UC Online’s Master’s in Business Analytics program is now accepting applications for the Spring 2023 semester.
UC online (UCO) offers a flexible Master’s in Business Analytics program built for working professionals. Asynchronous courses allow you to complete the work on your time around your busy schedule. These courses are taught by the same world-class faculty from our on-campus program. You will gain knowledge in predictive, prescriptive, and descriptive analytics all while getting the amazing start to graduation support that UC Online is known for.
It’s not enough to just analyze data; you need to know how to communicate the story it tells in a clear, compelling manner—a skill called data storytelling
The Data Storytelling workshop teaches the fundamentals of effective visualization, with emphasis on building a compelling narrative around the data insights you want to communicate. You’ll learn to understand the context, choose an effective visual, identify and eliminate clutter, focus attention, and tell a story. These lessons are made concrete through numerous real-world examples, and participants get hands-on practice in an interactive session. The goals of this workshop is to enable you to bring data to life and use it to communicate a story to an audience, with a focus on simplicity and ease of interpretation.
Learn how to free-up Data Science time for more model building and less model support.
This course is for teams looking to scale their Data Science functions while increasing the number and performance of models in production. MLOps is the best practices and standards to deploy, monitor, and improve A.I. models. Students learn an overview of MLOps and how to apply best practices for your team. Learn the terminology and concepts of enterprise MLOps, including process, roles, and best practices.
A.I. Architecture: Learn to design, architect, and deploy deep learning applications.
A.I. Pipelines: Build automated model pipelines for continuous training, integration, and deployment.
A.I. Monitoring: Measure, monitor, and improve model performance to maximize impact and R.O.I. throughout the model’s life cycle.
If you have any questions about UC Center for Business Analytics membership, analytics training, student projects, or events, please reach out to ucbusanalytics@ucmail.uc.edu
