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Connected | Engaged | Inspired
Founded in 1971, MacEwan University provides student-focused instruction in a warm and supportive atmosphere. We focus on teaching, so our students can focus on learning. It’s been a cornerstone of who we are for more than 40 years. And we continue to build on that reputation.
Offering more than 65 programs, the university provides a transformative education in a collaborative and supportive learning environment. Creativity thrives here through research and innovation that engages students, faculty and the community.
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Recent experiences
Fall 2025 - POLS 495 - Political Science Field Placement
10943
Political Science Field Placement Program A political science field placement course offers students the opportunity to apply their academic understanding of political systems, public policy, and governance by completing a placement within a related workplace. Political science majors are well-prepared to contribute across a range of sectors, including public administration, non-profit advocacy, policy analysis, and international relations. During the placement, students bring strong research and analytical skills, an understanding of governance structures, and the ability to work both independently and collaboratively. Employers can expect students to provide valuable insights, adapt quickly, and bring fresh perspectives to policy and political challenges. Skills: Technical Skills: Policy analysis and research methodology Data analysis and visualization Understanding of governance, political theory, and legislative processes Soft Skills: Critical thinking and problem-solving for policy issues Effective written and verbal communication, particularly in public and policy contexts Team collaboration and project management skills, including deadline management and organization
Fall 2025 - STAT 372 – Applied Multivariate Analysis and Machine Learning
STAT 372
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
Fall 2025 - CMPT 480 Computer Network Security
These are senior-level students in a computer science program who are focused on network security. They are capable of using professional tools and writing code to simulate and analyze network vulnerabilities and attacks. Their primary goal is to apply their technical knowledge to real-world challenges and gain experience working with external organizations.
Fall 2025 - Community Engagement and Support Initiatives
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.
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