Bachelor of Commerce (BComm)
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Bachelor of Science ( Honours ) - Mathematics and Statistics
Kingston
INTAKE: September
Program Overview
The Bachelor of Science (Honours) in Mathematics and Statistics program at Queen's University offers students a rigorous education in both mathematics and statistics, providing them with a solid foundation in theoretical principles and practical applications. This interdisciplinary program equips students with the analytical skills, problem-solving abilities, and quantitative reasoning needed to excel in a wide range of fields, including finance, economics, data science, and academia. With a focus on both theoretical understanding and practical skills development, the Mathematics and Statistics program at Queen's prepares graduates for successful careers in diverse industries and for further academic pursuits.
Curriculum: The curriculum for the Bachelor of Science (Honours) in Mathematics and Statistics program at Queen's University covers a comprehensive range of topics in both mathematics and statistics. Core courses include calculus, linear algebra, probability theory, statistical methods, mathematical modeling, and advanced topics in mathematics and statistics. Students also have the opportunity to choose elective courses according to their interests, such as applied mathematics, mathematical finance, data analysis, or actuarial science. The program emphasizes hands-on learning through problem-solving exercises, mathematical modeling projects, and statistical analysis tasks, allowing students to apply theoretical concepts to real-world problems and develop practical skills relevant to their future careers.
Research Focus: Queen's University is renowned for its research excellence in mathematics and statistics, with faculty members conducting cutting-edge research in areas such as pure mathematics, applied mathematics, probability theory, statistical modeling, and data science. Students in the Bachelor of Science (Honours) in Mathematics and Statistics program have the opportunity to engage in research activities under the supervision of faculty members, gaining valuable research experience and contributing to advancements in the field. Research opportunities may include conducting independent research projects, participating in research seminars and workshops, or collaborating with faculty members on ongoing research initiatives.
Industry Engagement: Queen's University maintains strong connections with industry partners in sectors such as finance, insurance, technology, and government, providing students with opportunities for internships, co-op placements, and industry-sponsored projects. The university's location in Kingston, Ontario, offers students access to a vibrant job market with numerous opportunities for employment in industries that require strong quantitative and analytical skills. Industry professionals often contribute to the curriculum through guest lectures, workshops, and collaborative projects, ensuring that graduates are well-prepared for the demands of the workforce.
Global Perspective: The Bachelor of Science (Honours) in Mathematics and Statistics program at Queen's University emphasizes the importance of a global perspective in mathematics and statistics. The program offers international exchange programs, study abroad opportunities, and collaborative research projects with international partners, allowing students to gain cross-cultural experiences and explore mathematical and statistical practices in different countries and regions. Additionally, Queen's Mathematics and Statistics Society and other student organizations organize events, conferences, and competitions that promote global awareness and collaboration among students from diverse backgrounds.
Location
Kingston
Score
IELTS 6.5
Tuition Fee
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:
- IELTS: An overall band score of 6.5, with no individual band score less than 6.
- TOEFL: A minimum score of 88 on the internet-based test (iBT).
- PTE: A minimum score of 60 on the Pearson Test of English.
- DET: A minimum score of 110 on the Duolingo English Test.
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 Mathematics and Statistics program from Queen's University possess a diverse skill set that opens up numerous career opportunities in various industries. With a strong foundation in mathematical theory, statistical analysis, and data interpretation, Queen's graduates are well-equipped to pursue roles that require advanced quantitative skills, analytical thinking, and problem-solving abilities.
Data Analyst: Many graduates choose to work as data analysts, where they are responsible for collecting, analyzing, and interpreting data to inform decision-making and solve complex problems. They work in industries such as finance, healthcare, marketing, and technology, using statistical methods and mathematical models to extract insights from data and drive business outcomes.
Actuary: Actuaries assess and manage financial risks for insurance companies, pension funds, and other financial institutions. They use mathematical models and statistical techniques to analyze data, evaluate risk factors, and determine insurance premiums, pension contributions, and investment strategies.
Quantitative Analyst (Quant): Quantitative analysts, or quants, work in finance and investment firms, developing mathematical models and algorithms to analyze financial markets, price derivatives, and manage investment portfolios. They use advanced statistical methods and computational techniques to forecast market trends and optimize trading strategies.
Statistician: Statisticians design and conduct statistical studies to analyze data and draw meaningful conclusions. They work in industries such as government, healthcare, education, and market research, providing expertise in survey design, experimental design, data analysis, and statistical modeling.
Operations Research Analyst: Operations research analysts use mathematical and statistical techniques to optimize decision-making and improve efficiency in complex systems and processes. They work in industries such as logistics, transportation, supply chain management, and manufacturing, developing models and algorithms to solve optimization problems.
Financial Analyst: Financial analysts analyze financial data, market trends, and economic indicators to provide insights and recommendations for investment decisions. They work in financial institutions, investment firms, and corporate finance departments, conducting financial modeling, risk assessment, and valuation analysis.
Data Scientist: Data scientists combine skills in mathematics, statistics, and computer science to analyze large datasets and extract actionable insights. They work in industries such as technology, healthcare, e-commerce, and telecommunications, using machine learning, data mining, and predictive analytics to solve business problems and drive innovation.
Research Scientist: Research scientists conduct research in academic institutions, government agencies, and private research laboratories, exploring new theories, developing mathematical models, and advancing knowledge in mathematics, statistics, and related fields. They may work on projects in areas such as mathematical physics, theoretical computer science, or applied statistics.
Educator: Some graduates pursue careers in education, teaching mathematics and statistics at the secondary school or post-secondary level. They work in schools, colleges, and universities, educating students and fostering a passion for mathematics and statistics through classroom instruction, curriculum development, and research.
Consultant: Many graduates choose to work as consultants, providing specialized expertise and advisory services to companies and organizations in various industries. They may offer consulting services in areas such as data analysis, risk assessment, financial modeling, or operations research, helping clients make informed decisions and solve complex problems.
