Program Overview

University of Illinois Chicago: Supply Chain and Operations Management Program

The University of Illinois Chicago offers a comprehensive program in Supply Chain and Operations Management, designed to equip students with foundational knowledge in supply chain and operations functional areas. The program covers various aspects, including logistics, transportation, forecasting, warehouse and distribution management, production, quality, risk, and decision analysis.

Program Overview

• The MS in Supply Chain and Operations Management provides students with a deep understanding of supply chain and operations strategies within a global context.
• The program focuses on the use of analytical modeling techniques with data analysis and business intelligence.
• It also emphasizes leadership skills, such as project and supplier management.

Admission and Degree Requirements

• MS in Supply Chain and Operations Management: This degree program requires students to complete a set of core courses and electives, focusing on supply chain and operations management.
• MS in Supply Chain and Operations Management/MBA: This dual degree program combines the MS in Supply Chain and Operations Management with an MBA, providing students with a comprehensive understanding of business administration and supply chain management.

Course Offerings

The program includes a wide range of courses, such as:

• IDS 400: Programming for Data Science in Business: Aims to provide students with the knowledge and skills for designing and developing data science applications in various business areas.
• IDS 401: Business Object Programming using Java: Covers basic concepts in object-oriented programming.
• IDS 403: Information Security: Examines the field of information security to prepare students for their future roles as business decision-makers.
• IDS 405: Business Systems Analysis and Design: Theory of analysis, design, and development of information systems.
• IDS 406: IDS Consulting Practicum: Students interact with businesses or non-profit organizations to design and develop technology, business, and analytics-related solutions.
• IDS 410: Business Database Technology: Computer software techniques used in business with emphasis on information management and database management systems.
• IDS 412: Distributed Business Systems: Organizational aspects and underlying concepts of distributed business systems.
• IDS 413: Internet Technology and Management: The technologies of World Wide Web development.
• IDS 420: Business Model Simulation: Simulation analysis of strategic business decision models.
• IDS 422: Text Mining for Business Applications: Text mining for business applications.
• IDS 435: Optimization for Analytics: Optimization methods for machine learning and data science applications in business.
• IDS 437: Stochastic Methods: Stochastic processes and other applications of probability theory.
• IDS 446: Decision Analysis: Prior and posterior distributions; conjugate priors; value of information; applications to decision making in business.
• IDS 450: Supply Chain Planning and Logistics: Covers concepts in designing, analyzing, improving, measuring, and controlling logistics operations in modern supply chains.
• IDS 451: Enterprise Operations and Supply Chain Systems: Provides an overview of how enterprise business systems operate and are used to manage operations and supply chains.
• IDS 452: Sustainability in Supply Chain Management and Operations: A holistic view of sustainable supply chain operations.
• IDS 453: Supply Chain Management: Sourcing and Procurement: The course materials focus on the fundamental tools, processes, and techniques in sourcing and procurement strategies.
• IDS 454: Introduction to Supply Chain Management: Supply Chain Management is studied as an information-intensive, integrated system for managing material flows, logistics, and inter-organizational partnership to deliver products and services.
• IDS 455: Data-Driven Decisions for Sustainable Business: Leverages an evidence and data-driven approach to convert sustainability goals into decisions.
• IDS 457: Foundations of Sustainable Business: Introduction to sustainable business foundations.
• IDS 460: Causal Inference: Conceptual foundations and methods for causal inference.
• IDS 462: Statistical Software for Business Applications: Hands-on experience with statistical software commonly used in industry.
• IDS 470: Multivariate Analysis: Introduction to the structure and analysis of multivariate data.
• IDS 472: Business Data Mining: Data mining for business insights and decisions.
• IDS 473: Risk Management and Insurance: Introduction to risk management.
• IDS 474: Quality and Productivity Improvement Using Statistical Methods: Directed experimentation for quality and productivity improvement.
• IDS 475: Database Accounting Systems: Concepts and principles of designing database systems to perform accounting functions.
• IDS 476: Business Forecasting Using Time Series Methods: Autoregressive, moving average, and seasonal models for time series analysis and business forecasting.
• IDS 478: Regression Analysis: Data collection and exploration; model building; variable least squares; residual analysis; variable selection; multicollinearity; ridge regression; nonlinear regression; nonparametric regression.
• IDS 479: Enterprise Risk Management: Overview of enterprise-wide risk management strategies and techniques.
• IDS 494: Topics in Information and Decision Sciences: Topics vary; selected readings; case analysis.
• IDS 495: Competitive Strategy: Multidisciplinary analysis of organizational strategy and policy using case method and/or business simulation.
• IDS 499: Research Experience: Research experience under the supervision of a faculty member.
• IDS 500: Information Systems in Organizations: Use of information technology in business; planning, management, and strategic use of information technology.
• IDS 504: Introduction to Electronic Commerce: Addresses issues on electronic commerce for businesses and consumers.
• IDS 505: Business Information Systems Analysis and Design: Analysis, design, and development of information systems.
• IDS 506: Health Information Management and Analytics: Technologies, applications, and use of information systems in healthcare.
• IDS 507: Advanced Systems Analysis and Design Project: Principles and concepts of analysis, design, and development of information systems.
• IDS 508: E-Commerce Project: Electronic commerce project initiated by local small and medium enterprises.
• IDS 509: Foundations of Analytics and AI for Supply Chain and Operations Management: Covers analytics and artificial intelligence (AI) for decision-making in supply chain and operations.
• IDS 510: Organizational Data Resources: Data as a competitive resource.
• IDS 511: Query Processing in Database Systems: Query processing in deductive databases and in distributed/parallel databases systems.
• IDS 512: Information Systems Project & Program Management: Theory and practice of managing IS projects based on a life-cycle management model.
• IDS 513: Enterprise Components and Web Services: Exposes students to advances in the technical aspects of electronic business.
• IDS 514: Management of Information Systems: Administration, control, and management of computer-based information systems.
• IDS 515: Information Systems Strategy and Policy: Examines how businesses can leverage IT and digital technologies to maximize business performance.
• IDS 516: Data Analytics for Business Professionals: Hands-on introduction to how data analytics and machine learning drive value in industry.
• IDS 517: Enterprise Application Development: The course explores the choices available for building an enterprise application.
• IDS 518: Electronic Marketing: Overview of the electronic marketing value chain.
• IDS 519: Topics in Information Systems: Selected topics in information systems, information management, and information technology.
• IDS 520: Enterprise Information Infrastructure Planning & Security: This course introduces students to methods and practices involved in the planning, design, and security of information infrastructure.
• IDS 521: Advanced Database Management: Data analysis for database design; logical data modeling, transaction modeling; implementation models; physical database design.
• IDS 523: Audit and Control of Information Systems: Modeling and analysis of information systems application in organizations.
• IDS 524: Strategic Emergency Management and Continuity Planning: Introduction to frameworks and methods for designing, developing, implementing, and evaluating emergency management and business continuity strategies.
• IDS 526: Computer Performance Evaluation and Modeling: Probabilistic, simulation, and statistical techniques for modeling computer systems.
• IDS 529: Seminar on Management Information Systems: Special research topics in management information systems.
• IDS 532: Introduction to Operations Management: The management of operations for the production and delivery of goods and services.
• IDS 534: Project Management: Teaches the fundamental principles of project management.
• IDS 535: Vendor Management: Covers fundamentals of vendor management, including procurement process, vendor selection, contracts, relationship management, and governance.
• IDS 540: Marketing Analytics: Introduces concepts, data analysis techniques, and software tools for making key marketing decisions.
• IDS 541: Disaster Response and Recovery Operations: Designed to provide the student with the requisite skills to create effective operations, preparedness, and response plans.
• IDS 542: Global Innovation Management: Provides the student with a survey and case studies of successful innovations.
• IDS 544: Global Sourcing and Logistics: Covers international logistics, with an emphasis on import/export.
• IDS 551: Operations Management in the Service Sector: Service strategy and design, managing capacity, waiting lines, quality, and revenue in service-oriented businesses.
• IDS 552: Supply Chain Management: The management of supply chains ranging from their design to operating strategies.
• IDS 553: Supply Chain Analytics and Decision Models: Covers analytics and modeling concepts in logistics and supply chain operations.
• IDS 555: Applied Supply Chain Strategy and Practice: Utilizes projects and case studies to synthesize knowledge acquired across the program.
• IDS 558: Revenue Optimization and Pricing Analytics: Explores techniques and strategies for optimizing revenue through pricing analytics and demand management.
• IDS 560: Analytics Strategy and Practice: Projects and case studies on how to apply analytic skills developed in the MS Business Analytics curriculum to practical problems.
• IDS 561: Analytics for Big Data: Fundamental concepts of distributed algorithms to analyze large-scale data.
• IDS 562: Foundations for Sustainable Business: Introduction to sustainable business foundations.
• IDS 563: Generative Artificial Intelligence: Introduces Generative AI basics and its applications in business analytics.
• IDS 564: Social Media and Network Analysis: Analytic approaches to help organizations utilize massive social media data.
• IDS 565: Safety and Ethics in AI: Investigates the risks and resolutions raised by rapid evolutions in Artificial Intelligence (AI).
• IDS 566: Advanced Text Analytics for Business: Techniques for mining and analyses of textual information.
• IDS 567: Business Data Visualization: Introduction to principles of data visualization for business.
• IDS 568: Managing Machine Learning and Artificial Intelligence Lifecycle and Development: Managing data science operations.
• IDS 569: Reinforcement Learning with Business Applications: Provides an accessible introduction to modern reinforcement learning (RL) approaches.
• IDS 570: Statistics for Management: Survey of statistical methods with applications for business and management.
• IDS 571: Statistical Quality Control and Assurance: The importance of quality in products and services.
• IDS 572: Data Mining for Business: Machine learning, statistics in data mining for business insights.
• IDS 573: Risk Management: Introduction to risk management.
• IDS 575: Machine Learning and Statistical Methods for Business Analytics: Generalized Linear Models; Maximum Likelihood and Expectation Maximization.
• IDS 576: Deep Learning and Modern Applications: Advanced machine learning techniques and business applications.
• IDS 577: Research Methodology I: Use of statistics and computers in research.
• IDS 578: Research Methodology II: Data analysis, including estimation, hypotheses testing, non-parametric methods.
• IDS 582: Time Series Econometrics: The role of research in business; forecasting methods and techniques.
• IDS 583: Business Research and Forecasting II: The role of research in business; forecasting methods and techniques.
• IDS 584: Cybersecurity Fundamentals: Cybersecurity is a foundational course designed to equip students with the essential knowledge and skills required to understand, mitigate, and manage cybersecurity threats and risks.
• IDS 589: Information and Decision Sciences Practicum: Provides an opportunity for students to apply their learning in a practical real-world setting.
• IDS 594: Special Topics in Information and Decision Sciences: Intensive study of a selected topic.
• IDS 595: Seminar in Information and Decision Sciences: Topics vary from term to term depending on the interests of the instructor.
• IDS 596: Independent Study in Information and Decision Sciences: Independent study under the direction of a faculty member.
• IDS 599: Ph.D. Thesis Research: Research on topic of the doctoral dissertation.