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Program checklist · Minor

Minor in Artificial Intelligence (AI)

North Carolina Central University · Durham, NC

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
Minor
CIP
37.0103
Credits (computed from items)
9
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
199157
CourseShelf checklist
CK_199157_8b088e56
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Part 1: The Required Core (9 Credits)

7 items
  1. AIER 2000
    Introduction to Artificial Intelligence
    As published: “Introduction to Artificial Intelligence (3) ​ or equivalent”
    3
  2. CEMA 2030
    Machine Learning for All
    As published: “Machine Learning for All (3) : A math-accessible way to understand how predictive models are built. (*Prerequisite courses: CEMA 1030 - Exploratory Data Analysis (3) ; CEMA 1520 - Computing Tools for Data Science (3) )”
    3
  3. CIS 2000
    Business Programming I
    As published: “Business Programming I (3)”
    3
  4. CIS TBD#: Data Literacy & AI Tools: A non-technical entry point to using AI software effectively.
    Not resolved to a course
  5. AIER 3100
    Applied AI Tools and Literacy (3 credits) or equivalent: Hands-on use of AI tools for writing, analysis, and creative work.
    Not resolved to a course
  6. AIER 2900
    AI in Society: Ethics, Policy, and Impact
    As published: “AI in Society: Ethics, Policy, and Impact (3) ​ or equivalent”
    3
  7. CIS 2050
    AI for Business and Society
    As published: “AI for Business and Society (3)”
    3

Part 2: Specialization Tracks (Choose 1 Track and 4 courses or 12 credits within the track)

0 items

    Track A: The Public Affairs, Business, and Innovation Pathway

    21 items
    1. AI+X (X=Business, Education, Political Science, Social Work, Criminal Justice, Communications, Psychology, and other related majors) (Choose one course)
      Not resolved to a course
    2. AI in Business and Innovation: How AI is transforming marketing, startups, and management.
      Not resolved to a course
    3. AI for Decision-Making
      Not resolved to a course
    4. AI and Governance: Focusing on law, regulation, and public policy.
      Not resolved to a course
    5. Electives (Choose two courses)
      Not resolved to a course
    6. ​Choose an additional AI+X course in Track A
      Not resolved to a course
    7. CEMA 1030
      Exploratory Data Analysis
      As published: “Exploratory Data Analysis (3) : Learning to interpret trends and “tell stories” with data.”
      3
    8. CEMA 2030
      Machine Learning for All
      As published: “Machine Learning for All (3) *: A math-accessible way to understand how predictive models are built. (*Prerequisite courses: CEMA 1030 - Exploratory Data Analysis (3) ; CEMA 1520 - Computing Tools for Data Science (3) )”
      3
    9. CIS 2000
      Business Programming I
      As published: “Business Programming I (3)”
      3
    10. CIS 2050
      AI for Business and Society
      As published: “AI for Business and Society (3)”
      3
    11. CIS TBD#: Data Literacy & AI Tools: A non-technical entry point to using AI software effectively.
      Not resolved to a course
    12. Philosophy of Artificial Intelligence
      Not resolved to a course
    13. AI and the Future of Work
      Not resolved to a course
    14. AI in Public Policy
      Not resolved to a course
    15. Capstone (Choose one course)
      Not resolved to a course
    16. AIER 4000
      AI in Practice
      Not resolved to a course
      3
    17. Cross-Listed Technical Electives: Option for students to take a deeper technical dive; Students can swap one track course for these if they desire a deeper technical dive:
      Not resolved to a course
    18. CEMA 1520
      Computing Tools for Data Science
      As published: “Computing Tools for Data Science (3)”
      3
    19. CEMA 2050
      Responsible Data Science
      As published: “Responsible Data Science (3) *: Merges ethics with actual data auditing. (*Prerequisite - CEMA 1030 - Exploratory Data Analysis (3) )”
      3
    20. CEMA 2500
      Programming Tools for Statistical Computing
      As published: “Programming Tools for Statistical Computing (3) : For students interested in research.”
      3
    21. COMP 1060
      Introduction to Programming: A Multimedia Approach
      As published: “Introduction to Programming: A Multimedia Approach (3)”
      3

    Track B: Art, Culture, History, and Language Pathway

    19 items
    1. AI+X (X=Art, Music, History, Education, Communications, Language and Literature, and other related majors.)
      Not resolved to a course
    2. AI in the Arts & Humanities: Explores generative AI in music, literature, and visual arts.
      Not resolved to a course
    3. AI and the African Diaspora: A critical look at how AI affects Black communities globally, focusing on bias, representation, and opportunity.
      Not resolved to a course
    4. AI for Art and Design
      Not resolved to a course
    5. Storytelling and Generative AI​
      Not resolved to a course
    6. ​Electives (Choose two courses)
      Not resolved to a course
    7. CEMA 1030
      Exploratory Data Analysis
      As published: “Exploratory Data Analysis (3) : Learning to interpret trends and “tell stories: with data.”
      3
    8. CEMA 2030
      Machine Learning for All
      As published: “Machine Learning for All (3) : A math-accessible way to understand how predictive models are built. (*Prerequisite courses: CEMA 1030 - Exploratory Data Analysis (3) ; CEMA 1520 - Computing Tools for Data Science (3) )”
      3
    9. CIS 2000
      Business Programming I
      As published: “Business Programming I (3)”
      3
    10. CIS 2050
      AI for Business and Society
      As published: “AI for Business and Society (3)”
      3
    11. CIS TBD#: Data Literaqcy & AI Tools: A non-technical entry point to using AI.
      Not resolved to a course
    12. Capstone (Choose one course)
      Not resolved to a course
    13. ​AIER 4000: AI in Practice
      Not resolved to a course
      3
    14. CEMA 2800
      Capstone: Data Science Certificate for Non-Computing Majors
      As published: “Capstone: Data Science Certificate for Non-Computing Majors (3) *(Prerequisite: CEMA 2030 and CEMA 2050 or permission of the certificate coordinator)”
      3
    15. Students can swap one track course for these if they desire a deeper technical dive
      Not resolved to a course
    16. CEMA 1520
      Computing Tools for Data Science
      As published: “Computing Tools for Data Science (3) *(Prerequisite - CEMA 1030 - Exploratory Data Analysis (3) )”
      3
    17. CEMA 2050
      Responsible Data Science
      As published: “Responsible Data Science (3) : Merges ethics with actual data auditing. (Prerequisite - CEMA 1030 - Exploratory Data Analysis (3) )”
      3
    18. CEMA 2500
      Programming Tools for Statistical Computing
      As published: “Programming Tools for Statistical Computing (3) : For students interested in research.”
      3
    19. COMP 1060
      Introduction to Programming: A Multimedia Approach
      As published: “Introduction to Programming: A Multimedia Approach (3)”
      3

    Track C: The STEM and Health Pathway

    23 items
    1. AI+X (X=Biological and Biomedical, Chemistry, Math, Physics, Pharmaceutical Science, Nursing, Public Health, EEGS and related majors.) (Choose one course)
      Not resolved to a course
    2. ​AI in Biological and Biomedical Sciences
      Not resolved to a course
    3. AI in Chemistry
      Not resolved to a course
    4. AI in Math
      Not resolved to a course
    5. AI in Physics
      Not resolved to a course
    6. AI in Pharmaceutical Sciences
      Not resolved to a course
    7. AI in Nursing
      Not resolved to a course
    8. AI in Public Health
      Not resolved to a course
    9. AI in Earth, Environmental, and Geosciences
      Not resolved to a course
    10. Electives (Choose two courses)
      Not resolved to a course
    11. Choose an additional AI+X course in Track C
      Not resolved to a course
    12. COMP 1060
      Introduction to Programming: A Multimedia Approach
      As published: “Introduction to Programming: A Multimedia Approach (3)”
      3
    13. COMP 1520
      Programming: C++
      As published: “Programming: C++ (3)”
      3
    14. CEMA 2050
      Responsible Data Science
      As published: “Responsible Data Science (3)”
      3
    15. CEMA 2500
      Programming Tools for Statistical Computing
      As published: “Programming Tools for Statistical Computing (3)”
      3
    16. GEOG 4820
      Applied Data Science for Geoscience
      As published: “Applied Data Science for Geoscience (3)”
      3
    17. Or other elective approved by the Department Chair [e.g. CEMA 4300 (Introduction to Data Mining), CEMA 4760 (Introduction to Machine Leearning)]
      Not resolved to a course
    18. CIS 2000
      Business Programming I
      As published: “Business Programming I (3)”
      3
    19. CIS TBD#: Data Literacy & AI Tools: A non-technical entry point to using AI
      Not resolved to a course
    20. Capstone (Choose one course)
      Not resolved to a course
    21. AIER 4000
      AI in Practice
      Not resolved to a course
      3
    22. CEMA 4950
      Capstone Design Project* (Prerequisite Senior classification or permission of the department)
      Not resolved to a course
    23. CEMA 2800
      Capstone: Data Science Certificate for Non-Computing Majors
      As published: “Capstone: Data Science Certificate for Non-Computing Majors (3) : Serves as an alternative capstone for those also seeking the Data Science Certificate. (Prerequisite: CEMA 2030 and CEMA 2050 or permission of the certificate coordinator)”
      3
    Source. North Carolina Central University, catalog 2026-2027 — https://nccu.catalog.acalog.com/preview_program.php?catoid=37&poid=7583. Captured page pages/0178.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.