Bachelor of Science (Honours) in Statistics (Co-op)

Winnipeg, Manitoba

 

INTAKE: Jan, May & Sept

Program Overview

The Bachelor of Science (Honours) in Statistics program at the University of Manitoba provides students with a comprehensive understanding of statistical theory, methods, and applications. This program combines theoretical coursework with practical experience, preparing students for careers in data analysis, research, and decision-making in various industries.

Curriculum: The curriculum of the Bachelor of Science in Statistics (Honours) program is designed to cover a broad range of topics in statistics. Students study foundational concepts such as probability theory, statistical inference, regression analysis, and experimental design. They also explore specialized areas of statistics, including time series analysis, multivariate statistics, and computational statistics. The curriculum includes hands-on experience with statistical software and applications, as well as opportunities for independent research projects and internships.

Research Focus: The Statistics Department at the University of Manitoba is actively engaged in research across diverse areas of statistics and data science. Faculty members and students conduct research in fields such as biostatistics, econometrics, environmental statistics, machine learning, and Bayesian statistics. Undergraduate students have the opportunity to participate in research projects, working alongside faculty mentors and contributing to advancements in statistical methodology and applications.

Industry Engagement: The Co-op option of the Bachelor of Science in Statistics program facilitates strong connections between students and industry partners. Through work terms with companies, government agencies, research institutes, and non-profit organizations, students gain practical experience applying statistical methods to real-world problems. Industry partners benefit from the expertise of student interns in data analysis, predictive modeling, quality control, and decision support, while students gain valuable professional skills and insights into potential career paths in statistics-related industries.

Global Perspective: The University of Manitoba promotes a global perspective within its academic programs, including the Statistics program. Students have opportunities to explore international perspectives in statistics through study abroad programs, international research collaborations, and exchange partnerships with universities worldwide. Such experiences expose students to different statistical methodologies, cultural contexts, and data analysis challenges, enhancing their understanding of global trends and issues.

Pollster Education

Location

Winnipeg, Manitoba

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

CAD 19830

Application Fees: CAD$ 120

Academic Requirements: Completion of secondary school education with a minimum average of 85%. Please note that specific programs may have additional requirements or higher admission standards.

English Language Proficiency:

  • IELTS: A minimum overall score of 6.5, with no band score less than 6.
  • TOEFL: A minimum score of 86 on the internet-based test (iBT).
  • PTE Academic: A minimum score of 58.
  • DET (Duolingo English Test): A minimum score of 120.

The University of Manitoba offers a variety of scholarships and financial aid options to support international students in their academic pursuits. These scholarships recognize academic excellence, leadership potential, and financial need. 

International Student Entrance Scholarships: These scholarships are available to international students entering undergraduate programs.The scholarships are awarded based on academic achievement, with different scholarship levels based on GPA.The value of the scholarships ranges from $1,000 to $40,000.

International Graduate Student Entrance Scholarships: These scholarships are available to international students applying for graduate programs.The scholarships are awarded based on academic achievement and potential.The value of the scholarships ranges from $5,000 to $17,500.

Faculty-Specific Scholarships: Various faculties within the university offer scholarships specific to their programs of study. These scholarships are available to both undergraduate and graduate international students.The eligibility criteria and values of these scholarships vary depending on the faculty.

External Scholarships: The University of Manitoba encourages international students to explore external scholarship opportunities.There are several external scholarship programs available for international students to fund their studies at the university.The university provides guidance and support in identifying and applying for these external scholarships.

It is important to note that the eligibility criteria, application processes, and deadlines for scholarships may vary. 

Graduating from the Bachelor of Science (Honours) in Statistics program with a Co-op option at the University of Manitoba opens up numerous rewarding career opportunities in various sectors. 

Data Scientist: With a strong background in statistics and practical experience gained through the Co-op program, graduates can pursue careers as data scientists. They analyze large datasets, develop predictive models, and extract insights to inform business decisions in industries such as finance, healthcare, marketing, and technology.

Statistical Analyst: Graduates can work as statistical analysts, conducting data analysis and interpreting results to support research projects, policy development, or business strategies. They may work in government agencies, research institutes, or consulting firms, providing expertise in statistical methodologies and data interpretation.

Actuary: Graduates with a solid understanding of probability theory and risk analysis can pursue careers as actuaries in insurance companies, financial institutions, or consulting firms. They assess risk factors, determine insurance premiums, and develop financial models to help organizations make informed decisions about risk management and financial planning.

Quantitative Analyst: Graduates can work as quantitative analysts, applying statistical techniques and mathematical models to analyze financial markets and investment strategies. They may work for investment banks, hedge funds, or asset management firms, developing trading algorithms, risk models, and investment strategies.

Biostatistician: Graduates interested in healthcare and life sciences can pursue careers as biostatisticians. They design clinical trials, analyze medical data, and interpret findings to support medical research, drug development, and public health initiatives in academic institutions, pharmaceutical companies, or healthcare organizations.

Market Researcher: Graduates can work in market research roles, collecting and analyzing data to identify consumer trends, market opportunities, and customer preferences. They conduct surveys, focus groups, and data analysis to help businesses make strategic decisions about product development, marketing campaigns, and market expansion.

Quality Assurance Analyst: Graduates can work in quality assurance roles, ensuring product quality and process improvement in manufacturing, technology, or healthcare industries. They use statistical methods to monitor production processes, analyze quality control data, and implement corrective actions to maintain product standards and regulatory compliance.

Operations Research Analyst: Graduates can work as operations research analysts, applying mathematical and statistical models to optimize complex systems and improve decision-making processes in logistics, transportation, or supply chain management. They identify efficiency opportunities, develop simulation models, and recommend strategies for cost reduction and performance improvement.

Consultant: Graduates can work as statistical consultants, providing expertise in data analysis, experimental design, and statistical modeling to clients in various industries. They may work independently or for consulting firms, helping organizations solve complex problems, make data-driven decisions, and achieve their business objectives.


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