Master of Business Administration - Project Management
The University of New Brunswick offers a highly regarded Master of Business Administrat...
Bachelor of Science in Statistics
Saint John
INTAKE: Jan, May & Sept
Program Overview
The Bachelor of Science in Statistics program at the University of New Brunswick (UNB) offers students a comprehensive education in statistical theory, methods, and applications. The program is designed to equip students with the analytical skills and quantitative reasoning necessary for careers in various fields such as data analysis, research, finance, healthcare, and government. Students learn to collect, analyze, and interpret data using statistical software and techniques, preparing them for roles that require expertise in statistical analysis and decision-making.
Curriculum: The curriculum of the Bachelor of Science in Statistics program covers a wide range of topics in statistics, mathematics, and data analysis. Students take courses in probability theory, mathematical statistics, regression analysis, experimental design, multivariate analysis, time series analysis, and computational statistics. They also learn to use statistical software such as R, SAS, and Python to analyze data and generate reports. The curriculum may include hands-on projects, case studies, and internships to provide students with practical experience in applying statistical methods to real-world problems.
Research Focus: UNB emphasizes research in statistics, offering students opportunities to engage in research projects and gain practical experience in statistical analysis and methodology. Faculty members conduct research in diverse areas such as biostatistics, econometrics, environmental statistics, social statistics, and Bayesian statistics. Students may participate in research collaborations, independent studies, or thesis projects, allowing them to apply statistical techniques to address research questions and contribute to advancements in the field.
Industry Engagement: The University of New Brunswick fosters strong connections with industry partners in sectors such as healthcare, finance, technology, and government to provide students with opportunities for industry engagement and career development. Through internships, co-op programs, and collaborative projects, students gain practical experience, networking opportunities, and insight into the applications of statistics in various industries. Industry partnerships may also support student research projects, job placements, and professional development.
Global Perspective: UNB encourages students in the Bachelor of Science in Statistics program to develop a global perspective by exploring statistical concepts within broader international contexts. Courses may address topics such as cross-cultural data analysis, global health statistics, international finance, and multilateral data sharing agreements. Students may have opportunities for international exchanges, study abroad programs, or research collaborations with institutions abroad, gaining exposure to diverse datasets, methodologies, and applications of statistics around the world.
Location
Saint John
Score
IELTS 6.5
Tuition Fee
CAD 19148
Application Fees: CAD$ 125
Academic Qualifications: A minimum overall percentage of 70% in your high school or secondary school studies is typically required. 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 85 on the internet-based test (iBT).
- PTE Academic: A minimum score of 59.
- DET (Duolingo English Test): A minimum score of 115.
The University of New Brunswick (UNB) offers several scholarships and financial aid opportunities to support international students in their academic journey. These scholarships are awarded based on various criteria such as academic excellence, extracurricular achievements, and financial need.
UNB International Excellence Scholarships: These scholarships are awarded to international undergraduate students who demonstrate academic excellence. The scholarship values range from $8,000 to $35,000 CAD and are renewable for up to four years of study.
Entrance Scholarships for International Students: UNB offers a range of entrance scholarships specifically for international students entering undergraduate programs. These scholarships are based on academic achievement and vary in value.
International Baccalaureate Scholarships: UNB recognizes the achievements of international students who have completed the International Baccalaureate (IB) program. Scholarships ranging from $1,000 to $5,000 CAD are awarded to eligible IB graduates.
Study Abroad Scholarships: UNB provides scholarships for international students who wish to participate in study abroad programs. These scholarships help cover the costs of tuition, travel, and living expenses during the study abroad experience.
External Scholarships: UNB also encourages international students to explore external scholarship opportunities from government agencies, foundations, and organizations in their home countries. The university provides support and guidance in finding and applying for these scholarships.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
Graduates of the Bachelor of Science in Statistics program at the University of New Brunswick (UNB) possess a strong foundation in statistical theory, methods, and applications, making them highly sought after in various industries.
Data Analyst: Graduates can pursue careers as data analysts in industries such as healthcare, finance, marketing, and technology. They analyze large datasets to identify trends, patterns, and insights that inform business decisions, product development, and marketing strategies.
Statistical Programmer: Graduates may work as statistical programmers, using programming languages such as R, SAS, or Python to develop statistical models, algorithms, and software tools for data analysis and visualization.
Actuarial Analyst: Graduates with a strong background in statistics and mathematics can pursue careers as actuarial analysts in insurance companies, financial firms, or consulting firms. They assess risks, analyze financial data, and develop models to calculate insurance premiums, pensions, and other financial products.
Biostatistician: Graduates may work as biostatisticians in healthcare organizations, pharmaceutical companies, or research institutions. They design clinical trials, analyze medical data, and interpret research findings to support advancements in healthcare and medicine.
Market Research Analyst: Graduates can work as market research analysts, conducting surveys, analyzing consumer data, and providing insights into market trends, customer preferences, and competitive landscapes to help businesses make informed marketing decisions.
Quality Control Analyst: Graduates may work in quality control or quality assurance roles in manufacturing, pharmaceuticals, or food production companies. They design experiments, analyze production data, and ensure compliance with quality standards and regulations.
Environmental Statistician: Graduates interested in environmental science or sustainability can work as environmental statisticians, analyzing environmental data, modeling ecological systems, and assessing the impact of human activities on the environment.
Research Analyst: Graduates may work as research analysts in academic institutions, think tanks, or government agencies. They conduct statistical analyses, literature reviews, and policy evaluations to support research projects and inform public policy decisions.
Financial Analyst: Graduates with a background in statistics and finance can pursue careers as financial analysts in banking, investment firms, or corporate finance departments. They analyze financial data, evaluate investment opportunities, and provide recommendations to clients or management.
Consultant: Graduates can work as statistical consultants, providing expertise and advice to organizations in various industries. They may help businesses optimize processes, improve decision-making, and solve complex problems using statistical methods and data analysis techniques.
