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.

The Bachelor of Arts (Honours) in Statistics at Carleton University provides students with a comprehensive foundation in statistical theory, methods, and applications, equipping graduates with the analytical skills necessary to interpret and manage data across various disciplines. The programme is designed to develop a deep understanding of probability, statistical inference, and data analysis techniques, preparing students for careers in industries such as finance, government, healthcare, technology, and research.

Throughout the degree, students engage with a diverse curriculum that includes core courses in calculus, linear algebra, and programming, alongside specialized classes in statistical modeling, experimental design, and multivariate analysis. Practical experience is emphasized through the use of statistical software and data analysis projects, enabling students to apply theoretical knowledge to real-world problems. The programme also encourages the development of communication skills, ensuring graduates can effectively present complex statistical findings to both technical and non-technical audiences.

In addition to rigorous coursework, students have opportunities for experiential learning through internships, co-op placements, and research projects, providing valuable insights into professional environments and industry practices. The honours component promotes independent research and critical thinking, culminating in a comprehensive honours thesis that showcases a student’s ability to conduct advanced statistical analysis.

The programme aims to prepare students not only for immediate employment but also for further graduate study in statistics, data science, or related fields. Graduates of the Honours in Statistics programme leave equipped with quantitative literacy and problem-solving skills, making them highly competitive in today’s data-driven world. Dedicated faculty members with expertise across various statistical domains mentor students throughout their academic journey, fostering a collaborative environment that encourages innovation and scholarly excellence.

Program Requirements:

The Master of Arts in Statistics at Carleton University is designed to provide students with a comprehensive understanding of statistical theory and its applications. Prospective students are required to hold a Bachelor's degree in Mathematics, Statistics, or a related field from a recognized university. Applicants must demonstrate a strong academic record, typically reflected by a minimum GPA of 3.0 on a 4.0 scale or equivalent. In addition to academic credentials, applicants are often required to submit letters of recommendation, a statement of research interests or purpose, and a curriculum vitae or résumé.

The program emphasizes foundational coursework in probability theory, statistical inference, and computational statistics. Students are also expected to undertake advanced courses in areas such as regression analysis, multivariate statistics, Bayesian methods, and time series analysis. Practical skills are reinforced through coursework involving statistical software packages like R, SAS, or Stata, as well as through applied projects and thesis research. The program may also include seminars, workshops, and collaborative projects to enhance practical understanding and industry readiness.

For admission, international students are generally required to demonstrate proficiency in English through standardized tests such as TOEFL or IELTS, with minimum score requirements specified by the university. All applicants must also satisfy the university’s general admission requirements, including providing official academic transcripts and, where applicable, GRE scores.

The graduate coursework typically spans over one to two years, depending on whether the student enrolls on a full-time or part-time basis. During their studies, students are expected to complete a certain number of core courses and electives, culminating in a thesis or research project demonstrating the synthesis of their knowledge and skills. The program aims to prepare graduates for careers in data analysis, actuarial science, research, or doctoral studies in statistics or related disciplines.

To remain in good standing, students must meet the minimum GPA requirements set by the department and adhere to all program-specific deadlines and requirements. Additional requirements, such as teaching assistantships or internships, may be part of the program to enhance academic and professional development.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The Master of Science in Statistics at Carleton University offers a comprehensive and flexible financing structure designed to support students throughout their academic journey. Funding options include teaching assistantships, research assistantships, and internal awards, aiming to alleviate financial burdens and enhance the educational experience. Teaching assistantships (TAs) are typically available to graduate students, providing a stipend in exchange for assisting faculty with coursework, grading, and student support, fostering valuable teaching skills. Research assistantships (RAs) are awarded based on research projects, often funded by faculty members' grants, offering competitive stipends to students engaged in active research work.

In addition to assistantships, students may be eligible for internal awards and scholarships offered by Carleton University, which recognize academic excellence, research potential, and departmental involvement. Prospective students are encouraged to apply early for these awards, as application processes are often integrated with graduate admission procedures. External funding sources, such as provincial or national scholarships, may also be pursued by students to complement university support.

The university maintains a dedicated financial aid office that provides guidance on available funding opportunities, application procedures, and eligibility criteria. Students are advised to explore multiple sources of funding to ensure comprehensive financial support during their studies. It is also common for students to secure external scholarships or employer-sponsored bursaries, depending on their backgrounds and affiliations. The program duration generally varies, with many students completing their degree within two years, with opportunities to supplement their income through on-campus employment. Overall, Carleton University is committed to supporting its graduate students financially, enabling them to focus on their academic and research pursuits without undue financial stress.

The Master of Arts in Statistics at Carleton University is designed to provide students with a comprehensive understanding of both theoretical and applied aspects of statistics. The program aims to equip students with the skills necessary to analyze complex data, develop statistical models, and interpret results in various fields such as government, healthcare, business, and research. This graduate program emphasizes rigorous training in probability theory, statistical inference, computational statistics, and data analysis techniques, ensuring that graduates are well-prepared for careers in academia, industry, or government agencies. Students enrolled in the program have access to state-of-the-art facilities and resources, including advanced statistical software and dedicated research spaces. The curriculum often includes coursework in areas such as biostatistics, financial statistics, time series analysis, and Bayesian methods, among others. In addition to coursework, students typically engage in research projects or theses, which allow them to apply their skills to real-world problems and develop expert-level knowledge in specialized areas of interest. The program encourages collaboration with faculty members who are active researchers in fields like theoretical statistics, computational methods, and statistical applications. Graduates of the program often pursue careers as data analysts, statisticians, quantitative researchers, or continue their studies in PhD programs. The program also emphasizes ethical considerations in data analysis and promotes an understanding of how statistical work impacts society. Students benefit from Carleton University's strong ties to local industries and governmental agencies, providing opportunities for internships and experiential learning. The program strives to produce well-rounded statisticians capable of addressing the rapidly evolving challenges in data science and analytics. The duration of the program is typically two years for full-time students, with options for part-time study. Admission requirements generally include a relevant undergraduate degree, strong quantitative skills, and proficiency in mathematics and programming. Overall, the Master of Arts in Statistics at Carleton University offers a rigorous and versatile education, preparing graduates for diverse roles in the field of statistics and data science.