Practical Learning Analytics

The University of Michigan in Ann Arbor, founded in 1817, is a leading public research university with a large and diverse student body of approximately 64,575 students and an expansive portfolio of more than 200 academic programs. Renowned for research excellence, interdisciplinary collaboration, and a strong commitment to public service, Michigan combines top-tier scholarship with extensive resources across arts, sciences, engineering, business, and health fields.

Academic life at Michigan features world-class faculty, cutting-edge laboratories, and broad opportunities for undergraduate and graduate research, entrepreneurship, and global study. The university emphasizes experiential learning through internships, clinical placements, and community partnerships, enabling students to apply classroom knowledge to real-world challenges. Interdisciplinary centers and initiatives encourage collaboration across departments and foster innovation.

Campus life in Ann Arbor is vibrant, with a rich mix of student organizations, cultural events, athletics, and civic engagement. International students benefit from dedicated support services, language resources, and career programming that connect graduates to global employers and advanced study options. For prospective students seeking a research-intensive environment with deep academic breadth and strong professional pathways, the University of Michigan offers a rigorous, resource-rich setting to pursue ambitious goals.

The University of Michigan offers a Non-degree program called Practical Learning Analytics, taught in English and lasting 1 week. It's for students who want to learn about learning analytics. This program helps students develop data analysis skills.

The curriculum covers topics such as data analysis and learning metrics. Students will learn to use tools to analyze data and evaluate learning outcomes. The program includes hands-on activities to help students apply their knowledge.

After completing this program, students can pursue careers such as Learning Analyst, Data Scientist, or Education Researcher. They can work in industries like education, research, or technology. Employers may include schools, universities, or education companies.