Academic Journal
A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline
| Τίτλος: | A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline |
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| Γλώσσα: | English |
| Συγγραφείς: | Abdur R. Shahid, Sushma Mishra |
| Πηγή: | Journal of Information Systems Education. 2024 35(4):495-511. |
| Διαθεσιμότητα: | Journal of Information Systems Education. e-mail: editor@jise.org; Web site: http://www.jise.org |
| Peer Reviewed: | Y |
| Page Count: | 19 |
| Ημερομηνία έκδοσης: | 2024 |
| Τύπος εγγράφου: | 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 |
| Περίληψη: | 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 |
| Σύνδεσμος πρόσβασης: | https://jise.org/Volume35/n4/JISE2024v35n4pp495-511.pdf |
| Αριθμός Καταχώρησης: | EJ1448478 |
| Βάση Δεδομένων: | ERIC |
| ISSN: | 1055-3096 2574-3872 |
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