OTM Undergrad Curriculum

This page lists only OTM Major requirements. The first section shows the courses and the second section shows the course descriptions.

Major Requirements — 27 hours

BUS 361 Foundations of Operations Management 3
BUS 452 Project Management 3
BUS 453 Supply Chain Analytics 3
BUS 456 Systems Analysis and Design 3
Choose one of the following courses (coding requirement)
BUS 458 Power Problem Solving with VBA 3
BUS 461 Intro to R Programming in business 3
BUS 491 Intro to Python and Simulation 3

Four of the following electives:

The student is required to complete four OTM electives, out of which a minimum of three must be OTM courses.  Any non-required 300 and 400 level OTM course qualifies.  

BUS 356 Database Management 3
BUS 454 Project Management Processes and Certification 3
BUS 455 Prescriptive Analytics 3
BUS 457 Inventory Management 3
BUS 458 Power Problem Solving with VBA 3
BUS 459 Business Analytics 3
BUS 460 Process Analysis & Quality Management 3
BUS 461 Intro to R Programming in business 3
BUS 469 Object Oriented Analysis and Design 3
BUS 491 Python and Machine Learning 3
BUS 491 Healthcare Operations 3
BUS 491Production and Service Operations Management3
BUS 491Execution and Control of Operations and Strategic Management of Resources3
BUS 463 Introduction to Data Science  3

One OTM elective may be from the following non-OTM courses.

BUS 365 Accounting Information Systems 3
BUS 400 Management Decisions and Policy 3
BUS 441 International Finance 3
BUS 470 Marketing Research 3
BUS 474 Digital Marketing 3
BUS 483 Strategic Controls for New Venture Operations 3
ECN 440 International Economics 3

Course Descriptions

Business Foundation Lower Division (OTM focus)

  • •  BUS 255 Introduction to Operations and Technology Management: Provides an overview of Operations Management & Information Technology and how they work together to improve business efficiencies and competitive positioning. Introduces students to various high demand skills and concepts including forecasting, business process analysis and design, database management, cloud and network management, business intelligence and decision support, supply chain management and other operational disciplines.

Business Foundation Upper Division (OTM focus)

  • •  BUS 355 Decision Modeling and Analytics (previously, Decision modeling): Develops understanding of quantitative decision making by considering problems in accounting, finance, human resources, marketing, operations, and strategic business management. Examines the impact of uncertainty on business results and the tools and methods useful in making business decisions under uncertainty and constraints. Stresses use of Microsoft Excel and statistical software in business analysis.

Major Requirements (the following four are required)

  • •  BUS 361 Foundations of Operations Management: Develops quantitative and theoretical knowledge of issues related to the design and management of operations and technology. Develops student understanding of the strategic importance of and competitive advantage derivable from operations. Special emphasis on foundational concepts such as quality management, queuing theory, inventory management, and forecasting.
  • •  BUS 452 Project Management: Takes a comprehensive view of the concepts, tools and realities of successfully managing projects. Covers project selection, justification, planning and scheduling, and cash flow management including methods such as PERT/CPM, Critical Chain, Earned Value Analysis, and Simulation. Addresses important management and leadership issues including contracts, team composition, team building, motivation and compensation/incentives.
  • •  BUS 453 Supply Chain Analytics (previously, Supply Chain Management): Takes a comprehensive look at supply chain design, operations and management. Develops skills in examining and improving the flow of materials and information through an international network of suppliers, manufacturers, distributors, and retailers in order to effectively match supply with demand. Topics include inter- and intra-firm coordination, incentive design, the impact of uncertainty, and the role of information technology.
  • •  BUS 456 Systems Analysis and Design: Provides fundamental systems analysis and design concepts and methodologies essential for successful and effective development of complex information systems. Approaches the development of business systems from a problem-solving perspective including traditional systems life cycle and object-oriented models. Intended for students who plan on becoming business analysts or systems developers.

Coding courses (One of the following is required)

  • •  BUS 458 Power Problem Solving with VB: Develops students’ ability to recognize personal and workgroup productivity improvement opportunities and to improve analysis and document consistency using VBA. Emphasis will be placed on the use of VBA to improve Excel spreadsheet integrity and maintainability, increasing the value of electronic spreadsheets as strategic and tactical assets and significantly reducing organizational liability and audit burdens associated with electronic spreadsheets.
  • •  BUS 461 Intro to R Programming in Business: Develops an understanding of R, a powerful statistical computing environment with an enormous base of statistical and modeling methods that is increasingly the statistical computing environment of choice for academia and industry. Emphasizes sound programming fundamentals and data management facilities. Applications in data management, project management, quality management, and supply chain management will be used to strengthen problem solving and programming skills.
  • •  BUS 491 Python and Simulation: Develops an understanding of Python, a flexible programming language with an enormous base of statistical & modeling libraries. Emphasizes programming fundamentals, benefits of object oriented software architecture and use of NumPy and Pandas for managing data and improving computational efficiency. Builds on the Monte Carlo simulation basics to develop real-world simulation models and strengthen problem solving programming skills.

OTM Electives (Four overall electives are required; out of which minimum three must be OTM courses). These courses are broadly classified into technology/analytics-focused electives and Operations-focused electives.   

Technology/Analytics Focused Electives

  • •  BUS 356 Database Management: Examines how database technology supports business objectives and information technology initiatives. Focuses on the design and implementation of a business database using the relational database model and database life cycle methodology. Covers database skills including data flow diagrams, entity-relationship models, object-oriented modeling, e-business/internet integration, and database implementation skills in using Microsoft Access, Oracle, and Structural Query Language.
  • •  BUS 459 Business Analytics: This course covers the use of data, information technology, statistical analysis, and quantitative models to teach students how to make data-driven decisions. It provides students with knowledge and skills in descriptive and predictive analytics to understand, analyze, and predict business performance. The concepts learned will be applied to diverse business applications using easy-to-use software.
  • •  BUS 455 Prescriptive Analytics (Previously, Optimization): Develops understanding of advanced optimization methods by considering business problems in a variety of functional areas. Covers linear programming, integer programming, network models, nonlinear programming, stochastic programming, multicriteria optimization, and decentralized optimization. The course stresses the use of computer software in solving business optimization problems and performing business analysis.
  • •  BUS 491 Python and Machine Learning: Introduces the fundamentals of Machine Learning using readily available Python libraries commonly used in industry such as NumPy, Pandas, Scikit-Learn and Tensorflow. Emphasizes problems in classification and regression (prediction), including a conceptual understanding of these problems, the solution approaches employed by various algorithms, and hands on experience implementing machine learning applications.
  • •  BUS 463 Introduction to Data Science: Develops an understanding of the scientific process as it relates to social science research methods, and uses the scientific method, appropriate quantitative techniques, and technological tools (R and Excel) to conduct a basic data science research project. Also covers issues related to quantifying, monetizing, and managing information.
  • •  BUS 469 Object Oriented Analysis and Design: This course covers fundamentals of object-oriented analysis and design. Topics include requirements gathering, systems modeling and software specification. The course emphasizes the use of the Unified Modeling Language (UML) to specify the structural and behavioral aspects of a software architecture. Additionally, the course will address object relational mapping and illustrate key object oriented concepts using Java.

Operations Focused Electives

  • •  BUS 457 Inventory Management: Presents a comprehensive view of managing the flow of inventory to, within, and from the organization. Deals with the balance between shortages and excesses in an environment characterized by demand and supply uncertainty. Includes critical aspects of contemporary strategies such as JIT, lean, and reverse logistics (sustainable supply chains). Emphasizes both theory and practice applications.
  • •  BUS 460 Process Analysis and Quality Management: Takes a comprehensive look at process analysis & design, and quality management. Emphasizes qualitative and quantitative tools for designing efficient and effective processes and integrating quality management into the production or service process. Covers process diagramming, process performance measurement, flow analysis and managing process variability, process capability, lean operations, and quality management methods and philosophies (e.g. six sigma and TQM).
  • •  BUS 454 Project Management Processes and Certification: Takes a comprehensive look at approaches and tools for planning, executing and closing projects based on the Project Management Institute’s (PMI) library of global standards. Presents a process-oriented view of project integration and managing project scope, cost, time, resources, quality and communications. Provides an excellent preparation for PMI’s Certified Associate in Project Management and Project Management Professional certification examinations.

•  BUS 491 Production and Service Operations Management: Both manufacturing operations and service operations are in the business of satisfying customers, and that requires organization and planning. This course explores the use of advanced operations tools in production and service management. It emphasizes concepts, strategies, and qualitative and quantitative techniques applicable to production/service operations of a variety of business organizations. It covers facility location selection, facility layout design, resource requirement planning, quality control, production scheduling, supplier selection, service delivery system, service profit chain.

  • •  BUS 491 Execution and Control of Operations and Strategic Management of Resources: Learn to translate plans into operational activities, define and apply techniques in operations field, and understand how market requirements drive resources and processes of an organization. Topics include: creating operational solutions while balancing competing resources, understanding release of work, strategic planning and implementation of operations, knowing relationship of existing and emerging processes and technologies to operations and supply chain functions.