Program overview
Admission Requirements
Intakes

Last updated on 2025-04-24

Program overview

Program Overview

The Master of Science in Data Science, Analytics, and Artificial Intelligence (DSAAI) is designed to provide students with a comprehensive understanding of the technical aspects of data science. This program is a natural extension of the popular Collaborative Specialization in Data Science, focusing on interdisciplinary approaches. Students will engage in groundbreaking research across various methodologies, including statistics, AI methods, and software engineering. The program emphasizes the collection, preprocessing, exploration, and visualization of data from diverse sources, preparing graduates for a dynamic career in data science and analytics.

Program Structure

The Master of Science in Data Science, Analytics, and Artificial Intelligence program is structured to be completed in 2 years. It offers various pathways for students, including:

  • Coursework
  • Research Project
  • Thesis (depending on the program)

This program is offered in the Fall term, with an application deadline of February 1. A unique feature of the DSAAI program is the opportunity for students to participate in a Co-op experience, allowing them to gain practical skills and insights in real-world settings. The program is a collaborative effort between the Faculty of Science and the Faculty of Engineering and Design, providing a broad disciplinary perspective.

Featured Experiences

  • Co-op opportunities to gain hands-on experience in the field.
  • Interdisciplinary approach, combining insights from multiple academic units.
  • Focus on advanced research methodologies in data science and analytics.
  • Exposure to cutting-edge technologies and techniques in data mining, machine learning, and statistical analysis.
  • Access to a network of professionals in Ottawa's tech sector, enhancing career prospects.

Career Options

Graduates of the Master of Science in Data Science, Analytics, and Artificial Intelligence program can pursue a variety of career paths in Canada, including:

  • Data Scientist: Analyze complex data sets to derive actionable insights and inform business decisions.
  • Data Analyst: Utilize statistical tools to interpret data and provide reports that guide strategic planning.
  • Machine Learning Engineer: Develop algorithms and models that enable machines to learn from data and improve their performance over time.
  • Business Intelligence Analyst: Transform data into insights that drive business growth and operational efficiency.
  • Data Engineer: Design and maintain the architecture that allows for the collection and processing of large data sets.

 

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

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