolving organizational contexts.
Integrate business requirements into the development and deployment of artificial intelligence solutions to ensure alignment with organizational objectives.

Successful completion of this degree may lead to employment in a variety of different occupations and industries. Below are examples of related occupations with associated Arizona-based wages* for this degree. Education requirements vary for the occupations listed below, so you may need further education or degrees in order to qualify for some of these jobs and earn the related salaries. Please visit with an academic advisor and/or program director for additional information. You can click on any occupation to view the detail regarding education level, wages, and employment information.

Computer and Information Research Scientists

$148,090 Show expanded career information for Computer and Information Research Scientists

Computer Programmers

$79,350 Show expanded career information for Computer Programmers

There are additional career opportunities associated with this degree that do not have occupational data available for Arizona at this time. These occupations are listed below:

Data Scientists
Software Developers

* Career and wage information provided by Pipeline AZ using data, reports, and forecasts which are generated using government data sources. Sources

Course Sequence by Term

The following is the suggested course sequence by term. Please keep in mind:

Students should meet with an academic advisor to develop an individual education plan that meets their academic and career goals. Use the Degree Progress Report Tool in your Student Center to manage your plan.
The course sequence is laid out by suggested term and may be affected when students enter the program at different times of the year.
Initial course placement is determined by current district placement measures and/or completion of 100-200 level course and/or program requirements.
Degree and transfer seeking students may be required to successfully complete a MCCCD First Year Experience Course (FYE) within the first two semesters at a MCCCD College. Courses include FYE101 and FYE103. Course offerings will vary by college. See an academic, program, or faculty advisor for details.

Full-time

Full-time Sequence

Full-time status is 12 credits to 18 credits per semester.

A list of additional requirements for this pathway map
Awareness Areas
In addition to the requirements identified in the sequence below, students must complete the following awareness areas if not otherwise met by other program requirements: Cultural [C] and Global [G] or Historical [H] Students are strongly encouraged to visit with an academic advisor to ensure completion of all graduation requirements.

Term 1

A sequence of suggested courses that should be taken during Term 1
Course Number	Course Name	Requisites	Area	Credits
AIM100	Introduction to Artificial Intelligence			3
CSC101	Introduction to Computing with Python			3
MAT220 or MAT221	Calculus with Analytic Geometry I or Calculus with Analytic Geometry I	Prerequisites: A grade of C or better in MAT187, or MAT188, or an appropriate District placement. or Prerequisites: A grade of C or better in MAT187, or an appropriate District placement.	MA or MA	4–5
ENG101 or ENG107	First-Year Composition or First-Year Composition for ESL	Prerequisites: Writing test score or (C or better in ENG091 or ESL097or WAC101) or (B or better in ALT100) or (ALT100 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+) or (ESL202 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+). or Prerequisites: Writing test score or (C or better in ENG091 or ESL097or WAC101) or (B or better in ALT100) or (ALT100 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+) or (ESL202 & Corequisites: ENG101LL or ENG107LL or WAC101 or ENG100A+).	FYC or FYC	3
FYE101 or FYE103	Introduction to College, Career and Personal Success or Exploration of College, Career and Personal Success			1–3

Term 2

A sequence of suggested courses that should be taken during Term 2
Course Number	Course Name	Requisites	Area	Credits
AIM111	Introduction to Data Science	A grade of C or better in (CSC101 and AIM100) or permission of Program Director		3
CSC100 or CSC100AA or CSC100AB or CSC110 or CSC110AA or CSC110AB	Introduction to Computer Science (C++) or Introduction to Computer Science (C++) or Introduction to Computer Science (C++) or Introduction to Computer Science (Java) or Introduction to Computer Science (Java) or Introduction to Computer Science (Java)	Prerequisites: A grade of C or better in MAT120 or MAT121 or MAT122. or Prerequisites: A grade of C or better in MAT120 or MAT121 or MAT122. or Prerequisites: A grade of C or better in MAT095, or MAT096, or MAT114, or MAT115, or MAT12+, or an appropriate District placement for MAT15+ or higher, or permission of Instructor or Department/Division Chair. or Prerequisites: A grade of C or better in MAT120 or MAT121 or MAT122. or Prerequisites: A grade of C or better in MAT120 or MAT121 or MAT122. or Prerequisites: A grade of C or better in MAT095, or MAT096, or MAT114, or MAT115, or MAT12+, or an appropriate District placement for MAT15+ or higher, or permission of Instructor or Department/Division Chair.	CS or CS or CS or CS or CS or CS	3–4
MAT230 or MAT231	Calculus with Analytic Geometry II or Calculus with Analytic Geometry II	Prerequisites: Grade of C or better in MAT220, or MAT221, or equivalent. or Prerequisites: A grade of C or better in MAT220, or MAT221, or equivalent.	MA or MA	4–5
ENG102 or ENG108	First-Year Composition or First-Year Composition for ESL	Prerequisites: Grade of C or better in ENG101. or Prerequisites: A grade of C or better in ENG107.	FYC or FYC	3
COM100 or COM110 or COM225 or COM230 or COM263	Introduction to Human Communication or Interpersonal Communication or Public Speaking or Small Group Communication or Elements of Intercultural Communication	No requisites or No requisites or Prerequisites: A grade of C or better in ENG101, or ENG107, or equivalent. or No requisites or No requisites	SB or SB or L or SB or C, G, SB	0–3

Term 3

A sequence of suggested courses that should be taken during Term 3
Course Number	Course Name	Requisites	Area	Credits
CSC/EEE120	Digital Design Fundamentals	Corequisites: CSC100 or CSC110 or permission of Instructor.	CS	4
CSC205 or CSC205AA or CSC205AB	Object Oriented Programming and Data Structures or Object Oriented Programming and Data Structures or Object Oriented Programming and Data Structures	Prerequisites: A grade of C or better in CSC110 or permission of Instructor. or Prerequisites: A grade of C or better in CSC110 or permission of Instructor. or Prerequisites: A grade of C or better in CSC110, or CSC110AB, or permission of Instructor.	CS or CS or CS	3–4
MAT225	Elementary Linear Algebra	Prerequisites: A grade of C or better in MAT212 or MAT213 or MAT220 or MAT221, or equivalent.		3
MAT206	Elements of Statistics	Prerequisites: A grade of C or better in MAT14+, or MAT15+, or MAT187, or MAT188, or equivalent, or an appropriate District placement, or permission of Department/Division Chair.	CS	3

Term 4

A sequence of suggested courses that should be taken during Term 4
Course Number	Course Name	Requisites	Notes	Area	Credits
AIM250	+ AIM250 Machine Learning	A grade of C or better in [AIM111, (MAT230 or MAT231), MAT225, and MAT206] or permission of Program Director			3
CSC240 or CSC240AA	Introduction to Different Programming Languages or Introduction to Different Programming Languages	Prerequisites: A grade of C or better in CSC205 or permission of Instructor. or Prerequisites: A grade of C or better in CSC205 or permission of Instructor.			3–4
MAT227	Discrete Mathematical Structures	Prerequisites: A grade of C or better in MAT212, or MAT213, or MAT220, or MAT221, or permission of Department or Division Chair.			3
ECE150	Exploring Engineering and its Impact on Society				3
SQ	Natural Sciences Quantitative		Sequential university level BIO, CHM, or PHY	SQ	4

Term 5

A sequence of suggested courses that should be taken during Term 5
Course Number	Course Name	Requisites	Notes	Area	Credits
BAM310	BAM310 Machine Learning II: Deep Learning	A grade of C or better in AIM250 or permission of Program Director			3
BAM/MAT305	Mathematics for Machine Learning	A grade of C or better in (AIM250 and MAT227) or permission of Program Director			3
CSC310	Data Structures and Algorithms	A grade of C or better in [CSC240, and (MAT230 or MAT231), and MAT227], or permission of Program Director			3
SQ	Natural Sciences Quantitative		Sequential university level BIO, CHM, or PHY	SQ	4

Term 6

A sequence of suggested courses that should be taken during Term 6
Course Number	Course Name	Requisites	Notes	Area	Credits
BAM320	Computer Vision	A grade of C or better in (BAM310 and BAM/MAT305) or permission of Program Director			3
BAM330	Natural Language Processing	A grade of C or better in (BAM310 and BAM/MAT305) or permission of Program Director			3
CSC/EEE230	Computer Organization and Assembly Language	Prerequisites: A grade of C or better in (CSC100 or CSC110) and CSC/EEE120, or permission of Instructor.			4
HU	Humanities, Fine Arts & Design		Recommend additional designations: L, C, H/G	HU	3
SB	Social-Behavioral Sciences		Recommend additional designations: L, C, H/G	SB	3
L	Literacy & Critical Inquiry		Recommend additional designations: L, C, H/G	L	0–3

Term 7

A sequence of suggested courses that should be taken during Term 7
Course Number	Course Name	Requisites	Notes	Credits
BAM440	Hardware Optimization for Machine Learning	A grade of C or better in CSC/EEE230, CSC240++, BAM/MAT305, and BAM310		3
BAM490	Capstone Project I	A grade of C or better in BAM320, BAM330, and CSC310		3
CSC350	Logic Programming for Artificial Intelligence	A grade of C or better in (CSC240++ and MAT227) or permission of Program Director		3
RE	Restricted Elective		Students should consult with their college’s Program Director or their faculty or academic advisor to select courses from the list to complete a minimum of 120 total semester credits.	0–3
RE	Restricted Elective			0–3

Term 8

A sequence of suggested courses that should be taken during Term 8
Course Number	Course Name	Requisites	Notes	Area	Credits
BAM450	Planning and Optimization for Automation	A grade of C or better in CSC310, BAM/MAT305, and BAM310			3
BAM499	Capstone Project II	A grade of C or better in BAM490			3
RE	Restricted Elective		Students should consult with their college’s Program Director or their faculty or academic advisor to select courses from the list to complete a minimum of 120 total semester credits.		0–3
RE	Restricted Elective				0–3
SB	Social-Behavioral Sciences		Recommend additional designations: L, C, H/G	SB	3

Restricted Electives

Students should consult with their college’s Program Director or their faculty or academic advisor to select courses that best align with academic and professional goals.
Students should select 0-12 credits from the following list of courses to complete a minimum of 120 total semester credits:

AIM110 Introduction to Machine Learning 3
AIM210 Natural Language Processing 3
AIM220 Artificial Intelligence for Computer Vision 3
AIM230 Artificial Intelligence for Business Solutions 3
AIM240 Artificial Intelligence Capstone Project 3

CIS119DO Introduction to Oracle: SQL 3
CIS276DA MySQL Database 3
CIS276DB SQL Server Database 3
ECE105 MATLAB Programming 1

MAT240 Calculus with Analytic Geometry III (5) OR
MAT241 Calculus with Analytic Geometry III (4) 4-5

MAT276 Modern Differential Equations (4) OR
MAT277 Modern Differential Equations (3) 3-4

Course Area Key

C = Cultural Diversity in the US
CS = Computer/Statistics/Quantitative Application
FYC = First Year Composition
G = Global Awareness
HU = Humanities, Fine Arts, and Design

L = Literacy & Critical Inquiry
MA = Mathematics
SB = Social-Behavioral Sciences
SQ = Natural Sciences Quantitative

Disclaimer

Students must earn a grade of C or better in all courses within the program.

Course Sequence total credits may differ from the program information located on the MCCCD curriculum website due to program and system design.

View MCCCD’s official curriculum documentation for additional details regarding the requirements of this award (https://aztransmac2.asu.edu/cgi-bin/WebObjects/MCCCD.woa/wa/freeForm10?id=189188).

At Maricopa, we strive to provide you with accurate and current information about our degree and certificate offerings. Due to the dynamic nature of the curriculum process, course and program information is subject to change. As a result, the course list associated with this degree or certificate on this site does not represent a contract, nor does it guarantee course availability. If you are interested in pursuing this degree or certificate, we encourage you to meet with an advisor to discuss the requirements at your college for the appropriate catalog year.