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A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline

Bibliographic Details
Title: A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline
Language: English
Authors: Abdur R. Shahid, Sushma Mishra
Source: Journal of Information Systems Education. 2024 35(4):495-511.
Availability: Journal of Information Systems Education. e-mail: editor@jise.org; Web site: http://www.jise.org
Peer Reviewed: Y
Page Count: 19
Publication Date: 2024
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Masters Programs, Information Systems, Computer Science Education, Artificial Intelligence, Computer Software, Graduate Students, Guidelines, Natural Language Processing, Data Analysis, Ethics, Governance, Job Skills, Competency Based Education, Education Work Relationship, Business Schools
ISSN: 1055-3096
2574-3872
Abstract: Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of a comprehensive, technically focused framework for developing a master's program in Applied AI specifically tailored to meet the demands of the Computer and Information Systems (CIS) discipline. This paper addresses this gap by proposing a graduate-level Applied AI program framework for CIS students. This framework comprises an example graduate-level curriculum that focuses on critical competencies in the application of AI, including data analytics, machine learning, natural language processing, computer vision, AI ethics and governance, AI project management, IT infrastructure for AI systems, and AI-driven innovation. By following this framework, institutions can develop customized master's programs that align with the evolving field of AI and prepare CIS graduates to excel in diverse industries.
Abstractor: As Provided
Entry Date: 2024
Access URL: https://jise.org/Volume35/n4/JISE2024v35n4pp495-511.pdf
Accession Number: EJ1448478
Database: ERIC
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  Data: A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline
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  Data: <searchLink fieldCode="AR" term="%22Abdur+R%2E+Shahid%22">Abdur R. Shahid</searchLink><br /><searchLink fieldCode="AR" term="%22Sushma+Mishra%22">Sushma Mishra</searchLink>
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  Data: Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of a comprehensive, technically focused framework for developing a master's program in Applied AI specifically tailored to meet the demands of the Computer and Information Systems (CIS) discipline. This paper addresses this gap by proposing a graduate-level Applied AI program framework for CIS students. This framework comprises an example graduate-level curriculum that focuses on critical competencies in the application of AI, including data analytics, machine learning, natural language processing, computer vision, AI ethics and governance, AI project management, IT infrastructure for AI systems, and AI-driven innovation. By following this framework, institutions can develop customized master's programs that align with the evolving field of AI and prepare CIS graduates to excel in diverse industries.
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
        StartPage: 495
    Subjects:
      – SubjectFull: Masters Programs
        Type: general
      – SubjectFull: Information Systems
        Type: general
      – SubjectFull: Computer Science Education
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Computer Software
        Type: general
      – SubjectFull: Graduate Students
        Type: general
      – SubjectFull: Guidelines
        Type: general
      – SubjectFull: Natural Language Processing
        Type: general
      – SubjectFull: Data Analysis
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Governance
        Type: general
      – SubjectFull: Job Skills
        Type: general
      – SubjectFull: Competency Based Education
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      – SubjectFull: Education Work Relationship
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      – SubjectFull: Business Schools
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      – TitleFull: A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline
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            NameFull: Sushma Mishra
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              Y: 2024
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