MIS - Management Information Systems

Management Information Systems: MIS

Lower-Division Courses

MIS X01. Introduction to Information Technology Management.

Explores how information technology helps to achieve competitive advantage and improve decision making, business processes, operations, and organizational design. Uses a cross-functional perspective to recognize the role of technology across business activities of management, finance, marketing, human resources, and operations.

MIS X01H. Introduction to Information Technology Management: Honors.

MIS X02F. Foundations of Information Technology Management.

MIS X04. Introduction to Problem Solving and Programming.

Programming skills for creating easy-to-maintain systems for business applications. Object-oriented and structured methodologies with Python.

MIS X10. Introduction to Management Information Systems.

Basic computer terminology, hardware and software, communications technology, graphics, systems analysis and design, and issues arising out of the rapidly evolving field of information systems. Students are expected to achieve a working knowledge of personal computer software, including operating system software and environments, as well as spreadsheets, analytical graphics, databases, and presentation software. Hands-on experience with the Internet and use of electronic mail.

MIS X19S. Topics in Management Information Systems.

This course is used to record credit the student earns while enrolled at another institution in a program administered by the University's Study Abroad Office. Credit is recorded as assigned by the study abroad adviser in the Department of Information, Risk, and Operations Management. University credit is awarded for work in an exchange program; it may be counted as coursework taken in residence. Transfer credit is awarded for work in an affiliated studies program.

Upper-Division Courses

MIS X25. Database Management.

Beginning and intermediate topics in data modeling for relational database management systems.

MIS X29S. Topics in Management Information Systems.

MIS X32F. Topics in Foundations of Management Information Systems.

MIS X33K. Web Application Development.

Concepts and practices of information systems. Advanced programming techniques used to generate menu-driven applications.

MIS X40S. Topics in Management Information Systems.

This course is used to record credit the student earns while enrolled at another institution in a program administered by the University's Study Abroad Office or the school's BBA Exchange Programs. Credit is recorded as assigned by the study abroad adviser in the Department of Information, Risk, and Operations Management. University credit is awarded for work in an exchange program; it may be counted as coursework taken in residence.

MIS X66P. Management Information Systems Practicum.

Students apply skills in their major area and focus on additional project management skills through group projects conducted in a professional setting. Students may work with a private or a public enterprise.

MIS X71T. Topics in Management Information Systems.

MIS X72T. Topics in Management Information Systems.

MIS X72T.1. Open Innovation.

MIS X72T.11. Advanced Analytics Programming.

Focus on data analysis using the Python programming language. Explore machine learning tasks such as classification and clustering.

MIS X72T.12. Information Technology for Supply Chains.

Learn how information technology is used to coordinate supply chain activities across different industries.

MIS X72T.17. Health Care Analytics.

Explore key management challenges and how data may be leveraged to guide decisions and improve operations, with the unifying theme of providing health care services in a manner that leads to lower cost and higher quality.

MIS X72T.2. IT Audit and Security.

MIS X72T.22. Predictive Analytics and Data Mining.

Introduction to data mining problems and tools to enhance managerial decision making at all levels of the organization. Discuss scenarios, including the use of data mining to support customer relationship management (CRM) decisions, decisions in the entertainment industry, financial trading, and even professional sports teams.

MIS X72T.23. Social Media Analytics.

Introduction to social network analysis for business value using statistical optimization and decision theory. Analyze online search and conversation data for market sensing, sentiments, product quality, reputation, recommendations, and brand awareness.

MIS X72T.24. Data-Driven Revenue Management.

Use data-driven tactics and strategies to predict consumer demand and optimize price and capacity/inventory availability to maximize revenue or profit. Explore demand analytics and revenue management techniques, produce rigorous and practical insights, and develop data analysis and optimization skills, based on business cases, datasets, and exercises. Examine diverse contexts and industries, such as conventional retailing, e-commerce, airline/hotel, and contemporary platform and cloud services (e.g., Uber, Dropbox, Netflix, AWS), by utilizing software (Excel, R, or Python) to build models, conduct optimization, and develop insights for a variety of revenue management examples.

MIS X72T.25. User Generated Content Analytics.

Focus on a gamut of questions ranging from strategic to operational matters pertaining to a firm's social media initiatives, metrics to capture relevant outcomes, and predictive analysis to link social media chatter to business performance.

MIS X72T.3. Fundamentals of Health IT.

MIS X72T.4. Mobile Apps and Web Services.

Explore mobile and web services technology models and architectures.

MIS X72T.9. Enterprise Computing.

MIS X74. Business System Development.

Provides foundation in business system analysis, project management, planning, design, and implementation using basic business knowledge and computer skills.

MIS X75. Strategic Information Technology Management.

Designed to develop an understanding and appreciation for the role of information technology in the context of a firm's strategy. Explores the impact of information technology on the economy and business performance, the emergence of electronic business applications and organizational and market transformation, and the nature of technology-driven business models and strategies.

MIS X79. Independent Research in Management Information Systems.

Graduate Courses

MIS X80. Topics in Seminar in Organizational Communication.

Selected topics in organizational communication, written and oral.

MIS X80.1. Research Methodology in Business and Organizational Communication.

MIS X80.2. Projects, Proposals, and Presentations.

Communicating effectively in business using advanced writing and presentation concepts and techniques to increase individual and team effectiveness.

MIS X80.3. Advanced Report Writing, Professional Reports, and Other Scholarly Papers.

MIS X80D. Database Management.

Explore designing, building, and implementing a relational database to improve company operations and reporting. Examine how databases affect analytics and app development.

MIS X80N. Topics in Information Management.

MIS X80N.2. Managing Information.

Understanding, designing, and controlling the information processing activities of an organization. Complements Business Administration 380C by focusing on information systems rather than information technology. Includes business intelligence, knowledge management, data modeling, group decision support systems, and electronic commerce.

MIS X80N.3. Business Process Excellence.

Emerging technology, data and process modeling (flow focus for integrated applications), reengineering, and change management.

MIS X80N.4. Digital Economy and Commerce.

MIS X80P. Problem Solving and Programming.

Explore programming skills for creating easy-to-maintain systems for business applications. Examine object-oriented and structured methodologies with Python.

MIS X81N. Topics in Information Systems.

Selected topics in information technology and management of information systems development.

MIS X81N.1. Introduction to Data Management.

MIS X81N.10. Change Management Practicum II.

Project-oriented course focusing on implementation of organizational change.

MIS X81N.11. Research in Information Technology.

MIS X81N.12. Advanced Information Systems Readings.

MIS X81N.13. Advanced Data Communications.

MIS X81N.14. Global Information Technology Management.

MIS X81N.15. Introduction to Electronic Commerce.

MIS X81N.16. Information Systems Projects.

MIS X81N.17. Client/Server Development.

MIS X81N.18. Innovation, Technology, and Commercialization.

MIS X81N.19. Technology Transfer: Theory and Practice.

MIS X81N.2. Research in Information Systems: Organizational and Behavioral Perspectives.

MIS X81N.20. Cross-Cultural Issues in Information Systems.

MIS X81N.21. Seminar in Multimedia Systems.

MIS X81N.22. Information Technology Strategy and Services.

MIS X81N.23. E-Business: Strategy and Policy.

The responsibilities of the strategist for choosing, developing, and managing an overall e-business firm strategy in uncertain market, technology, and policy environments.

MIS X81N.24. Global E-Business: Theory and Cases.

Analysis of case studies, incorporating Oracle and other Web-based distributed computing solutions.

MIS X81N.25. E-Security and E-Forensic Frameworks.

Discussion and hands-on use of current Web and distributed computing security software and e-forensic solutions.

MIS X81N.26. Research Methods in Information Systems.

Overview of research methods used to study information systems problems. Fundamental concepts and criteria for use with and evaluation of quantitative and qualitative, positivist and interpretive research methods. Current state-of-the-art applications.

MIS X81N.27. Strategies for Networked Economy.

Analyzes the competitive dynamics of platform-mediated networks; explores innovations like cloud computing in supporting network-based competition, the implications of information technology-enabled global sourcing, and business intelligence for business value and competitive advantage; and discusses the role of information technology in business transformation and making a case for information technology investments.

MIS X81N.28. Data Management.

Explore general database concepts such as E-R modeling, relational database design, and advanced SQL. Design and develop mission-critical web-based business applications using databases. Explore data warehouse design and advanced analytics functions within SQL.

MIS X81N.29. Digital Strategies for Enterprise Transformation.

Analyze the competitive dynamics of platform-mediated business models; explore innovations such as cloud computing and Internet of things in supporting platform-based competition; study the implications of information technology-enabled disruption; understand applications of artificial intelligence and machine learning to develop competitive advantage; and discuss the role of information technology in business transformation.

MIS X81N.3. Strategic Analysis for High-Tech Industries.

MIS X81N.30. Privacy Preserving Analytics.

MIS X81N.31. Artificial Intelligence and Machine Learning for Managers.

Discuss artificial intelligence (AI) and machine learning (ML) through a review of AI and ML concepts, tools, and the complete AI/ML lifecycle in the context of tackling business and organizational challenges.

MIS X81N.32. Artificial Intelligence Strategies for Digital Transformation.

MIS X81N.33. Artificial Intelligence in Business and Society.

MIS X81N.34. Artificial Intelligence in Healthcare.

MIS X81N.35. Modern Data Management.

Explore modern data management practices, with a strong focus on design and implementation of scalable, cloud-native data systems. Learn to manage diverse data types--structured, semi-structured, and unstructured--across their full lifecycle. Examine the role of cloud infrastructure in enabling agile, secure, and scalable data solutions.

MIS X81N.4. Decision Support Systems.

MIS X81N.5. Information Systems Design and Implementation.

MIS X81N.6. Research Seminar.

MIS X81N.7. Information and Knowledge Management.

MIS X81N.8. Managing Disruptive Innovations.

Focuses on the management of disruptive technologies, including analyzing whether an emerging technology is sustaining or disruptive, identifying new markets for disruptive technologies, justifying investments in disruptive technologies, implementing disruptive technologies, and appropriating value from them.

MIS X81N.9. Change Management Practicum I.

Project-oriented course focusing on design of organizational change.

MIS X82N. Topics in Information Management.

MIS X82N.1. Managing Financial Information.

Data modeling and information management for investment analysis and financial systems.

MIS X82N.10. Data Mining for Marketing.

MIS X82N.11. Business Intelligence Capstone.

Explores foundations of business analytics related to database management, data analysis techniques, and business decision making to solve a business problem of a client.

MIS X82N.12. Social Media Analytics.

An introduction to social network analysis for business value using statistical optimization and decision theory, including the foundation for analyzing online search and conversation data for market sensing, sentiments, product quality, reputation, recommendations, and brand awareness.

MIS X82N.13. Predictive Analytics and Data Mining.

MIS X82N.14. Business Data Science.

An introduction to basic concepts, methodology, algorithms, and technology used in business analytics and decision making. Explore concepts from probabilistic modeling, analysis and experimental design. Examine the basics of modern regression and classification, clustering, visualization, dimensionality reduction, A/B Testing and an introduction to deep learning.

MIS X82N.15. Business Analytics Capstone.

MIS X82N.16. Fundamentals of Neural Networks and Machine Learning.

Explore an introduction to fundamental concepts, methodology, algorithms, and technology used in business analytics and decision making covering the most powerful concepts and algorithms from probabilistic modeling, analysis and machine learning.

MIS X82N.18. Digital Health Innovation.

Focus on digital innovation in the healthcare industry that is driven by advances in information technology and artificial intelligence. Learn about different types of IT-enabled innovations that are revolutionizing healthcare delivery, develop technology-enabled strategies to enhance innovation, and evaluate how new types of AI-enabled innovations create value for patients and other stakeholders.

MIS X82N.2. E-Business Change.

MIS X82N.3. E-Business Application Development.

MIS X82N.4. Cross-Functional Systems Integration.

MIS X82N.5. Managing Complexity.

MIS X82N.6. Computer Auditing and Systems Security.

MIS X82N.7. Project Management in Fast-Cycle Environments.

MIS X82N.8. Balanced Scoreboard: An Information Systems Perspective.

Theory and tools that support the design and implementation of balanced scoreboard evaluation systems.

MIS X83M. Supply Chain Management for Executives.

Examine frameworks for understanding how to transform supply chain strategy in the face of pressures from technological, social, and political disruption.

MIS X83N. Topics in Information-Intensive Business Processes.

Topics in management of information in specific industries or application areas.

MIS X83N.1. Health Care Management.

MIS X83N.10. Practicum in Multimedia Systems Development.

MIS X83N.12. E-Business Innovation.

MIS X83N.13. Managing Innovation in a Global Company.

Examines innovation-based business strategies that rely on internal and external sources, processes in different organization forms, and market structures.

MIS X83N.2. Health Services Seminar.

MIS X83N.3. Customer Insights.

MIS X83N.4. Supply Chain Management.

MIS X83N.5. Computer Tools for Investment Science.

MIS X83N.6. Trading-Floor Technology.

MIS X84N. Topics in Business Analytics.

Selected topics in business analytics.

MIS X85. Management Information Systems.

Overview of hardware and software life cycles; in-depth considerations of program design, including experience programming for large-scale computer systems in COBOL, FORTRAN, and/or BASIC.

MIS X85G. Machine Learning and Artificial Intelligence for Executives.

Introduction to artificial intelligence (AI) and machine learning (ML) through a review of AI and ML concepts, tools, and the complete AI/ML lifecycle in the context of tackling business and organizational challenges.

MIS X85N. Topics in Information Technology and Management.

Selected topics in information technology and management.

MIS X85N.1. Big Data and Distributed Programming.

Explore a range of subjects required for developing modern applications that operate over vast data sets that are potentially distributed in nature. Consider alternative technologies and architectures for working with big data, examining the pros and cons of the different approaches.

MIS X85N.10. User Generated Content Analytics.

Generate business and social insights from user-generated content (e.g., text, images, video, etc.) through the use of text analytics, sentiment analysis, visualization techniques, etc.

MIS X85N.11. Advanced Data Mining and Web Analytics.

Examine a variety of data mining and machine learning techniques for descriptive, predictive and prescriptive analytics. Explore approaches to analyzing different types of information from the Web (web structure, content, usage).

MIS X85N.12. Healthcare IT and Analytics.

Design new healthcare solutions using emerging information technologies such as Internet of Things, cognitive computing, artificial intelligence, the cloud, mobile, and 3D and 4D printing.

MIS X85N.13. Emerging Technologies II.

Build a strong business and technical foundation for blockchain. Discuss business inefficiencies that can be addressed by blockchain technology. Examine cryptology and distributed computing that blockchain systems rely on, including an overview of Bitcoin. Explore current research problems, perform programming assignments, lead discussions, and hear presentations from industry and academic researchers.

MIS X85N.14. Programming Blockchain.

Cover the development of the bitcoin protocol from scratch. Explore basic libraries to build the protocol using a step-by-step approach. Examine the primary and secondary aspects of scaling, mining and operating a bitcoin protocol based system.

MIS X85N.15. Unstructured Data Analytics.

Generate business and social insights from user generated content (e.g., text, images, video, etc.) through the use of text analytics, sentiment analysis, visualization techniques, etc.

MIS X85N.16. Math Foundations of Artificial Intelligence.

Explore the mathematical foundations of AI including probability theory and linear algebra, concepts necessary as foundational knowledge for other AI related courses in program.

MIS X85N.17. Advanced Programming and Application Development II.

Learn fundamentals of modern cloud native applications, including how to design, develop, and operate them, as well as distributed programming fundamentals. Examine machine learning design patterns for big data and distributed programming concepts.

MIS X85N.18. Problem Solving Unstructured Data Generative Artificial Intelligence.

Explore how modern enterprises can harness the combined power of GenAI and traditional unstructured data analytics to unlock business value. Learn a broad range of business questions and analytics driven use cases, spanning decision-making, process optimization, and innovation.

MIS X85N.19. Strategic Information Technology and Digital Transformation.

Examine information technology-enabled digital transformation and explore how digitalization impacts firm competition and enables industry transformation. Learn the role of digital business models, how firms can compete in disruptive ecosystems, to think critically about the benefit and challenge of strategic AI implementations and change management in real-world applications.

MIS X85N.2. Emerging Technologies I.

Explore all aspects of the Internet of Things (IoT) product life-cycle. Interface with the devices (sensors/actuators) that collect data and affect the environment. Explore network protocols for communication with these constrained devices. Examine programming of the back-end services that host, manipulate and disseminate the collected data. Study the development of apps that facilitate human interaction with these devices and the analysis of the data they produce. Examine security, privacy and performance considerations specific to IoT.

MIS X85N.20. Risk Governance Artificial Intelligence and Intelligent Automation.

Explore how to govern and control the complex cybersecurity, privacy, and IT risk organizations face in an era increasingly shaped by artificial intelligence (AI) and intelligent automation technologies. Discuss privacy-enhancing technology and ethical decision-making framework that help address the novel challenge posed by intelligent systems.

MIS X85N.21. Artificial Intelligence in the Enterprise.

Explore how to design and deploy artificial-intelligence (AI) capability across the enterprise, including mapping AI solutions to specific business requirements and align them with strategic goals. Learn how to identify, assess, and prepare high-quality data essential for AI success and how to select and scale a suitable model and integrate with existing systems and processes. Examine governance and continuous-improvement practices that keep AI initiative reliable and effective over the long term.

MIS X85N.22. Generative Artificial Intelligence I.

Explore a basic working knowledge of the latest algorithms, business applications and limitations of what data science and AI can accomplish. Learn about attention mechanism and the transformer, image and language embeddings, large language models, multi-modal models, and the important latest idea in reasoning, as well as some of the key emerging issues in security and reliability.

MIS X85N.23. Generative Artificial Intelligence II.

Learn about state-of-art Generative AI (GenAI) models for image, video and language generation and how they are used in a business setting. Explore their architecture and mathematical foundation. Learn about machine learning models for decision-making.

MIS X85N.24. Managing Data Production For Artificial Intelligence.

Explore the emerging discipline of managing data products designed to power GenAI applications. Learn how to curate, package, and deliver reusable datasets and APIs optimized for retrieval-augmented generation, synthetic data generation, and LLM prompt engineering. Examine fitness for use, economic value, and continuous improvement of data assets.

MIS X85N.25. Data Governance and Responsible Artificial Intelligence.

Apply data governance framework to ensure the integrity, transparency, and fairness of GenAI system. Learn how to embed observability into AI workflows--tracking provenance, bias, quality metrics, and access rights across the AI lifecycle. Connect the socio-technical principles of data governance with the operational reality of GenAI to implement trust-by-design practices within enterprise AI programs.

MIS X85N.26. Human Dimensions Of Cybersecurity.

Examine emerging security and privacy vulnerability in AI systems, with a focus on human manipulation vectors: prompt injection, phishing via AI-generated content, identity spoofing, and malicious feedback loops. Learn how adversaries exploit both model behavior and user trust, and how to counteract the risk through red teaming, user training, behavior-aware safeguards, and ethical AI design. Evaluate human-AI interaction security and apply layered defense that reinforce public trust in AI systems.

MIS X85N.27. Technical Foundation Artificial Intelligence Driven Cybersecurity.

Investigate the technical foundation of cybersecurity, with a particular focus on an emerging threat and challenge at the intersection of cybersecurity and artificial intelligence (AI). Explore how AI functions both as an enabler of a cyberattack and as a vulnerable target, requiring robust security defenses.

MIS X85N.28. Advanced Program and Application Development I.

Learn advanced programming and foundational software engineering concepts essential for developing robust, scalable web applications through practical, hands-on exploration using a traditional approach. Emphasis is on mastering the most popular full-stack framework, while reinforcing critical topics such as source code management, agile methodology, the software development life cycle (SDLC), and common design patterns.

MIS X85N.3. IT Security, Policy, and Compliance.

Explore the prevention and mitigation of data security and privacy risks in newly designed digital artifacts through IT governance, risk, and control frameworks as well as relevant laws, regulations, and industry standards.

MIS X85N.4. IT Capstone.

Develop real-life business and social solutions using emerging information technologies. Engage with industry partners to explore business context for IT Capstone projects.

MIS X85N.5. Cognitive Computing.

An overview of convolutional neural networks, recurrent neural networks and generative adversarial networks. Explore deep learning and artificial neural networks. Applications include computer vision, image and time series modeling as well as computational aspects of deep learning over big datasets. Utilize Python and Tensorflow, among other tools.

MIS X85N.6. Strategic IT and Change Management.

Explore the strategic management of new IT-embedded product and service innovations and their incorporation into the digital business ecosystems of organizations.

MIS X85N.7. IT and Supply Chain Management.

Examine the role of Information Technology in managing Supply Chains. Explore the IT capabilities needed by firms to coordinate their operations, collaborate with business partners and manage uncertainty. Illustrate the role of technologies and tools like ERP platform, ABAP programming, XML, web services, distributed computing and machine learning to improve the performance of supply chains.

MIS X85N.8. Design Methods.

Utilize design tools and methods to understand user needs, frame business opportunities, and design solutions. Examine design from both organizational and technical perspectives. Conduct research with end users, synthesize data, prototype solution ideas, and communicate compelling stories. Undertake design challenges that focus on emerging information technologies, including the internet of things (IoT), cognitive computing, AI, cloud, mobile, and 3D/4D printing.

MIS X85N.9. Advanced Programming and App Development.

Explore various approaches to modern app development, including required advanced programming and software engineering concepts. Explore approaches to app development ranging from native platform programming through programming frameworks that allow cross-platform development, to high-level approaches based on web frameworks.

MIS X91S. Independent Study.

MIS X98. Thesis.

MIS X98R. Master's Report.

Preparation of a report to fulfill the requirement for the master's degree under the report option.