Bachelor of Commerce (BComm)
The Bachelor of Commerce (BComm) program at Queen's University is renowned for its ...
Kingston
INTAKE: September
Queen's University offers a Bachelor of Science (Honours) program in Statistics, providing students with a comprehensive understanding of statistical theory, methods, and applications. This program prepares students for careers in various fields such as finance, healthcare, government, and academia, where statistical analysis and data interpretation are essential. With a strong emphasis on mathematical rigor, critical thinking, and practical skills, Queen's Statistics program equips graduates with the tools and knowledge needed to address real-world problems and make informed decisions based on data.
Curriculum: The curriculum for the Bachelor of Science (Honours) in Statistics at Queen's University covers a wide range of topics, including probability theory, mathematical statistics, regression analysis, experimental design, and data mining. Core courses provide students with a solid foundation in statistical principles and methods, while elective courses allow them to specialize in areas such as time series analysis, Bayesian statistics, or statistical computing. The program also emphasizes hands-on learning through projects, case studies, and internships, enabling students to apply statistical techniques to real-world data sets and gain practical experience in data analysis.
Research Focus: Queen's University is home to a vibrant research community in statistics, with faculty members conducting cutting-edge research in areas such as biostatistics, econometrics, machine learning, and Bayesian inference. Students in the Bachelor of Science (Honours) program have the opportunity to engage in research projects under the supervision of faculty members, gaining valuable research experience and contributing to advancements in the field. Research opportunities may include analyzing data from clinical trials, developing predictive models for financial markets, or investigating methods for analyzing high-dimensional data.
Industry Engagement: Queen's University maintains strong connections with industry partners in sectors such as finance, healthcare, technology, and government, providing students with opportunities for internships, co-op placements, and industry-sponsored projects. The university's location in Ontario, a hub for finance and technology industries, offers students access to a wide range of internship and job opportunities in the private and public sectors. Industry professionals often collaborate with faculty members on research projects or serve as guest lecturers, ensuring that the curriculum remains relevant to the needs of the industry.
Global Perspective: The Bachelor of Science (Honours) in Statistics program at Queen's University emphasizes the importance of a global perspective in statistical analysis and data interpretation. The program offers international exchange programs and study abroad opportunities, allowing students to gain cross-cultural experiences and explore how statistical methods are applied in different countries and regions. Additionally, Queen's Statistics Society and other student organizations organize events, conferences, and seminars that promote global awareness and collaboration among students from diverse backgrounds.
Kingston
IELTS 6.5
CAD 54908
ENTRY REQUIREMENTS for International Students:
Application Fees: 261
Academic Requirements: International students should have a minimum overall average of 75% or equivalent in their previous academic studies. This percentage may vary depending on the specific program and competition.
English Language Proficiency:
Queen's University in Canada offers a range of scholarships and financial aid options to support international students in their academic pursuits. These scholarships are designed to recognize academic excellence, promote diversity, and provide assistance to students with financial need.
International Admission Scholarships: Queen's University offers automatic scholarships to international students who are admitted to undergraduate programs. These scholarships are awarded based on academic achievement and vary in value. Eligibility and specific scholarship amounts are determined by the student's admission average or equivalent academic qualifications.
Major Admission Awards: Queen's University also offers prestigious scholarships to exceptional international students entering their first year of undergraduate studies. These awards are highly competitive and recognize academic excellence, leadership, and community involvement. Eligible students are automatically considered for these scholarships during the admissions process.
In-Course Scholarships: Queen's University provides scholarships to current undergraduate international students who have demonstrated outstanding academic performance during their studies. These scholarships are typically awarded based on specific criteria, such as GPA or departmental recommendations.
External Scholarships: Queen's University encourages international students to explore external scholarship opportunities, such as government scholarships, international exchange programs, and sponsorships from their home countries. The university's website provides information and resources to assist students in finding external scholarship opportunities.
It is important to note that the availability, eligibility criteria, and application processes for scholarships may vary. Additionally, it is recommended to check specific eligibility requirements and deadlines for each scholarship, as they may vary depending on the scholarship program and level of study.
Graduates of the Bachelor of Science (Honours) in Statistics program at Queen's University have a wide range of career opportunities in diverse industries where statistical analysis and data interpretation are integral. Equipped with a strong foundation in statistical theory, methods, and practical skills, Queen's graduates are well-prepared for roles in fields such as finance, healthcare, government, technology, and academia.
Statistician/Data Analyst: Many graduates pursue careers as statisticians or data analysts, where they analyze data to uncover patterns, trends, and insights that inform decision-making processes. They work in industries such as finance, marketing, healthcare, and government, using statistical techniques to analyze market trends, assess risk, and improve organizational efficiency.
Actuary: Graduates with a strong background in statistics may choose to pursue careers as actuaries, where they assess and manage risk for insurance companies, financial institutions, and consulting firms. They use statistical models to analyze data on mortality, morbidity, and other risk factors to develop pricing strategies and financial projections.
Quantitative Analyst (Quant): Quantitative analysts, or quants, use mathematical and statistical models to analyze financial markets, develop trading strategies, and manage investment portfolios. Graduates may work for hedge funds, investment banks, or asset management firms, applying their statistical expertise to optimize investment decisions and mitigate risk.
Biostatistician: In the healthcare industry, graduates may work as biostatisticians, conducting statistical analyses of medical data to support clinical trials, epidemiological studies, and healthcare policy research. They collaborate with healthcare professionals, researchers, and pharmaceutical companies to design studies, analyze data, and interpret results.
Data Scientist: Data scientists collect, process, and analyze large datasets to extract insights and inform business decisions. Graduates may work for technology companies, e-commerce platforms, or startups, using statistical techniques and machine learning algorithms to develop predictive models, recommend personalized products, and optimize customer experiences.
Market Research Analyst: Market research analysts gather and analyze data on consumer preferences, market trends, and competitor behavior to help companies make informed marketing and strategic decisions. Graduates may work for market research firms, advertising agencies, or consumer goods companies, conducting surveys, analyzing data, and presenting findings to clients.
Academic Researcher/Educator: Some graduates choose to pursue careers in academia or research institutions, where they conduct research, publish scholarly articles, and teach courses in statistics or related fields. They contribute to advancements in statistical theory and methodology through research projects and mentor the next generation of statisticians and data scientists.