Statistics

The Master of Arts in Statistics at Carleton University offers a comprehensive and rigorous curriculum designed to equip students with a strong theoretical foundation and practical skills in statistical methods and data analysis. This graduate program is ideal for individuals seeking to deepen their understanding of statistical theory, methodology, and applications across diverse fields such as healthcare, economics, engineering, social sciences, and government. Students will engage with a wide range of courses covering probability theory, statistical inference, regression analysis, multivariate analysis, and computational statistics, enabling them to design, implement, and interpret complex statistical models. The program emphasizes both theoretical knowledge and practical experience, often involving hands-on projects, data analysis exercises, and collaborations with industry or government agencies.

Carleton University's Department of Mathematics and Statistics provides a supportive learning environment with experienced faculty members who are active researchers in various areas of statistics. Students have access to state-of-the-art computing facilities and resources that facilitate advanced data analysis and modeling techniques. The curriculum is designed to prepare graduates for careers in statistical research, data science, analytics, and consulting, or to pursue further study at the doctoral level. The program often includes seminars, workshops, and opportunities for collaboration, fostering an environment of continuous learning and professional development.

Additionally, the university's strong connections with governmental agencies, private industry, and research institutions provide students with valuable networking opportunities and real-world experience. The Master of Arts in Statistics at Carleton University balances theoretical rigor with practical application, ensuring that graduates are well-equipped to meet the demands of an increasingly data-driven world. Whether students aim to work in academia, industry, or public service, this program provides a solid foundation for a successful career in statistics and data analysis.