KSAWorks
KSAWorks
Knowledge • Skills • Abilities
Program checklist · Artificial Intelligence in Business (M.S.)

Artificial Intelligence in Business (M.S.)

Fordham University · Bronx, 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 in Business (M.S.)
Credential class
ceterms:MasterDegree
CIP
11.0102
Total credits (published)
30
Catalog edition
0064
Checklist type
degree-program
Description
// Overview Admissions Requirements Tracks The M.S. in artificial intelligence in business (MSAIB) is designed for a diverse group of forward-thinking professionals who range from those interested in being early adopters of AI across business operations within their companies, organizations or consulting practices, to those who seek to gain deeper technical expertise in AI to enhance their already established IT knowledge base. The program emphasizes the integration of real-world applications, leveraging the transformative capacity of AI in augmenting the speed and effectiveness of business roles and functions. Its innovative curriculum has been developed to provide the utmost flexibility in accommodating those who possess a basic understanding of AI, as well as those who have been working with it for years. Ideal candidates for this program are ready to harness the power of AI to greatly enhance business operations through technological advancement-from aspiring financial analysts who seek to refine their expertise with AI capabilities and consultants who need to take on the latest technological challenges for their clients, to members of innovation teams who must keep their companies at the forefront of technological integration and product managers who seek to leverage AI for R&D and/or market strategy. If you aspire to play a leadership role at the intersection of business and technological innovation, the Gabelli School's M.S. in artificial intelligence in business will ready you for the exciting opportunities ahead. Learning Competencies To prepare the student to understand challenges posed by AI and how AI is transforming and revolutionizing business applications and decision-making across many business disciplines. To prepare the student to design, implement, manage, and lead the practical applications of AI inside a business and across businesses. To offer foundational and advanced knowledge in AI to the future leaders of business, industry, and government. CIP Code 11.0102 - Artificial Intelligence. You can use the CIP code to learn more about career paths associated with this field of study and, for international students, possible post-graduation visa extensions. Learn more about CIP codes and other information resources . Python Prerequisite Students must demonstrate competency in Python by one of these four options: Extensive prior academic and professional experience; students in this category will be pre-registered for, and awarded a grade of "P" in, AIGB 6200 Python Proficiency . Passing a waiver exam ( AIGB 6200 Python Proficiency ). Enrolling in a 1-credit Python Bootcamp ( AIGB 6201 ) prior to the first term of enrollment; this course does not count towards program requirements. Enrolling in a 3-credit Programming with Python ( ISGB 7943 ) course during the first term of enrollment; this course does not count towards program requirements. Admissions Requirements Completed online application and submitted video/written essay Professional Resume Academic Transcripts: for international students, the academic transcript must be translated to English for review, a transcript evaluation may be needed later to complete enrollment if the degree has been completed outside of the U.S., U.K., Canada, and/or Australia. English proficiency exam score for applicants who had studied within a country in which English is not the main language. (If invited by the Admissions Committee) Admissions Zoom interview
Identifiers
IPEDS UNITID
191241
CourseShelf checklist
CK_191241_ab3771a6
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Optional Application Materials

0 items

    Foundational Courses

    4 items
    1. AIGB 6205
      Artificial Intelligence
      Not resolved to a course
      3
    2. AIGB 6206
      Machine Learning for Business
      Not resolved to a course
      3
    3. AIGB 6207
      Quantitative Foundations for AI
      Not resolved to a course
      3
    4. AIGB 6208
      Law and Ethics of AI
      Not resolved to a course
      3

    Electives

    Choose 15 credits from the list below; optionally, students can choose their electives from one or more elective tracks. 1 15 · electives · 1 item
    1. Choose 15 credits from the list below; optionally, students can choose their electives from one or more elective tracks. 1
      Not resolved to a course
      15

    Capstone Course

    1 item
    1. AIGB 7299
      Capstone Project
      Not resolved to a course
      3

    Electives

    electives · 25 items
    1. AIGB 7240
      Computational Finance
      Not resolved to a course
      3
    2. AIGB 7241
      Machine Learning for Finance
      Not resolved to a course
      3
    3. AIGB 7242
      Fintech and Disruption in the Finance Industry
      Not resolved to a course
      3
    4. AIGB 7243
      Investment Analysis with Data Visualization and Gen AI
      Not resolved to a course
      3
    5. AIGB 7244
      Artificial Intelligence in Asset Management
      Not resolved to a course
      1.5-3
    6. AIGB 724A
      Econtech: Econ and Data Mining
      Not resolved to a course
      3
    7. AIGB 7260
      Generative AI for Managers
      Not resolved to a course
      3
    8. AIGB 7261
      Judgment and Decision Making
      Not resolved to a course
      3
    9. AIGB 7262
      AI Implementation Strategies
      Not resolved to a course
      3
    10. AIGB 7263
      Blockchain: Industry Disruptor and Creator
      Not resolved to a course
      3
    11. AIGB 7264
      Strategies for Technological Innovation and Change
      Not resolved to a course
      3
    12. AIGB 726A
      AI for Strategic Decision Making
      Not resolved to a course
      3
    13. AIGB 726B
      Navigating AI Disruption: Strategies for Innovation and Change
      Not resolved to a course
      3
    14. AIGB 7290
      Deep Learning
      Not resolved to a course
      3
    15. AIGB 7291
      Cloud Computing for Analytics
      Not resolved to a course
      3
    16. AIGB 7292
      NLP and Applications
      Not resolved to a course
      3
    17. AIGB 7293
      Data Visualization
      Not resolved to a course
      3
    18. AIGB 7294
      Large Language Models and Generative AI
      Not resolved to a course
      3
    19. AIGB 7295
      Robotic Process Automation
      Not resolved to a course
      3
    20. AIGB 7296
      Optimization Models for Business
      Not resolved to a course
      3
    21. AIGB 7297
      Data Management with SQL
      Not resolved to a course
      3
    22. AIGB 729A
      Agentic AI with Copilot
      Not resolved to a course
      3
    23. AIGB 729B
      Web Analytics
      Not resolved to a course
      3
    24. AIGB 729C
      RAG and Context Engineering
      Not resolved to a course
      3
    25. AIGB 729D
      Advanced Python with AI
      Not resolved to a course
      3

    Consulting and Organizational Change Management Track

    7 items
    1. AIGB 7260
      Generative AI for Managers
      Not resolved to a course
      3
    2. AIGB 7261
      Judgment and Decision Making
      Not resolved to a course
      3
    3. AIGB 7262
      AI Implementation Strategies
      Not resolved to a course
      3
    4. AIGB 7263
      Blockchain: Industry Disruptor and Creator
      Not resolved to a course
      3
    5. AIGB 7264
      Strategies for Technological Innovation and Change
      Not resolved to a course
      3
    6. AIGB 726A
      AI for Strategic Decision Making
      Not resolved to a course
      3
    7. AIGB 726B
      Navigating AI Disruption: Strategies for Innovation and Change
      Not resolved to a course
      3

    Finance Industry Track

    6 items
    1. AIGB 7240
      Computational Finance
      Not resolved to a course
      3
    2. AIGB 7241
      Machine Learning for Finance
      Not resolved to a course
      3
    3. AIGB 7242
      Fintech and Disruption in the Finance Industry
      Not resolved to a course
      3
    4. AIGB 7243
      Investment Analysis with Data Visualization and Gen AI
      Not resolved to a course
      3
    5. AIGB 7244
      Artificial Intelligence in Asset Management
      Not resolved to a course
      1.5-3
    6. AIGB 724A
      Econtech: Econ and Data Mining
      Not resolved to a course
      3

    Technical Track

    11 items
    1. AIGB 7290
      Deep Learning
      Not resolved to a course
      3
    2. AIGB 7291
      Cloud Computing for Analytics
      Not resolved to a course
      3
    3. AIGB 7292
      NLP and Applications
      Not resolved to a course
      3
    4. AIGB 7293
      Data Visualization
      Not resolved to a course
      3
    5. AIGB 7294
      Large Language Models and Generative AI
      Not resolved to a course
      3
    6. AIGB 7295
      Robotic Process Automation
      Not resolved to a course
      3
    7. AIGB 7296
      Optimization Models for Business
      Not resolved to a course
      3
    8. AIGB 7297
      Data Management with SQL
      Not resolved to a course
      3
    9. AIGB 729A
      Agentic AI with Copilot
      Not resolved to a course
      3
    10. AIGB 729C
      RAG and Context Engineering
      Not resolved to a course
      3
    11. AIGB 729D
      Advanced Python with AI
      Not resolved to a course
      3
    Source. Fordham University, catalog 0064 — https://bulletin.fordham.edu/gabelli-graduate/ms/artificial-intelligence-in-business/. Captured page pages/0064.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.