University of Calgary · Alberta, 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 University of Calgary, Alberta, Canada. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.

Course Overview

The Bachelor's Degree in Data Science at the University of Calgary is designed to equip students with the essential knowledge and technical skills required in the rapidly evolving field of data analysis. The curriculum is carefully structured to cover various areas, including statistics, machine learning, data visualization, and programming. Through hands-on projects and real-world applications, students engage with data from various sources to unearth meaningful insights and solutions.

The program provides a blend of theoretical knowledge and practical experience. Students will learn to use cutting-edge tools and technologies to manage and analyze large datasets. They will work collaboratively on projects, honing their problem-solving and critical-thinking skills. The university also emphasizes the importance of ethics and the social implications of data applications.

Studying Data Science in Canada presents unique opportunities for international students. The vibrant tech industry in Calgary, combined with a supportive learning environment, allows students to immerse themselves in the landscape of innovation and entrepreneurship. This exposure is crucial for building a successful career in data science.

Admission Requirements

The minimum requirements for admission in Data Science at University of Calgary for all applicants (Domestic or International) are:

program specific academic requirment set by University of Calgary.
English Language OR any other language requirments as set by University of Calgary as pre-requiste for admission in Data Science.

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

Entry Requirements

Applicants are typically required to have completed secondary education with a strong emphasis on mathematics and science. A solid academic record in relevant subjects, such as calculus, computer science, and statistics, is essential. Additionally, prospective students should demonstrate analytical and problem-solving capabilities, as these skills are crucial in the field of data science.

English Requirements

Students must demonstrate proficiency in English, often necessitating a minimum IELTS score of 6.5 with no band below 6.0 or an equivalent TOEFL score. It is advisable for applicants to review the specific language requirements of the university to ensure they meet the necessary criteria for admission.