Bachelor Of Science - Data Science (Honours) (RDT) at Trent University - Program overview

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Program overview

Admission Requirements

Intakes

Last updated on 2025-11-12

Program overview

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Program Overview

The Bachelor of Science - Data Science (Honours) program at Trent University is designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science. This program emphasizes a comprehensive understanding of data analysis, statistical methods, and computational techniques. Students will engage in hands-on learning experiences that prepare them for a variety of career paths in data-driven industries. With a focus on critical thinking and problem-solving, this program aims to transform students into proficient data scientists ready to tackle real-world challenges.

Program Structure

The Bachelor of Science - Data Science (Honours) program is structured to provide a robust educational foundation in data science. Key details include:

Program Length: Typically completed in four years.
Credits: The program requires a total of 120 credits for graduation.
Options: Students may have opportunities for co-op placements or internships to gain practical experience in the field.

This program is designed to be flexible, allowing students to tailor their studies to their interests and career goals. The curriculum is regularly updated to reflect the latest trends and technologies in data science, ensuring that graduates are well-prepared for the job market.

Featured Experiences

Hands-on learning through practical projects and case studies.
Opportunities for co-op placements to gain real-world experience.
Access to state-of-the-art laboratories and research facilities.
Collaboration with industry partners for joint projects and research initiatives.
Participation in workshops and seminars led by industry experts.

Career Options

Graduates of the Bachelor of Science - Data Science (Honours) program can pursue a variety of career paths in Canada, including:

Data Analyst: Responsible for interpreting complex data sets to help organizations make informed decisions.
Data Scientist: Utilizes statistical methods and machine learning techniques to analyze and interpret data, providing insights and solutions.
Business Intelligence Analyst: Focuses on analyzing data to improve business operations and strategies.
Machine Learning Engineer: Designs and implements machine learning models to automate data analysis processes.
Data Engineer: Develops and maintains the architecture and infrastructure for data generation and processing.

These roles are critical in various sectors, including technology, finance, healthcare, and marketing, making data science a highly sought-after field in today's job market.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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Last updated on 2025-11-12

Program overview

Academic Requirements

For students interested in the Bachelor of Science - Data Science (Honours) program, here are the Academic Requirements specifically for international students:

Minimum GPA: A minimum cumulative GPA of 2.0 (on a 4.0 scale) is required for admission.
For students from Vietnam:
- Minimum 7.0 average in Grade 12 (only academic courses are taken into average calculation).
- English language proficiency test results are normally required for direct admission to undergraduate studies. If you do not meet published English language proficiency requirements but you have the required academic average, you will be admitted through Trent-ESL: English for University.
For students from other Asian countries, similar requirements apply, including a minimum average in relevant academic courses and potential English language proficiency tests.
Transcripts may be required to be evaluated by WES in some cases.

It is important to note that students should apply as soon as possible to ensure they meet all necessary deadlines. For any clarification or support regarding the application process, please feel free to contact LOA Portal's advisors.

Language Requirements

At Trent University, it is essential for students to demonstrate proficiency in both spoken and written English. This proficiency is crucial for meeting the demands of classroom instruction, completing written assignments, and participating in tutorials and discussions.

Applicants whose first language is not English are typically required to provide proof of English proficiency through one of the following accepted tests:

TOEFL / TOEFL IBT / TOEFL IBT Special Home Edition: 86 IBT with a minimum writing score of 20.
IELTS: 6.5, with no band below 6.0.
The Duolingo English Test: 115 (Note: Duolingo is not accepted by the School of Graduate Studies at Trent, and is only applicable for Undergraduate applications).
CAEL | CAEL On-line (starting July 2020): 60.
Cambridge B2 First, C1 Advanced/C2 Proficiency (Certificate of Advanced English): 176, with no sub-score below 169.
Pearson PTE Academic In-person & Online: 59.
Trent Academic ESL Program: Academic English II with 75% in all courses.

It is important to note that English Language Proficiency requirements are subject to change without prior notice.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors. The listed minimum requirements are a guideline and do not guarantee admission. Do not worry, we will notify you of any changes during the application process.

Not meeting the minimum language requirements?

You may still be able to apply!