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Program checklist · B.S. Artificial Intelligence Track

Computer Science, B.S. Artificial Intelligence Track

Siena College · Loudonville, NY

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
B.S. Artificial Intelligence Track
Credential class
ceterms:BachelorDegree
CIP
11.0102
Catalog edition
2026-2027 Undergraduate Catalog, Volume 85
Checklist type
degree-program
Description
Artificial intelligence seeks to create computer systems that mimic tasks that have historically been the province of the human brain, such as visual perception and spatial awareness; physical coordination and balance; language acquisition and comprehension; and decision making. Machine learning systems typically accomplish this by sifting through vast quantities of data to find patterns that they can act upon. The courses in this track provide students with both a theoretical and practical understanding of these systems.
Identifiers
IPEDS UNITID
195474
CourseShelf checklist
CK_195474_a1083e46
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Computer Science Kernel

0 items

    Requirements for the Computer Science Kernel (18 credits)

    6 items
    1. CSIS - 110. Introduction to Computer Science 3 credit(s)
      Not resolved to a course
    2. CSIS - 120. Software Development 4 credit(s)
      Not resolved to a course
    3. CSIS - 210. Data Structures 4 credit(s)
      Not resolved to a course
    4. CSIS - 225. Advanced Programming 3 credit(s)
      Not resolved to a course
    5. CSIS - 385. Design and Analysis of Algorithms 3 credit(s)
      Not resolved to a course
    6. CSIS - 411. Professional Practice in Computer Science 1 credit(s)
      Not resolved to a course

    Auxiliary (12-13 credits)*

    9 items
    1. MATH - 110. Calculus I 4 credit(s) **
      Not resolved to a course
    2. MATH - 120. Calculus II 4 credit(s)
      Not resolved to a course
      or: BAAS - 130. Business Mathematics 3 credit(s) ***
    3. BAAS - 140. Quantitative Business Analytics 3 credit(s)
      Not resolved to a course
    4. BAAS - 200. Business Statistics I 3 credit(s) ****
      Not resolved to a course
    5. MATH - 250. Discrete Structures 4 credit(s)
      Not resolved to a course
    6. * Students planning to complete the Artificial Intelligence, CS Education, or Game Development tracks must take MATH-110 and MATH-120.
      Not resolved to a course
    7. ** Placement into MATH-110 is made based on the results of a test administered by the Mathematics Department, and a Precalculus course may be required prior to taking MATH-110.
      Not resolved to a course
    8. *** BAAS-130 has a prerequisite of BAAS-105, but that prerequisite can be waived by passing a placement exam administered by the School of Business during a semester’s registration period in order to place out of BAAS-105.
      Not resolved to a course
    9. **** BAAS-200 has CSIS-011 or CSIS-010 or CSIS-SSX as one of its prerequisites in order to ensure some experience with spreadsheets before taking the course.
      Not resolved to a course

    Artificial Intelligence Track

    0 items

      Requirements for the Artificial Intelligence Track (15 credits)

      6 items
      1. CSIS - 320. Machine Learning 3 credit(s)
        Not resolved to a course
      2. CSIS - 370. Robotics 3 credit(s)
        Not resolved to a course
      3. CSIS - 371. Information Retrieval 3 credit(s)
        Not resolved to a course
      4. CSIS - 375. Introduction to Artificial Intelligence 3 credit(s)
        Not resolved to a course
      5. SCDV - 480. Internship in Science 1-3 credit(s) OR
        Not resolved to a course
      6. SCDV - 499. Independent Study in Science 0-3 credit(s)
        Not resolved to a course

      Auxiliary (9 credits)

      3 items
      1. DATA - 110. Introduction to Exploratory Data Analysis and Visualization 3 credit(s)
        Not resolved to a course
      2. MATH - 220. Introduction to Data Mathematics 3 credit(s)
        Not resolved to a course
      3. MATH - 230. Linear Algebra 3 credit(s)
        Not resolved to a course
      Source. Siena College, catalog 2026-2027 Undergraduate Catalog, Volume 85 — https://catalog.siena.edu/preview_program.php?catoid=21&poid=3424&returnto=767. Captured page pages/0095.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.