Last updated on 2025-08-28
Program overview
UNB’s Master in Quantitative Investment Management (MQIM) is a unique graduate program designed to prepare students for specialized careers in quantitative investing. This innovative program combines essential elements of finance, economics, mathematics, data analysis, and coding, equipping graduates with the high-value skills necessary for success in the evolving investment management landscape. The MQIM program is structured to provide a rigorous and relevant curriculum, ensuring that students develop the professional skills demanded by the finance industry.
Program structure
The Master in Quantitative Investment Management (MQIM) program is a one-year graduate degree that begins in August and concludes the following August. The program is designed to provide students with:
- Fundamental finance knowledge
- Sophisticated analytic and programming skills
- An in-depth understanding of quantitative investing
- Practical skills and knowledge for establishing a high-paying career
Courses are taught by financial experts from both the investment industry and UNB faculty, ensuring that students receive a comprehensive education that is both theoretical and practical. The program also includes opportunities for professional development, enhancing leadership skills through hands-on sessions with industry experts.
Featured Experiences
- Weekly hands-on professional development sessions led by experts and award-winning faculty members.
- Strong industry connections through the Centre for Financial Studies, providing networking opportunities.
- Access to insights and mentorship from professionals in the investment management field.
- Collaboration with industry partners, enhancing real-world learning experiences.
Career Options
Graduates of the Master in Quantitative Investment Management (MQIM) program can pursue a variety of career paths in Canada, including:
- Analyst: Analyze financial data to provide insights and recommendations for investment decisions.
- Data Scientist: Utilize statistical methods and algorithms to interpret complex data sets and inform business strategies.
- Quantitative Analyst: Develop mathematical models to assess risk and optimize investment portfolios.
- Quantitative Developer: Create software tools and applications that support quantitative trading strategies.
- Risk Management Associate: Identify and mitigate financial risks within investment portfolios.
- Trading Associate: Support trading operations by analyzing market trends and executing trades.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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