University of British Columbia Master of Data Science (MDS) Program Supplementary Application Guide
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University of British Columbia Master of Data Science (MDS) Program Overview
The UBC Master of Data Science (MDS) program is designed to bridge the gap in the growing demand for skilled data professionals. It provides students with technical expertise, hands-on experience, and the confidence to excel in the data-driven industry. Offered at both the Vancouver and Okanagan campuses, the program also includes a specialized MDS in Computational Linguistics at the Vancouver campus. With a strong emphasis on practical learning, the program equips students with the ability to analyze data, extract meaningful insights, and communicate findings effectively, empowering them to support informed decision-making in various industries.
University of British Columbia Master of Data Science (MDS) Supplementary Application Question Format
For the Master of Data Science – Vancouver program, a virtual interview is now a required step in the application process. After submitting the application, candidates will receive an email invitation with a link to record and submit their responses to several questions assessing their experience, motivation, and communication skills. Detailed instructions and deadlines will be provided in early February.
The interview consists of three questions:
- The first allows two recording attempts
- The second and third allow only one attempt each.
Applicants will have 30 seconds to prepare and 4 minutes to respond for each question.
University of British Columbia Master of Data Science (MDS) Supplementary Application Timeline / Deadline
- September 2025 intake - Now Open
What is the Program Looking for?
The UBC Master of Data Science (MDS) program seeks candidates with a strong analytical mindset, technical proficiency, and problem-solving abilities to tackle real-world data challenges. Applicants should demonstrate a passion for data-driven decision-making and the ability to apply statistical, computational, and machine learning techniques to extract meaningful insights. The program values individuals with effective communication skills, as graduates must translate complex data into actionable knowledge for diverse stakeholders. Additionally, candidates should showcase motivation, adaptability, and a commitment to ethical data practices, ensuring they can navigate the evolving landscape of data science while making responsible and impactful contributions across industries.
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