Last updated on 2025-11-25
Program overview
The Master of Science (MSc) in Management Analytics at Wilfrid Laurier University is a 12-month professional program designed to equip students with the skills to make informed business decisions through data analysis. This program focuses on understanding and leveraging data to enhance business strategies, making graduates valuable assets in a data-driven world. With the increasing availability of data from various sources, including the Internet of Things and social media, this program prepares students to lead data-driven projects and strategies that enhance competitiveness in the marketplace. Graduates will be well-positioned to address the growing demand for skilled analytics professionals in Canada.
Program structure
The MSc in Management Analytics program is structured to provide a comprehensive education in data analytics over a 12-month period. The program is divided into three main terms:
- Fall Term: Focuses on business analytics fundamentals.
- Winter Term: Concentrates on management-level analytics.
- Spring Term: Involves electives and a fieldwork project.
Students will engage in a field project over the final two terms, applying their skills to solve real-world analytics issues in collaboration with industry partners. Additionally, students have the option to pursue a double degree with the Master of Finance (MFin), which combines finance and data analytics training. This interdisciplinary approach ensures that graduates are well-equipped to tackle complex business challenges using sophisticated analytical tools.
Featured Experiences
- Hands-on field projects that allow students to apply their knowledge in real-world settings.
- Opportunities for collaboration with industry partners to solve analytics challenges.
- Access to career development services that provide guidance on job search strategies and resume building.
- Potential for a double degree with the Master of Finance (MFin) for a broader skill set.
- Engagement in a collaborative learning environment with diverse peers and faculty.
Career Options
- Data Scientist: Analyzes complex data sets to inform business decisions and strategies.
- Business Analyst: Evaluates business processes and identifies opportunities for improvement through data analysis.
- Financial Analyst: Uses data analytics to assess financial performance and guide investment decisions.
- Operations Analyst: Focuses on optimizing operational processes using data-driven insights.
- Business Intelligence Analyst: Develops strategies to enhance business performance through data analysis and reporting.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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