Artificial Intelligence Management - Online

The Bachelor of Science in Artificial Intelligence Management is designed to meet both transfer and continuing education needs for students, preparing them for a wide range of careers in the emerging field of AI. This program builds a foundation of both managerial and technical skills by combining business and computer science to understand, develop and manage AI applications. In particular, the program builds technical skills in machine learning and management, enabling the student to apply those skills in areas such as marketing, finance, supply chain, and other business functions. In addition, with courses on ethics and the societal implications of AI, the program reflects perspectives that are both diverse and international. The program is ideal for students with backgrounds in computer science and interested in learning more about the application of AI in business, and for students with backgrounds in business and interested in learning more about the technical aspects of AI.

Typical Employment opportunities:

  • Computer Science
  • Marketing
  • Finance
  • General Management
  • Supply Chain Management
  • Customer Relations
  • Global Business
  • Production, Supply Chain Management, and Logistics

Career Objectives:

The program is designed to:

  • Enable graduates without prior related work experience to obtain entry-level positions in AI Management in a wide range of industry sectors and functions such as healthcare, finance, marketing, transportation, insurance, transport and logistics, and customer service.
  • Enable graduates with prior managerial experience to obtain technical skills in programming and machine learning to transition to work in AI management.
  • Enable graduates with prior technical experience in AI to gain managerial skills and business knowledge to transition to work in AI management.
  • Enable working adults from a wide geographic area to advance their careers in AI Management or change into AI Management careers after graduation.

Program Outcomes:

  • Explain AI theories, techniques, and applications in organizations.
  • Utilize machine-learning techniques for data analysis and decision making in organizations.
  • Design basic AI systems that perceive, act, and learn in a variety of challenging environments, with an understanding of Human-Computer interactions.
  • Communicate complex problems and AI solutions to wide audiences in an organization.
  • Examine the design and use of AI, with an awareness of theoretical, practical, and social implications, while applying appropriate ethical standards.


Admission to Farmingdale State College - State University of New York is based on the qualifications of the applicant without regard to age, sex, marital or military status, race, color, creed, religion, national origin, disability or sexual orientation.

Contact Information


Dr. Nanda Viswanathan
School of Business, Room 329
Monday-Friday 8:30am-5:00pm

Fall 2024

Subject to revision

Liberal Arts and Sciences (24 credits)
EGL 102 Composition II: Writing About Literature 3
100 level or higher electives 12
300 level or higher electives 9

Required Courses (36 credits)
AIM 301 Artificial Intelligence (AI) in Marketing 3
AIM 310 AI in Finance 3
AIM 350 Programming for AI 3
AIM 360 Algorithms for AI 3
AIM 370 Artificial Intelligence and Machine Learning I 3
AIM 410 Analytical Techniques for Decision Making in AI 3
AIM 420 Supply Chain, Operations, and AI 3
AIM 460 Artificial Intelligence and Machine Learning II 3
AIM 490 Capstone Project 3
BUS 440 Visual Analytics 3
STS 380 Ethics, Human Society, and AI 3
STS 420 Emerging Trends in AI 3

Transfer Credits
General Education 30
Free Electives 30
Total Credits 60

Curriculum Summary

Degree Type: BS
Total Required Credits: 120

Please refer to the General Education, Applied Learning, and Writing Intensive requirement sections of the College Catalog and consult with your advisor to ensure that graduation requirements are satisfied.

As a part of the SUNY General Education Framework, students at Farmingdale State College (FSC) are required to develop knowledge and skills in Diversity: Equity, Inclusion, and Social Justice (DEISJ). Students will be able to fulfill this requirement at FSC by taking a specially designated DEISJ course that has been developed by faculty and approved by the DEISJ Review Board. DEISJ-approved courses will be developed in accordance with the guiding principles and criteria outlined below. DEISJ-approved courses may meet other General Education Knowledge and Skills areas and/or core competencies and thus be dually designated. DEISJ-approved courses may also earn other special designations such as those for Applied Learning or Writing Intensive.

Artificial Intelligence Management Admission Requirements:

Minimum Required Transfer Credits (60) to include 30 general education credits that meet the SUNY General Education framework as displayed in the College Catalog, including EGL 101 Composition I: College Writing, and MTH 116 College Algebra or the equivalent.

Recommended: An Associate Degree in Business, Computer Science, or a related field with 12 credits of coursework in Business and/or Computer Science; Business Statistics or equivalent; and a transfer GPA of 2.50.

Students who are admitted with fewer than 12 credits of coursework in Business and/or Computer Science may be required to take up to four, 1-credit courses prior to starting the program.


EGL 102 Composition II: Writing About Literature

This is the second part of the required introductory English composition sequence. This course builds on writing skills developed in EGL 101, specifically the ability to write analytical and persuasive essays and to use research materials correctly and effectively. Students read selections from different literary genres (poetry, drama, and narrative fiction). Selections from the literature provide the basis for analytical and critical essays that explore the ways writers use works of the imagination to explore human experience. Grade of C or higher is a graduation requirement. Prerequisite(s): EGL 101

BUS 440 Visual Analytics

This course focuses on the visualization techniques used to represent Business Information. The course enables students to answer three questions: What data do the final users need to see? What is the most effective way to develop and design the representation of data? How could the proposed visual representation be constructed? Topics covered include information visualization techniques for abstract data, visualization for spatial data, and visual analytical techniques applied to data transformation and visual exploration. This course is hands-on work intensive and helps develop skills in the use of modern visualization tools. Prerequisite(s): EGL 101 and BUS 340 with a grade of C or higher

STS 380 Ethics, Human Society, & Artificial Intelligence

The widespread use of systems powered by artificial intelligence (e.g. facial recognition, self-driving cars, large language models, etc.) has exploded over the last decade and will continue to proliferate over the next decade to nearly all sectors of society. It can be argued that the usefulness of such systems and the confidence we place in their output is directly linked to their ability to make decisions and reach conclusions that align to our values and ethics. This course will focus on ethical pitfalls present and anticipated in the burgeoning ecosystem of artificial intelligence, including: algorithmic bias, epistemological opacity, perils of reinforcement learning, violations of privacy, exploitation of surveillance products, automation and its impact on labor, environmental sustainability, and the accountability of autonomous systems. Students will analyze potential solutions to ethical quandaries of Al and evaluate proposed methods for reliable governance of Al systems. In addition to viewing Al and machine/deep learning systems as objects for our use, the course will explore the notion of Al as subjects, with consideration made to future moral status and the rights and responsibilities accompanying such an attribution. Prerequisite(s): AIM 350

STS 420 Emerging Trends in Artificial Intelligence

Artificial intelligence is changing the way the world works. Industries as diverse as business, finance, marketing, manufacturing, medicine, engineering, law, the physical sciences, the arts, and the entertainment industry have begun to harness the tools and techniques of artificial intelligence, machine learning, deep learning, and reinforcement learning to transform the way we see, interact, and understand our world. This course offers a conceptual understanding of emerging Al technologies and how such techniques are applied in these and other fields of study. Al is a rapidly changing field, and this course will rapidly adapt to discuss emerging trends and applications as they develop. Prerequisite(s): AIM 350

Last Modified 4/2/24