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

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Dades bibliogràfiques
Publicat a:	Journal of Information Systems Education vol. 35, no. 4 (Fall 2024), p. 495
Autor principal:	Shahid, Abdur R
Altres autors:	Mishra, Sushma
Publicat:	EDSIG
Matèries:	Software Students Information systems Curricula Computer vision Machine learning Innovations Artificial intelligence Project management Natural language processing Ethics College students Infrastructure Computers Academic disciplines Graduate studies Frame analysis Governance Data processing Competency based learning Information technology Masters degrees Work skills Management Information Systems Business Schools Competence Graduates Experiential Learning Influence of Technology Expertise Educational Technology Innovation Computer Science Decision Making Graduate Study Language Processing Problem Solving Computer Software Lifelong Learning Masters Programs Educational Facilities Improvement
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Descripció
Resum:	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.
ISSN:	1055-3096 2574-3872 1055-3104
DOI:	10.62273/EQZE3625
Font:	ABI/INFORM Global