Artificial Intelligence and Machine Learning
The Associate in Applied Science (AAS) in Artificial Intelligence and Machine Learning focuses on building machine learning models that can be used for predicting, making decisions and enhancing human capabilities. The program prepares students for entry level positions in a variety of fields using artificial intelligence, including the information technology, automotive, healthcare, aerospace, industrial, and manufacturing industries. Program content includes an introduction to artificial intelligence and machine learning, natural language processing, computer vision, and artificial intelligence for business solutions and other applications. The curriculum also includes coursework in computer programming, math, engineering, and statistics.
Details
Field of Interest
Science, Technology, Engineering and Mathematics
Degree Type
Associate in Applied Science (AAS)
Academic Plan
Artificial Intelligence and Machine Learning (DEG)
Academic Plan Code
3891
Total credits required
61-76
Catalog Year
2024-2025
Effective Term
Fall 2022
Notes
Students must earn a grade of C or better in all courses within the program.
What You'll Learn
- Apply common artificial intelligence (AI) concepts and methodologies, including neural networks/Deep Learning, machine learning, Natural Language Processing, Computer Vision, and data science, for analysis and decision making.
- Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems.
- Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions.
- Use appropriate programming languages to implement artificial intelligence (AI) solutions.
- Communicate in varied settings, orally and visually and in writing, in a culturally responsive manner.
- Collaborate with diverse individuals and teams to design and implement artificial intelligence and machine learning solutions.
- Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning.
- Apply relevant knowledge, skills, and habits of mind to seek career opportunities in the field.
Career statistics
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
Computer Systems Analysts
$98,470 Show expanded career information for Computer Systems Analysts
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:
- Computer Occupations, All Other
- Software Developers, Applications
* 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.
- Consult with your faculty mentor or academic advisor to determine educational requirements, including possible university transfer options, for your chosen career field.
Full-time Sequence
Full-time status is 12 credits to 18 credits per semester.
Term 1
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM100 | Introduction to Artificial Intelligence | Critical course Gateway course | 3 | ||
| CIS105 | Survey of Computer Information Systems | May be waived by permission of the Program Director | CS | 0–3 | |
| MA | Any approved general education course in the Mathematical Applications [MA] area (that serves as a prerequisite for) MAT22+. | MA | 0–9 | ||
| FYE101 or FYE103 |
Introduction to College, Career and Personal Success or Exploration of College, Career and Personal Success | 1–3 |
Term 2
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| ENG101 or ENG107 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 | ||
| MAT206 | Elements of Statistics | Critical course | CS | 3 | |
| CIS156 | Python Programming: Level I | Critical course | 3 | ||
| CIS119DO or CIS276DA or CIS276DB |
Introduction to Oracle: SQL or MySQL Database or SQL Server Database | 3 | |||
| ECE102 | Engineering Analysis Tools and Techniques | 2 |
Term 3
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| MAT220 or MAT221 |
Calculus with Analytic Geometry I or Calculus with Analytic Geometry I | MA or MA | 4–5 | ||
| AIM110 | Introduction to Machine Learning | Critical course | 3 | ||
| ECE103 | Engineering Problem Solving and Design | 2 | |||
| ENG102 or ENG108 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 | ||
| RE | Restricted Elective | 0–3 |
Term 4
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| CRE101 | College Critical Reading and Critical Thinking | L | 0–3 | ||
| MAT225 | Elementary Linear Algebra | 3 | |||
| AIM210 | Natural Language Processing | 3 | |||
| AIM220 | Artificial Intelligence for Computer Vision | 3 | |||
| SG or SQ | Natural Sciences | Any approved general education course in the Natural Sciences area. | 4 | ||
| COM100 or COM110 or COM225 or COM230 |
Introduction to Human Communication or Interpersonal Communication or Public Speaking or Small Group Communication | Or any approved general education course from the Oral Communication area | SB or SB or L or SB | 3 |
Term 5
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM230 | Artificial Intelligence for Business Solutions | 3 | |||
| AIM240 | Artificial Intelligence Capstone Project | 3 | |||
| HU | Humanities, Fine Arts & Design | HU | 3 | ||
| SB | Social-Behavioral Sciences | Recommend PSY101 or SOC101 | SB | 3 |
Restricted Electives:
Select a programming language from below that best aligns with academic and professional goals (to complete the minimum total program credits required for this degree) in one of the following areas:
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| CIS150 | Programming Fundamentals | 3 | |||
| CIS150AB | Object-Oriented Programming Fundamentals | 3 | |||
| CIS159 | Visual Basic Programming I | 3 | |||
| CIS162++ | Any C Programming: Level I course | 3 | |||
| CIS163AA | Java Programming: Level I | CS | 3 | ||
| CIS165++ | Any Mobile Application Development course | 3 | |||
| CSC100++ | Introduction to Computer Science (C++) | 3–4 | |||
| CSC110++ | Introduction to Computer Science (Java) | 3–4 |
Part-time Sequence
Part-time status is 11 credit hours or less.
Term 1
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| CIS105 | Survey of Computer Information Systems | May be waived by permission of the Program Director | CS | 0–3 | |
| ENG101 or ENG107 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 | ||
| MA | Any approved general education course in the Mathematical Applications [MA] area (that serves as a prerequisite for) MAT22+. | MA | 0–9 | ||
| FYE101 or FYE103 |
Introduction to College, Career and Personal Success or Exploration of College, Career and Personal Success | 1–3 |
Term 2
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM100 | Introduction to Artificial Intelligence | Critical course Gateway course | 3 | ||
| ENG102 or ENG108 |
First-Year Composition or First-Year Composition for ESL | FYC or FYC | 3 |
Term 3
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| MAT206 | Elements of Statistics | Critical course | CS | 3 | |
| CIS156 | Python Programming: Level I | Critical course | 3 | ||
| ECE102 | Engineering Analysis Tools and Techniques | 2 |
Term 4
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| MAT220 or MAT221 |
Calculus with Analytic Geometry I or Calculus with Analytic Geometry I | MA or MA | 4–5 | ||
| AIM110 | Introduction to Machine Learning | Critical course | 3 |
Term 5
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| CIS119DO or CIS276DA or CIS276DB |
Introduction to Oracle: SQL or MySQL Database or SQL Server Database | 3 | |||
| ECE103 | Engineering Problem Solving and Design | 2 | |||
| MAT225 | Elementary Linear Algebra | 3 |
Term 6
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM210 | Natural Language Processing | 3 | |||
| CRE101 | College Critical Reading and Critical Thinking | L | 0–3 |
Term 7
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| AIM220 | Artificial Intelligence for Computer Vision | 3 | |||
| AIM230 | Artificial Intelligence for Business Solutions | 3 |
Term 8
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| SG or SQ | Natural Sciences | Any approved general education course in the Natural Sciences area. | 4 | ||
| AIM240 | Artificial Intelligence Capstone Project | 3 |
Term 9
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| HU | Humanities, Fine Arts & Design | HU | 3 | ||
| SB | Social-Behavioral Sciences | Recommend PSY101 or SOC101 | SB | 3 |
Term 10
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| RE | Restricted Elective | 0–3 | |||
| COM100 or COM110 or COM225 or COM230 |
Introduction to Human Communication or Interpersonal Communication or Public Speaking or Small Group Communication | Or any approved general education course from the Oral Communication area | SB or SB or L or SB | 3 |
Restricted Electives:
Select a programming language from below that best aligns with academic and professional goals (to complete the minimum total program credits required for this degree) in one of the following areas:
| Course Number | Course Name | Requisites | Notes | Area | Credits |
|---|---|---|---|---|---|
| CIS150 | Programming Fundamentals | 3 | |||
| CIS150AB | Object-Oriented Programming Fundamentals | 3 | |||
| CIS159 | Visual Basic Programming I | 3 | |||
| CIS162++ | Any C Programming: Level I course | 3 | |||
| CIS163AA | Java Programming: Level I | CS | 3 | ||
| CIS165++ | Any Mobile Application Development course | 3 | |||
| CSC100++ | Introduction to Computer Science (C++) | 3–4 | |||
| CSC110++ | Introduction to Computer Science (Java) | 3–4 |
Course Area Key
Gateway Course = Generally the first major-specific course in a pathway.
Critical Course = A course that is highly predictive of future success in a pathway.
- CS = Computer/Statistics/Quantitative Application
- FYC = First Year Composition
- HU = Humanities, Fine Arts, and Design
- L = Literacy & Critical Inquiry
- MA = Mathematics
- SB = Social-Behavioral Sciences
Disclaimer
Students must earn a grade of C or better for all courses required 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/freeForm13?id=176790).
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.
Previous Catalog Years
The pathway map presented above is for the current catalog year and is the intended pathway map for new students. All previous catalog years for this pathway map are available at the link below.