Master of Data Science (MDS)

Program overview

Prepare for an advanced career in data analytics, machine learning, visualization, and more with the Master of Data Science (MDS) program offered at New York Tech-Vancouver. This two-year graduate program is designed for individuals with a bachelor’s degree in computer science, engineering, management, information technology, or related fields. Students can choose to complete the program either in-person or online, providing flexibility to accommodate different learning preferences. The MDS program emphasizes hands-on, practice-oriented learning, equipping graduates with the skills necessary to excel in various industries, including telecommunications, healthcare, finance, and more.

Program structure

The Master of Data Science (MDS) program at New York Tech-Vancouver is structured to provide a comprehensive educational experience over a two-year period of full-time study. Students have the option to choose between two delivery methods:

• Traditional face-to-face courses at New York Tech’s Vancouver campus
• Online asynchronous courses (available for Canadian citizens or permanent residents only)

Additionally, students can select from two paths to complete the program:

• Course-based: 21 mandatory credits, 6 elective credits, and 3 credits for a project
• Thesis-based: A mix of 24 credits of mandatory and elective courses, along with 6 credits for a thesis

This program is designed to be highly interactive and practice-oriented, ensuring that students gain the necessary skills to thrive in the data science field. The state-of-the-art facilities at the Broadway Tech Centre campus in Vancouver provide an ideal learning environment, complemented by career planning services to support students' professional growth.

Featured Experiences

The Master of Data Science (MDS) program offers several unique features that enhance the educational experience:

• Co-Op Work Experience: The co-op program provides academic credit for paid, structured job experiences, allowing students to alternate school terms and summers with work periods. This partnership with employers enriches the educational journey.
• Hands-On Learning: The program emphasizes practical application of data science concepts, preparing students for real-world challenges.
• Interactive Environment: Students engage in a highly interactive educational experience, fostering collaboration and teamwork.
• Career Services: Comprehensive career planning services are available to assist students in navigating their professional paths.

Career Options

Graduates of the Master of Data Science (MDS) program can pursue a variety of career opportunities in Canada, including:

• Chief Data Officer: Responsible for overseeing data management strategies and ensuring data governance across the organization.
• Data Scientist: Analyzes complex data sets to derive insights and inform business decisions, utilizing statistical methods and machine learning techniques.
• Data Solutions Architect: Designs and implements data solutions that meet the needs of the organization, ensuring data integrity and accessibility.
• Business Manager: Utilizes data analytics to drive business strategies and improve operational efficiency within the organization.
• Business Architect: Focuses on aligning business strategies with data-driven insights, facilitating organizational change and innovation.

The demand for data scientists is on the rise, with the data science market in Canada expected to grow significantly in the coming years, making this an excellent time to enter the field.

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