As increasing amounts of data are collected in learning environments, analysts are needed who can collect, interpret, and analyze data to improve learning outcomes and processes. Individuals who qualify for these positions must be able to apply not only technical and analytical skills, but also an understanding of learning theories and instructional design. This unique combination of skills and knowledge is needed for developing and implementing effective learning solutions.
Building on the Master of Science degree in Learning Technologies (Learning Analytics concentration), the 4-course graduate academic certificate (GAC) in Learning Analytics prepares professionals to apply data-driven techniques to understand and improve learning processes both in education and in business. The Learning Analytics certificate provides students with scaffolded skill development as they apply learning analytics algorithms and techniques to real-world educational and training datasets and case studies. Learning is deepened through hands-on activities that support learners in building skills while analyzing real-world, contextualized datasets and summarizing important variables and model predictions. 

Individuals who complete the LA GAC will:

• Develop foundational programming skills in R/Python.
• Build analytical skills for predictive modeling and advanced text analysis.
• Collect and analyze unstructured data.
• Design and apply AI-driven solutions for educational needs/assessment.