Program overview
Admission Requirements
Intakes
Program overview

Program overview

The Bachelor of Science (Honours) - Mathematics - Upper Year Entry (QSA) is designed for students who wish to deepen their understanding of mathematics and its applications. This program emphasizes logical thinking, analytical skills, and problem-solving abilities, preparing graduates for a variety of career paths. The curriculum offers flexibility, allowing students to explore various areas of mathematics, including pure and applied mathematics, statistics, and interdisciplinary studies. This comprehensive approach ensures that students are well-equipped to tackle complex mathematical challenges in their future careers.

Program structure

The Bachelor of Science (Honours) - Mathematics - Upper Year Entry (QSA) program is structured to provide a robust educational experience over a period of three years. Students will engage in a variety of learning experiences that include:

  • Core mathematics courses that cover essential theories and applications.
  • Elective courses that allow for specialization in areas of interest.
  • Opportunities for internships through the Queen’s Undergraduate Internship Program (QUIP), enhancing practical experience.

This program is designed to be flexible, enabling students to tailor their studies to fit their career aspirations and interests. The combination of theoretical knowledge and practical application prepares graduates for success in various fields.

Featured Experiences

  • Internship opportunities through the Queen’s Undergraduate Internship Program (QUIP), providing real-world experience.
  • Access to specialized courses in areas such as Mathematics and Physics, Mathematics and Computer Science, and Mathematics and Biology.
  • Engagement in collaborative projects and research initiatives that enhance learning and application of mathematical concepts.
  • Participation in seminars and workshops that foster a deeper understanding of current mathematical research and trends.

Career Options

  • Actuarial Scientist: Analyzes financial risks using mathematics, statistics, and financial theory to study uncertain future events.
  • Data Scientist: Utilizes statistical analysis and machine learning to interpret complex data and provide actionable insights.
  • Software Developer: Designs and develops software applications, often requiring strong mathematical and analytical skills.
  • Quantitative Analyst: Applies mathematical models to financial and risk management problems, often in investment banks or hedge funds.
  • Statistician: Collects, analyzes, and interprets data to help solve real-world problems in various industries.

 

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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