MBA - Business Analytics University of Canada West

Program Description

The Specialization in Business Analytics is supported by certifications in Microsoft Azure (Azure AI-900: Azure AI fundamental certification and Azure DP-900: Azure Data Fundamentals) and Amazon AWS (AWS Certified Cloud Practitioner certificate) and stands out by emphasizing real-time, data-driven decision-making through partnerships with leading Canadian businesses, offering students access to proprietary datasets and cutting-edge tools. The program incorporates interdisciplinary perspectives, fostering collaboration with experts from diverse industries. Additionally, it provides a strong support network for students, ensuring smooth integration into the Canadian job market and developing future leaders in data-driven business innovation. Three courses: BUSI 651 – Machine Learning Tools and Techniques Students explore the world and models of machine learning and how to use best practices with data to help the learning algorithm find patterns to map the target attributes. Students consider different patterns in outputs to discover if the machine learning model can predict new data sets of potential new targets. Prerequisite: Completion of 15 credits including BUSI 650. BUSI 652 – Predictive Analytics: What Works? Students explore the architecture of machine learning and how they can use strategic business decision-making to align machine learning technologies to help the organization meet its goals. The course takes a ‘client’ business approach where students analyze data and potential applications of machine learning and analytics to help to achieve strategic goals. Prerequisite: Completion of 24 credits including BUSI 650. BUSI 653 – Cloud Computing Technologies Organizations across the globe are increasingly moving to the cloud. Students investigate cloud technology, best practices and economics, and the rewards and risks of this rush to the cloud. They adapt and design cloud computing solutions for business challenges, explore the fundamentals of cloud computing, and build the foundational knowledge required for understanding and applying cloud computing from both practitioner and business perspectives. Cloud computing essentials, history, emerging trends, the business case for cloud computing, cloud service models, deployment models and the key components of Cloud architecture are covered. Students review emerging trends in the cloud such as Hybrid Multi-cloud, Microservices, Serverless, Cloud Native, DevOps, Cloud Security Basics and Application Modernization. Prerequisite: Completion of 24 credits.

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