MacEwan University statistics students will collaborate with your organization to apply advanced analytical techniques such as principal component analysis (PCA), clustering, and discriminant analysis on clean, pre-prepared datasets. Through this experience, students will generate meaningful insights and translate complex statistical findings into actionable recommendations. Ideal for organizations looking to uncover patterns, optimize operations, or make data-informed decisions.    Student Skills Already Acquired Matrix algebra Statistical computing in R Data cleaning, wrangling, and visualization To Be Developed Principal Components Analysis (PCA) Factor analysis Discriminant and cluster analysis Canonical correlation analysis Machine learning applications Data storytelling and stakeholder communication Project management and collaboration with external partners

This experience is designed for learners enrolled in social work programs, focusing on community engagement and support strategies. Learners are equipped with skills in needs assessment, program planning, and resource coordination. They can apply these skills to real-world projects by collaborating with industry professionals to develop and implement community support initiatives. The experience aims to bridge classroom knowledge with practical applications, enabling learners to contribute effectively to community-focused projects.

Students in their 3rd and 4th years can participate in these placements. Students will be from a wide degree of majors in the Bachelor of Arts and Bachelor of Science programs. You can expect students to have a solid foundation of knowledge in their program discipline and be capable of working at a fairly independent level (with mentorship and feedback regularly provided throughout the placement). Roles offered to students should reflect early-career level work for their discipline. Bachelor of Arts Majors include: anthropology, economics, English, history, philosophy, political science, psychology, sociology  Bachelor of Science Majors include: applied statistics, biological sciences, chemistry, computer science, mathematical sciences, mathematics, physical sciences, psychology

Students in their 3rd and 4th years can participate in these placements. Students will be from a wide degree of majors in the Bachelor of Arts and Bachelor of Science programs. You can expect students to have a solid foundation of knowledge in their program discipline and be capable of working at a fairly independent level (with mentorship and feedback regularly provided throughout the placement). Roles offered to students should reflect early-career level work for their discipline. Bachelor of Arts Majors include: anthropology, economics, English, history, philosophy, political science, psychology, sociology  Bachelor of Science Majors include: applied statistics, biological sciences, chemistry, computer science, mathematical sciences, mathematics, physical sciences, psychology