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

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 is meticulously designed to address the growing demand for skilled professionals in business analytics and artificial intelligence (AI). This program equips students with cutting-edge expertise and practical knowledge, emphasizing the development, evaluation, refinement, and implementation of AI-powered analytics solutions to transform data into actionable insights, driving business innovation and success. By joining the Sobey MBAN program, you gain a distinctive opportunity to integrate advanced analytics and AI capabilities with a focus on real-world applications.

What sets the MBAN program apart is its exceptional value for professionals aiming to excel in the fast-paced, AI-driven business landscape. A unique feature of the program is its dual credential, which includes a Graduate Diploma in Health Data Analytics ( with link)  at no additional cost. Additionally, students who meet specified academic and professional criteria are eligible for an 8-month paid internship, offering hands-on experience with AI-driven tools and methodologies, strengthening their expertise and establishing a solid foundation for a successful career in business analytics and AI.

The MBAN program seamlessly integrates and emphasizes the following core competencies:
  • Business Analytics and AI: Mastery of descriptive, predictive, and prescriptive analytics, alongside cutting-edge artificial intelligence techniques.
  • 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 is meticulously designed to address the growing demand for skilled professionals in business analytics and artificial intelligence (AI). This program equips students with cutting-edge expertise and practical knowledge, emphasizing the development, evaluation, refinement, and implementation of AI-powered analytics solutions to transform data into actionable insights, driving business innovation and success. By joining the Sobey MBAN program, you gain a distinctive opportunity to integrate advanced analytics and AI capabilities with a focus on real-world applications.

What sets the MBAN program apart is its exceptional value for professionals aiming to excel in the fast-paced, AI-driven business landscape. A unique feature of the program is its dual credential, which includes a Graduate Diploma in Health Data Analytics ( with link)  at no additional cost. Additionally, students who meet specified academic and professional criteria are eligible for an 8-month paid internship, offering hands-on experience with AI-driven tools and methodologies, strengthening their expertise and establishing a solid foundation for a successful career in business analytics and AI.

The MBAN program seamlessly integrates and emphasizes the following core competencies:
  • Business Analytics and AI: Mastery of descriptive, predictive, and prescriptive analytics, alongside cutting-edge artificial intelligence techniques.
  • 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

92+
6.5+
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.

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

Domestic
36,890 CAD
International
52,960 CAD

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