Artificial Intelligence

Location(s): Catonsville, Essex, Online

Program Checklist (opens a new window) |

Important Information

Short Description

This degree is designed for transfer to a four-year institution in a range of technology fields. Students will explore the core principles of artificial intelligence, including machine learning principles, natural language processing, and data-driven decision-making. The program highlights AI’s potential to automate complex tasks, reduce human error, and drive innovation. The curriculum emphasizes the ethical and practical implications of AI, providing a strong foundation for careers in emerging AI-related fields.

Type of Credential

Associate of Science (A.S.)

Program Code

136

Contacts and Additional Information

Department Chair:

Wendy Chin
443-840-4879 or wchin@ccbcmd.edu

Program Coordinators:

CCBC Catonsville, Melissa Akhimiemona
443-840-5156 or makhimiemona@ccbcmd.edu

CCBC Essex/Dundalk, James Braman
443-840-1727 or jbraman@ccbcmd.edu

Additional Information:

Opportunities to earn Credit for Prior Learning CPL - Several General Education classes offer CPL. See Portfolio, Departmental Exam, CLEP, DSST, Advanced Placement, and International Baccalaureate.
Articulation and Transfer Agreements - While there are no program-specific agreements, see other types of agreements such as guaranteed admission, block transfer, and discounts.

Pathway & Track

Technology and Engineering Pathway: Computers and Networks Track

Curriculum Maps

Curriculum Maps are a tool to provide students with a clear understanding of which courses to take and the order in which to complete them. Curriculum Maps help define a student’s individual path towards graduation, ensuring their time and efforts are not spent on credits that fall outside their program of study.

Each map identifies critical courses that must be completed in order to progress through the program and graduate. Curriculum Maps come complete with helpful hints for students - like recommended course electives and a reminder to apply to graduate.

Select the link(s) below to view the Curriculum Map(s) for this program:

Artificial Intelligence Curriculum Map

Courses Needed for This Program*

General Education Requirements and Electives - 29-30 Credits

General Education Requirements

CMNS 101 - Fundamentals of Communication 3 Credit(s).
CSIT 111 - Fundamentals of Logic and Design 3 Credit(s).
ENGL 101 - College Composition I 3 Credit(s).
MATH 251 - Calculus I 4 Credit(s).
PHIL 240 - Ethics 3 Credit(s).
PSYC 101 - Introduction to Psychology 3 Credit(s).

General Education Electives

Choose courses in each category from the list of approved General Education Courses .

Biological and Physical Sciences (BIOL 110 , CHEM 131 or PHYS 151 recommended) 7-8 Credit(s).
Social and Behavioral Sciences 3 Credit(s).

Program Requirements and Electives - 31 Credits

Program Requirements

CSIT 154 - Database Concepts 4 Credit(s).
CSIT 210 - Introduction to Programming 4 Credit(s).
CSIT 211 - Advanced Programming 4 Credit(s).
CSIT 259 - Introduction to Artificial Intelligence 3 Credit(s).
CSIT 260 - Introduction to Machine Learning 3 Credit(s).
CSIT 261 - Foundations of Natural Language Processing and Information Retrieval 3 Credit(s).
CSIT 265 - CSIT Capstone 3 Credit(s).
ENGL 102 - College Composition II 3 Credit(s).
MATH 153 - Introduction to Statistical Methods 4 Credit(s).

Total Number of Credits Required for Degree: 60-61*

Note

*Credit students who are new to college (no successfully completed transferable college credits from other institutions) are required to take ACDV 101 - Academic Development 101 . This 1-credit course is designed to be taken in the first semester at CCBC. Students must provide an official transcript(s) from an accredited institution to document successful completion of college coursework for the ACDV 101 requirement to be waived.

Program Description

Program Outcomes

Upon successful completion of this degree, students will be able to:

Identify appropriate transfer and career paths within the field of Artificial Intelligence.
Design Artificial Intelligence-based solutions that reflect foundational knowledge of programming, machine learning and natural language processing.
Implement solutions that utilize artificial intelligence to address complex problems in various fields, drawing upon foundational knowledge and techniques in the discipline.
Research real-world challenges that can be responded to using Artificial Intelligence.
Evaluate ethical implications in the development and deployment of Artificial Intelligence technologies.