Program overview
Admission Requirements
Intakes

Last updated on 2025-11-12

Program overview

Program Overview

The Bachelor of Science in Computer Science with a specialization in Data Analytics (Honours) at Trent University is designed to equip students with the essential skills and knowledge needed in the rapidly evolving field of data analytics. This program emphasizes a strong foundation in computer science principles while focusing on data analysis techniques, preparing graduates for a variety of career opportunities in technology and data-driven industries. Students will engage in hands-on learning experiences that foster critical thinking and problem-solving abilities, making them well-prepared for the challenges of the modern workforce.

Program Structure

The Bachelor of Science - Computer Science - Data Analytics (Honours) program is structured to provide a comprehensive education in both theoretical and practical aspects of computer science and data analytics. Key details of the program include:

  • Program Length: Typically completed in four years.
  • Credits: The program requires the completion of a specified number of credits, which includes core courses, electives, and a capstone project.
  • Options: Students may have opportunities for co-op placements or internships, allowing them to gain valuable real-world experience.

This program is designed to be flexible, accommodating various learning styles and career aspirations, ensuring that students receive a well-rounded education in data analytics.

Featured Experiences

  • Hands-on learning through practical projects and labs.
  • Opportunities for co-op placements to gain industry experience.
  • Access to state-of-the-art technology and resources for data analysis.
  • Collaboration with industry partners for real-world problem-solving.
  • Participation in research projects that enhance learning and innovation.

Career Options

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

  • Data Analyst: Analyze data sets to identify trends and insights that inform business decisions.
  • Business Intelligence Analyst: Develop strategies to improve business performance through data-driven insights.
  • Data Scientist: Utilize statistical methods and machine learning techniques to interpret complex data and solve problems.
  • Software Developer: Design and implement software solutions that meet user needs and enhance data processing capabilities.
  • Database Administrator: Manage and maintain databases, ensuring data integrity and security while optimizing performance.

 

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

Visit Trent University official website