Advanced Bayesian Statistics Using R

Founded in 1873 and located in Christchurch, the University of Canterbury combines a long academic tradition with a modern, research-driven campus environment. Home to more than 20,900 students, the university offers a broad range of undergraduate and postgraduate paths across 21 main program areas. Its heritage of teaching excellence and strong research culture create an environment where critical thinking and practical problem solving are central to the student experience.

Facilities and partnerships support hands-on learning across sciences, engineering, arts and commerce, with opportunities for fieldwork, internships and industry collaboration. Small tutorials and active laboratory work complement larger lectures, while staff and researchers bring international perspectives into classrooms. The university is known for equipping graduates with professional skills, entrepreneurship mindset and global awareness valued by employers.

Christchurch offers a friendly, safe setting with easy access to outdoor recreation and urban amenities, making it attractive for international students seeking study-work balance. The campus provides comprehensive student services, including orientation, academic advising and career support to help newcomers integrate and succeed. For students seeking a respected New Zealand degree with strong industry links and a supportive community, the University of Canterbury presents many pathways to personal and professional growth.

The Advanced Bayesian Statistics Using R program is for students who want to learn advanced statistics. It's a non-degree program that lasts several weeks and is taught in English. You'll learn how to use R for statistical analysis.

This program will help you learn about Bayesian statistics, regression, and modeling. You'll work on projects and use R to analyze data. You'll develop skills in data analysis, statistical modeling, and programming.

After completing this program, you can work as a Data Analyst, Statistician, Biostatistician, or Research Assistant. You can work in fields like healthcare, finance, or social sciences.