Last updated on 2025-04-25
Program Overview
The Master of Information Technology - Data Science, Analytics, and Artificial Intelligence (DSAAI) is a comprehensive program designed to equip students with the technical skills necessary for a successful career in data science. This program is a natural extension of the popular Collaborative Specialization in Data Science and focuses on the technical aspects of data science, offering opportunities for groundbreaking research in various methodologies such as statistics, AI methods, and software engineering. Students will engage with the collection, preprocessing, exploration, and visualization of data, preparing them for the evolving landscape of data analytics.
Program Structure
The Master of Information Technology - Data Science, Analytics, and Artificial Intelligence program is structured to provide a robust educational experience over a 2-year period. Key features of the program include:
- Joint program between the Faculty of Science and Faculty of Engineering and Design, offering a wide disciplinary breadth.
- Experiential learning opportunities through a Co-op program.
- Pathway options including Coursework, Research Project, and Thesis, depending on the chosen program.
- Entry terms available in the Fall.
This structure ensures that students gain both theoretical knowledge and practical experience, preparing them for the demands of the data science field.
Featured Experiences
- Co-op opportunities that provide real-world experience in the data science field.
- Interdisciplinary approach, allowing students to gain insights from various academic units.
- Focus on advanced research methodologies in data mining, predictive analytics, and machine learning.
- Access to cutting-edge data analytics platforms and parallel processing techniques.
Career Options
Graduates of the Master of Information Technology - 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 that enable machines to learn from and make predictions based on data.
- Business Intelligence Analyst: Transform data into insights that drive business growth and efficiency.
- Data Engineer: Design and maintain the architecture that allows for the collection and processing of data.
These roles require strong analytical skills and the ability to communicate findings effectively, making the DSAAI program an excellent foundation for a successful career in data science and analytics.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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