Management Information Systems (MIS)
Courses
MIS 5507 Business Analytics and AI-Augmented Decision Making Credits: 3
This course provides a foundation in data-driven decision making for business professionals. It introduces essential concepts in data preparation, exploration, statistical analysis, and visualization, highlighting how analytics and artificial intelligence inform and enhance managerial judgment. Students develop analytical reasoning and practical skills to interpret data, generate insights, and communicate findings effectively in organizational contexts.
Prerequisites: Bloch School graduate program student.
MIS 5522 Artificial Intelligence for Business Operations Credits: 3
This course introduces the principles, applications, and implications of advanced artificial intelligence systems that augment organizational analysis, decision-making, and operations. Students examine model capabilities, limitations, and managerial uses across business functions. Topics include data-driven analysis, interaction with AI-based tools, integration into workflows, and issues of governance, ethics, and bias. Through applied projects, students demonstrate how AI can enhance productivity and strategic value while critically evaluating its broader organizational and societal implications.
Prerequisites: MIS 5507 or permission of instructor.
MIS 5552 Data Base Management Credits: 3
Data administration, including theory of relational databases and projects using relational data management packages. The course looks at data modeling and information engineering, entity-relationship modeling, database design, normalization, data dictionaries, distributed databases, database servers, data quality assurance, data integrity, SQL, and may include a number of computer-oriented assignments.
Prerequisites: MIS 5507.
MIS 5557 Intermediate Business Analytics Credits: 3
This course focuses on the life cycle for mining and extracting actionable business insights from data. It covers data preparation, manipulation, and exploration, with particular attention to applying machine learning methods for predicting new cases based on existing data. Additionally, it discusses metrics for assessing the performance of machine learning models. These concepts are taught through practical examples from various business functions.
Prerequisites: MIS 5507, or DSOM 5509, or PUB-ADM 5510, or ACCTNG 5568, or RL-EST 5573, or FIN 5560. Restricted to students admitted to a Bloch School graduate program.
MIS 5559 Data Management for Business Analytics Credits: 3
Students will learn the fundamental skills required to acquire, clean, transform, manipulate, and analyze data in a computing environment that fosters reproducibility. They will also understand the fundamentals of databases and data querying techniques. This course provides an intensive, hands-on introduction to specialized data and programming languages (e.g., SQL) and explores how applied AI-driven solutions can enhance and streamline data management processes while highlighting their broader implications for efficiency and transparency.
Prerequisites: MIS 5507 or DSOM 5509 or PUB-ADM 5510 or ACCTNG 5568 or RL-EST 5573 or FIN 5560.
MIS 5581 Human Resources Analytics Credits: 3
This course equips students to drive critical human resource decisions through the strategic use of data and analytics. Students will work through the full analytics process, from formulating business questions and acquiring data to applying descriptive and predictive analytics, visualization, and statistical testing, as well as designing and implementing employee surveys to gain actionable insights and inform critical HR decisions. Key HR areas explored include recruiting, staffing, compensation, performance management, employee engagement, retention, and data privacy. Students will use tools such as Excel, Tableau, SQL, and AI-based platforms to analyze both qualitative and quantitative data.
MIS 5582 AI and Automation in Business Processes Credits: 3
This course explores the transformative potential of Artificial Intelligence (AI) and automation in optimizing critical business processes. Through a combination of lectures, real-world case studies, and hands-on exercises, students will gain essential skills in using AI and automation to enhance customer experiences and streamline back-office functions. Key focus areas include driving operational efficiency, fostering innovation, and creating competitive advantages. By the end of the course, students will be equipped to apply AI and automation solutions to real-world business challenges effectively.
Prerequisites: MIS 5507
MIS 5585 Business Analytics Capstone Credits: 3
Business analytics is a critical tool for transforming organizations and achieving strategic and operational objectives. In this course, students will learn how to implement and lead critical data and analytic topics including data & analytic resources, partner relationships, data strategy, data products, data governance, data-driven decision making / culture, data literacy, and AI applications and risk mitigation. Students will engage with leaders of data and analytics organizations and work through real-world challenges.
MIS 5587 Special Topics Credits: 3
Special topics in management information systems.
MIS 5595 Internship Credits: 1-3
An opportunity for students to integrate their academic studies through employment with a business or organization in the community.
Prerequisites: Departmental consent required.
MIS 5597 Independent Study Credits: 1-6
Independent study and research in areas of special interest under individual faculty direction.
Prerequisites: Departmental consent required.
MIS 5899 Required Graduate Enrollment Credit: 1