Master of Business Analytics (MBAN) Postgraduate Programme By Sobey School of Business - Saint Mary's University |TopUniversities
Programme Duration

16 monthsProgramme duration

Tuitionfee

52,960 CADTuition Fee/year

Application Deadline

30 Apr, 2026Application Deadline

Main Subject Area

Business AnalyticsMain Subject Area

Programme overview

Main Subject

Business Analytics

Degree

Other

Study Level

Masters

Study Mode

On Campus

The Master of Business Analytics (MBAN) program at the Sobey School of Business is purposefully designed to meet the rising demand for professionals with expertise in business analytics and artificial intelligence (AI). This future-focused program provides students with the technical skills and applied knowledge to design, evaluate, and implement AI-powered analytics solutions—turning data into actionable insights that drive innovation and business success.

By joining the Sobey MBAN program, students gain a unique opportunity to develop advanced analytics and AI capabilities with a strong emphasis on real-world impact and business application.

The MBAN program provides exceptional value to professionals seeking to thrive in the dynamic and rapidly evolving field of AI-powered strategies. A key differentiator of the program is its dual credential, which includes a Graduate Certificate in Health Data Analytics at no additional cost. Additionally, qualified students may be eligible for an 8-month paid internship, providing immersive experience with industry tools, complex data challenges, and high-impact projects—building deep expertise and advancing their careers.

Recognized as one of the top programs in Canada and North America, the Sobey MBAN delivers a comprehensive and integrated curriculum that blends data, technology, modeling, analytics, and AI to solve real-world business problems. The program emphasizes the following core competencies:

  • Business Analytics and AI: Mastery of descriptive, predictive, and prescriptive analytics, alongside cutting-edge AI techniques including Agentic AI.
  • Technical Proficiency: Advanced programming skills, proficiency in computer languages, and expertise in 2D and 3D data visualization.
  • Data Governance: A comprehensive understanding of data governance, security, and privacy principles to ensure responsible and secure data management.
  • Business Acumen: Development of strategic business knowledge and managerial skills essential for making data-driven decisions.
  • Ethical and Responsible Leadership: Commitment to ethical practices, evidence-based management, and responsible research methodologies.

Programme overview

Main Subject

Business Analytics

Degree

Other

Study Level

Masters

Study Mode

On Campus

The Master of Business Analytics (MBAN) program at the Sobey School of Business is purposefully designed to meet the rising demand for professionals with expertise in business analytics and artificial intelligence (AI). This future-focused program provides students with the technical skills and applied knowledge to design, evaluate, and implement AI-powered analytics solutions—turning data into actionable insights that drive innovation and business success.

By joining the Sobey MBAN program, students gain a unique opportunity to develop advanced analytics and AI capabilities with a strong emphasis on real-world impact and business application.

The MBAN program provides exceptional value to professionals seeking to thrive in the dynamic and rapidly evolving field of AI-powered strategies. A key differentiator of the program is its dual credential, which includes a Graduate Certificate in Health Data Analytics at no additional cost. Additionally, qualified students may be eligible for an 8-month paid internship, providing immersive experience with industry tools, complex data challenges, and high-impact projects—building deep expertise and advancing their careers.

Recognized as one of the top programs in Canada and North America, the Sobey MBAN delivers a comprehensive and integrated curriculum that blends data, technology, modeling, analytics, and AI to solve real-world business problems. The program emphasizes the following core competencies:

  • Business Analytics and AI: Mastery of descriptive, predictive, and prescriptive analytics, alongside cutting-edge AI techniques including Agentic AI.
  • Technical Proficiency: Advanced programming skills, proficiency in computer languages, and expertise in 2D and 3D data visualization.
  • Data Governance: A comprehensive understanding of data governance, security, and privacy principles to ensure responsible and secure data management.
  • Business Acumen: Development of strategic business knowledge and managerial skills essential for making data-driven decisions.
  • Ethical and Responsible Leadership: Commitment to ethical practices, evidence-based management, and responsible research methodologies.

Admission Requirements

6.5+
92+
3+
  • Undergraduate degree from an accredited university with strength in mathematics, computer science, business, economics, engineering, or science. Including at least one mathematics or statistics course that covers hypothesis testing and regression.
  • At least a B average (3.0 GPA) or equivalent in the final 60 credit hours of the undergraduate degree.
  • Strong English language proficiency is important for success in the program. Applicants to this program, whose first language is not English, must demonstrate their English language proficiency as outlined in the Graduate Academic Regulation 1e with the following additional requirement; a. a TOEFL (iBT) score of at least 92 with no band below 20; or b. an IELTS score of at least 6.5, with no band below 6.0.
  • Relevant work experience is desired. Applicants will submit an up-to-date curriculum vitae, indicating relevant working experiences.
  • Two (2) recommendations
  • An interview may be required for further assessment, so applicants must agree to a virtual and/or in-person interview. The program will contact applicants if this is required.

30 Apr 2026
16 Months
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic
36,890 CAD
International
52,960 CAD

Scholarships

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