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

Winnipeg, Manitoba

 

INTAKE: Jan, May & Sept

Program Overview

The Bachelor of Science (Major) in Statistics program with a Co-op option at the University of Manitoba offers students a comprehensive education in statistical theory, methods, and applications. This program combines theoretical coursework with practical experience through cooperative education, preparing students for successful careers in data analysis, research, and decision-making across various industries.

Curriculum: The curriculum of the Bachelor of Science in Statistics program is designed to provide students with a solid foundation in statistical principles and methodologies. Students study core topics such as probability theory, statistical inference, regression analysis, experimental design, and multivariate statistics. They also have the opportunity to explore specialized areas of statistics, including time series analysis, computational statistics, and Bayesian methods. The curriculum emphasizes hands-on experience with statistical software and applications, as well as opportunities for independent research projects and internships through the Co-op option.

Research Focus: The Statistics Department at the University of Manitoba has a strong focus on research, with faculty members and students engaged in cutting-edge projects across various areas of statistics and data science. Research interests within the department include biostatistics, econometrics, environmental statistics, machine learning, and Bayesian statistics. Undergraduate students have the opportunity to participate in research initiatives, working alongside faculty mentors and contributing to the advancement of statistical knowledge and methodology.

Industry Engagement: The Co-op option of the Bachelor of Science in Statistics program facilitates industry engagement through practical work experiences with employers in various sectors. Students alternate between academic terms and paid work terms, gaining valuable hands-on experience applying statistical methods to real-world problems. Through cooperative education, students develop professional skills, build industry connections, and gain insights into potential career paths in statistics-related fields such as finance, healthcare, government, and technology.

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. These experiences expose students to different cultural contexts, statistical practices, and data analysis challenges, enhancing their understanding of global trends and issues in statistics and data science.

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 (Major) in Statistics program with a Co-op option at the University of Manitoba opens up numerous lucrative career opportunities in various sectors. 

Data Scientist: With a strong foundation 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 derive 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 find employment in government agencies, research institutes, or consulting firms, offering expertise in statistical methodologies and data interpretation.

Actuary: Graduates equipped with statistical knowledge and risk analysis skills 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 aid organizations in making 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 be employed by investment banks, hedge funds, or asset management firms, developing trading algorithms, risk models, and investment strategies.

Biostatistician: Those 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 assist businesses in making strategic decisions regarding 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 employ 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, utilizing mathematical and statistical models to optimize complex systems and enhance decision-making processes in logistics, transportation, or supply chain management. They identify efficiency opportunities, develop simulation models, and propose 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 across various industries. They may work independently or for consulting firms, assisting organizations in solving complex problems, making data-driven decisions, and achieving their business goals.


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