Bachelor's Degree Full Time

Business Analytics and Artificial Intelligence

at Ontario Tech University · Oshawa, Ontario

Duration

4 years

Tuition

On request

Intake

Fall, Spring

Mode

Full Time

About this program

The Bachelor's Degree in Business Analytics and Artificial Intelligence at Ontario Tech University merges business acumen with advanced analytical and AI techniques. This interdisciplinary course covers a variety of topics including data analysis, machine learning, data visualization, and strategic decision-making. Students are equipped with the tools necessary to harness data effectively and derive meaningful insights to influence business operations. The curriculum is designed to provide a comprehensive understanding of how analytics and artificial intelligence can drive innovation in the business sector. Students will engage in hands-on learning through practical projects and case studies, which facilitate the application of theoretical knowledge to real-world scenarios. Topics such as predictive modeling and business intelligence are also included, preparing students for the demands of today's data-driven market. Throughout the course, students will develop critical thinking skills, problem-solving abilities, and a strong foundation in programming and statistical analysis. The diverse teaching methods, including group discussions and individual research projects, enhance teamwork and communication skills which are essential in any professional setting. Studying in Canada provides a unique opportunity to experience a multicultural environment that fosters global perspectives in business. Students will graduate with a unique blend of skills that are highly valued across multiple industries. The course encourages networking through collaborations with industry leaders and provides opportunities for internships, which are valuable for making professional connections and gaining practical experience.

Entry requirements

To enroll in the Bachelor's Degree in Business Analytics and Artificial Intelligence, applicants typically need to have completed secondary education with a strong emphasis on mathematics and computer science. Prerequisites may also include advanced-level courses in relevant subjects, along with a demonstrated interest in technology and business.

English: International students must demonstrate proficiency in English. Typically, an IELTS score of 6.5 or higher or a TOEFL score appropriate for admission would be required, with minimum scores in each component.

International students: International students are encouraged to check the official requirements for student visas, including necessary documents such as proof of acceptance, proof of financial support, and health insurance. Requirements can vary by country, so it's essential to consult the official immigration website for accurate information.

Career outcomes

<ul><li>Data Analyst</li><li>Business Intelligence Developer</li><li>Machine Learning Engineer</li><li>Operations Research Analyst</li><li>Marketing Analyst</li><li>Data Scientist</li><li>AI Consultant</li></ul>

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