Advanced Statistical Inference and Modelling 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 Statistical Inference and Modelling Using R program is for students who want to improve their statistical skills. This non-degree program is taught in English and can be completed online in a few weeks. It helps students learn advanced statistical methods.

The program teaches students about statistical inference and modeling using the R programming language. Students learn how to analyze data, create models, and interpret results. The program includes hands-on exercises to help students practice their new skills.

After completing this program, students can work as data analysts, statistical consultants, or research assistants. They can work in fields like science, healthcare, or finance. Some possible job titles include biostatistician, data scientist, or research statistician.