Ontario Tech University · Canada

Bachelor's in Data Science

Campus Bachelor Full Time

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Delivery

Campus

Study mode

Full Time

Level

Bachelor

Starts

Fall, Spring

Introduction

Data Science is a Bachelor program taught at Ontario Tech University, Canada. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.

The Bachelor's Degree in Data Science at Ontario Tech University offers an interdisciplinary approach that blends mathematics, statistics, computer science, and domain expertise to provide students with a comprehensive understanding of data analysis and interpretation. The program covers various aspects of data science including data mining, machine learning, data visualization, and big data analytics, equipping students with the technical knowledge and practical skills needed to thrive in the data-driven world.

Students typically engage in a well-structured curriculum that emphasizes both theoretical foundations and hands-on experience. The coursework includes collaborative projects and opportunities for real-world applications through internships or co-op placements. This ensures that graduates are not only proficient in data science techniques but also have the soft skills necessary to work effectively in teams.

Studying data science in Canada, particularly at Ontario Tech University, allows international students to experience a diverse and inclusive educational environment. Canada is known for its innovation and technological advancements, making it an ideal place for students aiming to enter the data science field. Access to leading experts, industry partnerships, and cutting-edge research enhances the student's learning experience.

Admission Requirements

The minimum requirements for admission in Data Science 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 Data Science.

Note: Please check the university website in the link below.

A typical applicant should have a strong academic background in mathematics and science. High school diplomas with advanced courses in calculus, statistics, and computer science are favorable. Additional skills in programming languages such as Python or R are advantageous but not mandatory, as the program is designed to teach these skills.

Applicants are generally expected to demonstrate proficiency in English, typically through IELTS or TOEFL scores. For IELTS, a minimum overall band of around 6.5 is often required, while for TOEFL, a total score of approximately 80 to 90 is usual, depending on the specific requirements of the program.