Business Analytics and AI (Master's program)
Introduction
Business Analytics and AI (Master's program) is a Masters program taught at Ontario Tech University, Canada. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
The Master's program in Business Analytics and AI at Ontario Tech University equips students with essential skills to analyze complex data and implement AI-driven solutions in various business environments. The curriculum covers a wide array of topics including data mining, predictive analytics, machine learning, and data visualization, allowing students to understand how to leverage AI technologies to drive strategic business decisions.
This program integrates both theoretical foundations and practical applications, with hands-on projects and case studies that simulate real-world challenges. Students will engage with leading experts in the field, gaining insights into the latest advancements in technology and their implications for the business landscape.
Through this program, students will develop critical thinking, analytical reasoning, and technical skills, preparing them to tackle data-driven challenges. Studying in Ontario provides access to a vibrant business community and networking opportunities, allowing students to grow within a diverse and innovative environment.
Admission Requirements
The minimum requirements for admission in Business Analytics and AI (Master's program) at Ontario Tech University for all applicants (Domestic or International) are:
- program specific academic requirment set by Ontario Tech University.
- English Language OR any other language requirments as set by Ontario Tech University as pre-requiste for admission in Business Analytics and AI (Master's program).
Note: Please check the university website in the link below.
Applicants typically must hold a bachelor's degree in a related field such as business, computer science, engineering, or mathematics. A strong foundation in quantitative methods, programming skills, and statistics is highly desirable. Additionally, relevant professional experience may be beneficial and will be taken into consideration during the admissions process.
International students are expected to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. A minimum overall score, with specific requirements for each section, is generally necessary to ensure students are adequately prepared for academic success.
Courses Units
Please check detail of study units at https://ontariotechu.ca/academics/programs/index.php
More Information
- Data Analyst
- Business Intelligence Consultant
- Data Scientist
- Machine Learning Engineer
- Operations Research Analyst
- Marketing Analyst
- AI Project Manager
- Financial Analyst
Scholarships
51 fully funded scholarships are listed for Canada. See Canada scholarships.