Program checklist · Artificial Intelligence Microcredential

Artificial Intelligence Microcredential

Binghamton University · Vestal, 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: Artificial Intelligence Microcredential
Catalog edition: 2026-2027 Binghamton University Academic Guide
Checklist type: degree-program
Description: The Artificial Intelligence (AI) microcredential program will document a Binghamton University student’s completion of a formally organized suite of courses tailored to AI. The program will formally introduce students to the fundamental theories and methods of AI to a reasonable level, both in breadth and depth. The program offers two required courses as the foundation to AI: CS 565 Introduction to Artificial Intelligence and CS 536 Introduction to Machine Learning. Students who have taken these two required courses shall be equipped with the essential foundation of AI. In addition to these two required courses, students in this program are also required to take two electives out of a wide suite of the courses offered in the MS in Computer Science program related to AI, ranging from specific applications such as using machine learning techniques to address issues in social media to specific areas within AI such as computer vision, natural language processing, and robotics. The intent of the program is not to provide a comprehensive self-contained competency, but rather to provide students with the special attention to AI as a focus area, in the context of the existing MS in Computer Science program or existing professional practice, to help the students become well-prepared for the emerging era of AI.

Identifiers

IPEDS UNITID: 196079
CourseShelf checklist: CK_196079_6f0dd3cd
CollegeTransfer.Net: Institution Transfer Profile
Source: CourseShelf publish 61

Requirements to complete

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

Admission Requirements

0 items

Program Requirements

0 items

Required Courses

2 items

CS 565
Intro to Artificial Intelligen
Not resolved to a course
CS 536
Intro to Machine Learning
Not resolved to a course

Elective Courses

9 items

CS 515
Social Media Data Sci Pipeline
Not resolved to a course
CS 517
Intr to Human Comp Interaction
Not resolved to a course
CS 524
Intelligent Mobile Robotics
Not resolved to a course
CS 535
Introduction To Data Mining
Not resolved to a course
CS 537
Introduction to Deep Learning
Not resolved to a course
CS 555
Intro to Visual Info Processin
Not resolved to a course
CS 556
Intro to Computer Vision
Not resolved to a course
CS 636X
Adv Topics of Machine Learning
Not resolved to a course
CS 580
CS 581, and CS 680 Special Topics courses - Certain approved CS topics courses in an area such as Natural Language Processing.
Not resolved to a course

Source. Binghamton University, catalog 2026-2027 Binghamton University Academic Guide — https://catalog.binghamton.edu/preview_program.php?catoid=7&poid=2214&returnto=313. Captured page pages/0297.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.