22 courses with the subject BIA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BIA 620Business Analytics (3 cr.)
This course focuses on the complex nature of analytics at the enterprise level. Emphasis is placed on the techniques companies use to turn information into an asset. Leadership and communication techniques are examined. Additional topics include leveraging proprietary data, technology and organizational performance. Best practices in project management are explored.
BIA 630Data Analysis and Business Modeling (3 cr.)
This course provides an introduction to advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models. Students are introduced to descriptive, predictive, and prescriptive analytics and optimization models.
This course prepares students to apply artificial intelligence (AI) and generative AI for strategic impact across industries. Students explore AI agents, ethical integration, and business applications that enhance productivity, innovation, and decision-making. The course equips students to lead digital transformation through data-driven strategy and responsible AI leadership.
In this course, students learn about advanced business intelligence techniques for data transformation and modeling. The course covers various methods for cleaning, transforming and integrating large datasets, and how to apply models to make strategic, data-driven business decisions.
BIA 640Data Visualization and Storytelling (3 cr.)
This course explores best-practice data visualization techniques. Professional storytelling and graphic design skills are introduced. Students study effective strategies and visualization tools to communicate with business decision makers.
BIA 645Communications and Content Strategies (3 cr.)
This course focuses on explaining complex datasets, models, and analysis to a variety of stakeholders including internal and external organizations and personnel of various disciplines. Audience analysis, and effective strategic communication are studied. Students identify and analyze problems. Professionalism in both oral and written communication is expected.
This course provides students with a hands-on understanding of the flow of information and products between and among supply chain stages. Students study major supply chain management strategies such as the procurement of raw materials, product development, operations, distribution, and finance all from a data-intensive perspective. Students explore data-driven decision-making tools and establish performance metrics to develop their own plans for supply chain success.
BIA 656Information Technology in Supply Chain Analytics (3 cr.)
This course teaches the fundamental information technology tools that affect supply chain management success in a data-driven environment. Learners explore how to achieve higher service levels, optimize inventory levels, and reduce costs and risk, while also considering data acquisition, governance, and ethics. Learners combine the study of end-to-end information flows from customer to supplier (with a focus on transforming raw data into actionable reporting) using common data engineering techniques and emerging technologies.
BIA 657Strategic Sourcing and Optimization Strategy (3 cr.)
Strategic sourcing can help an organization develop long-term relationships in the supply chain network. In this course students explore the use of data models to identify opportunities for improvement in the strategic sourcing process. Students also explore how artificial intelligence can support the identification of optimal supply chain solutions. Through the application of supply chain management principles, learners begin to assess data profiling studies in a variety of supply chain sourcing functions including sourcing, pricing, spend analysis, market research, negotiations, and contracting services.
This course addresses the tools, knowledge, and techniques needed to manage and enhance the connections, movements, and processes in the supply chain network. Using a diverse range of data sets and machine learning techniques, learners study the geographic nature of logistics and transportation and apply contingency planning, business continuity, and risk management and resiliency topics to optimize the supply chain network.
BIA 662Python Programming for Business Intelligence (3 cr.)
This course focuses on the framework for utilizing the Python programming language and structure for developing advanced analytical models and statistical studies. The course features an interface and application for performing, creating, and scripting for business intelligence use cases.
Students learn how to build, assess, and support decision support systems such as data warehouses and data marts for data science. Students develop a database. Project management strategies are discussed.
Students examine ethical and legal considerations when working with data, including government regulations. This course is designed to provide participants with an understanding of data-driven culture and how it can be applied to organizations of any size or industry. Students gain practical knowledge and skills to help their organizations make better decisions based on data. Students study real world cases illustrating data governance in organizations, issues in patient privacy, data ownership, and restrictions on data analysis..
BIA 671Information Systems for Healthcare Analytics (3 cr.)
This course explores performance management and technology management for the healthcare industry. This includes patient records, billing, operations, and organizations that support the healthcare industry. Students study healthcare informatics, patient portals, ERP systems, and data repositories such as data marts, data warehouses, and cloud computing. Common software used to collect and query data is also explored.
