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

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.

Authors

Institutions

Publication Details

Journal
Journal of Information Systems Education
Published
2024-11-01
DOI
https://doi.org/10.62273/eqze3625
Citations
3
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
2.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Abdur R. Shahid, Sushma Mishra
3 citations
Journal of Information Systems Education
Technology and Data Analysis
2.34
article

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

Abdur R. Shahid, Sushma Mishra
article en
3 citations

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.

Journal of Information Systems EducationVol. 35(4)
Southern Illinois University Carbondale (US), Robert Morris University (US)
Sloan School of Management, Massachusetts Institute of Technology
Openalex Percentile: Top 9%
Technology and Data Analysis
2.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.