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Program checklist · Artificial Intelligence Secondary Concentration

Artificial Intelligence Secondary Concentration

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 Secondary Concentration
CIP
30.7104
Total credits (published)
9
Catalog edition
0066
Checklist type
degree-program
Description
This secondary concentration in artificial intelligence is designed to equip M.B.A. students with the knowledge and tools to lead and implement AI-driven transformation across business functions. The curriculum offers a well-rounded blend of technical foundations and ethical considerations. Students have the opportunity to explore deeper technical topics such as large language models (LLMs), agentic AI, and blockchain, or focus on application areas including AI-driven investment analysis, strategic decision-making, and data-driven marketing decisions. Whether pursuing a technical path or applying AI in specific business domains, this concentration will empower future leaders in business, industry, and government to harness the potential of AI in shaping the future of work and innovation.
Identifiers
IPEDS UNITID
191241
CourseShelf checklist
CK_191241_03d71f19
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

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

Choose at least two (2) of the following:

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

Choose one (1) additional course, either from the courses above, or from the list of elective options 2

electives · 0 items

    Electives

    electives · 17 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 724B
      Advanced Machine Learning
      Not resolved to a course
      3
    7. AIGB 724C
      Machine Learning and LLMs
      Not resolved to a course
      3
    8. AIGB 7263
      Blockchain: Industry Disruptor and Creator
      Not resolved to a course
      3
    9. AIGB 7290
      Deep Learning
      Not resolved to a course
      3
    10. AIGB 7291
      Cloud Computing for Analytics
      Not resolved to a course
      3
    11. AIGB 7292
      NLP and Applications
      Not resolved to a course
      3
    12. AIGB 7293
      Data Visualization
      Not resolved to a course
      3
    13. AIGB 7294
      Large Language Models and Generative AI
      Not resolved to a course
      3
    14. AIGB 7295
      Robotic Process Automation
      Not resolved to a course
      3
    15. AIGB 7297
      Data Management with SQL
      Not resolved to a course
      3
    16. MKGB 7760
      AI and Emerging Marketing Technologies
      Not resolved to a course
      3
    17. MKGB 7792
      New Product Development
      Not resolved to a course
      3
    Source. Fordham University, catalog 0066 — https://bulletin.fordham.edu/gabelli-graduate/mba/concentrations/artificial-intelligence/. Captured page pages/0066.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.