Assistant Professor, Information Systems

Morgan State University
United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$75,000.0
Working hours
Regular working hours

Tech stack

Cyber Security Information Systems Computer Networks Computer Literacy Data Visualization Information Sciences SAP (Applications) Information Technology Data Analytics

Job description

The Earl G Graves School of Business and Management at Morgan State University seeks to fill a tenure-track position in the Department of Information Science and Systems at Assistant level with specialization in Data Analytics applied in the business domain, beginning in August 2026. The faculty will serve as a member of the newly formed Center for Data Analytics and Sports Gaming Research (CDASGR) with 50% responsibilities to the Center and 50% to the Department. Along with other faculty responsibilities, the faculty is expected to teach 2 courses per semester during the initial two years and based on productivity, continue with that teaching load. The Center aims to study and support research into emerging technological, socio-behavioral, and attitudes towards eSports, sports wagering, problem gambling and business development trends to inform esports and gaming public policy and regulation. A startup package will be provided to the faculty., This faculty position will serve the mission of Morgan State University and the Earl G Graves School of Business and Management through the activities of teaching, intellectual contributions and service. The person holding this position will be responsible for developing and teaching online and face-to-face undergraduate and graduate level courses in data analytics, information systems and/or project management. The candidate will conduct research and write and obtain grants in Data Analytics/Data Science/Sports Gaming/Information Systems leading to publishing in refereed journals and presenting the research in local and national conferences and serve as a member of professional organizations. The faculty will share their expertise in local seminars and conferences to meet the mission of the Center. The candidate will participate in Department, School and University committees. Teaching assignments will include courses in our Masters program in Data Analytics and Visualization, doctoral and undergraduate courses in Data Visualization, Data Analytics, and depending on background and qualifications, may include courses in computer literacy, management information systems, computer networks, cybersecurity, systems analysis and design, project management, supply chain management, and enterprise information systems (SAP). As a member of the CDASGR Center faculty, engagement in multidisciplinary work with faculty with very diverse backgrounds is anticipated.

Requirements

Morgan State University is Maryland’s preeminent public urban research university, known for its excellence in teaching, intensive research, effective public service and community engagement. MSU has a R2 Carnegie Research designation, with a strategic aspiration to achieve a R1 Carnegie research designation by 2030. The AACSB accredited Earl G Graves School of Business and Management offers Bachelor, Master and Doctoral degrees. The school offers undergraduate programs, masters programs and doctoral programs with specialization in Information Systems, Accounting, Marketing, Finance, Business Administration. The Department of Information Science and Systems offers BS in Supply Chain Management, BS in Information Systems, MS in Project Management, a Post-Baccalaureate certificate in Project Management and offers courses that lead to an MBA degree as well as a PhD degree with an Information Systems concentration. Upcoming programs include MS in Data Analytics and Visualization, BS in Cybersecurity Intelligence Management, and PhD in Supply Chain and Logistics Management.

Knowledge, Skills, Abilities & Other Characteristics

The candidate must be very conversant with Data Analytics and Visualization tools and processes., The successful candidate will have an earned doctorate (by August 2026) in Management Information Systems, Information Technology, Management Science, Decision Sciences, Operations Research, or related disciplines with research experience in supporting data analytics at the enterprise and systems level. The candidate should have a demonstrated record of quality research and the potential for excellence in teaching. Prior work experiences that use related skills are desirable, though not necessary.

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