At Queen's University in Kingston, Canada, Master of Management Analytics is offered as a master's degree in Data Science & Analytics programme. The programme runs for 12 months.
At a glance
Degree:Master's Degree
Field:Data Science & Analytics
Duration: 12 months
We have no tuition fees or an application deadline on record for this programme yet — see the official programme page.
— it helps other students.
The Master of Management Analytics at Queen's University's Smith School of Business combines core data analytics training with business strategy and management education, preparing recent graduates and early-career professionals for analytics-focused careers. The program is completed in 12 months and is offered in two formats: an In-Person format with evening and weekend classes at SmithToronto, and a Blended format combining on-demand content and live online sessions with two week-long in-person intensives, held at the start and end of the program, at Smith facilities in Kingston and Toronto. Admission requires an undergraduate degree from an accredited institution, normally in a quantitative or analytical field such as business, computer science, economics, engineering, mathematics, or science, though applicants from other disciplines may also be considered. Applicants should have at least two years of relevant work experience, though exceptional applicants without it may be considered, and must show evidence of quantitative proficiency through prior coursework, professional experience, or technical training, along with foundational programming knowledge, as Python is used throughout the curriculum. Applicants whose undergraduate studies were not conducted in English must demonstrate English language proficiency.
Requirements
Admission Requirements: Admission requires an undergraduate degree from an accredited institution, normally in a quantitative or analytical field such as business, computer science, economics, engineering, mathematics, or science, though applicants from other disciplines may also be considered. At least two years of relevant work experience is expected, though exceptional applicants without it may be considered. Applicants must show evidence of quantitative proficiency through a B grade or higher in university-level quantitative coursework, relevant professional experience, or technical training, and must have foundational programming knowledge prior to the start of the program, as Python is used throughout the curriculum. Applicants whose first language is not English, and whose undergraduate studies were not conducted in English, must demonstrate English language proficiency, which cannot be waived.
