Program Overview

Master of Artificial Intelligence and Business Analytics

The Master of Artificial Intelligence and Business Analytics (MAIBA) at Cape Breton University is a 16-month program designed to prepare students for a world where AI, machine learning, and advanced analytics are reshaping every industry. This program blends cutting-edge technology with business insight, sustainability principles, and Indigenous perspectives to develop future-ready professionals.

Program Overview

The MAIBA program is built for a world where organizations need to turn massive data into meaningful insights. It prepares students to lead with the technical, analytical, and ethical skills needed in today's data-driven global economy.

Admission Requirements

• Four (4) year undergraduate degree (or equivalent) from a recognized or accredited university in science, mathematics, computer science, business, economics, or engineering.
• Minimum grade point average (GPA) of 3.0 (73-76%) or B in the final 60 credits of study.
• Successful completion of a statistics course with at least 70% final grade.
• Applicants who do not meet standard academic criteria may be considered for admission based on GMAT scores and/or professional experience, as outlined on a CV.

Program Duration and Fields of Study

• Program Duration: 16 months.
• Fields of Study: Artificial Intelligence, Business, Business Analytics.

Program Start Date

The program starts in September 2026 and is offered in-person on the CBU campus.

Tuition Fees

Program Delivery and Structure

The MAIBA is offered in-person on CBU's campus, with both full-time (16-months) and part-time options available. In the final study semester, students can choose between completing a 420-hour internship or a Master's project to complete their degree.

Skills Gained

• Data analysis, visualization, and enterprise technology use.
• Predictive modeling and practical machine learning.
• Applied AI and AI ethics in technology.
• Sustainability and supply-chain analytics grounded in Indigenous principles.
• Research, writing, and critical-thinking skills.
• Optimization, analytics, and decision-making under uncertainty.

Potential Careers

• Business Analyst.
• Machine Learning Engineer.
• AI Specialist.
• Public Sector Data Analyst.

Faculty

The program is supported by expert faculty from the Shannon School of Business, including:

• Cynthia Vokey, Director, MBA and Other Graduate Programs.
• Jamileh Yousefi, Associate Professor, SSOB - Management Science.
• Sahand Ashtab, Associate Professor, SSOB - Management Science.
• Rafiqul Chowdhury, Assistant Professor, SSOB - Management Science.
• Samiul Islam, Assistant Professor, SSOB - Management Science.
• Enayat Rajabi, Associate Professor, SSOB - Management Science.
• Stacey Taylor, Assistant Professor, SSOB - Management Science.