Covering all stages of the data science value chain, UBC’s Okanagan campus Master of Data Science program prepares graduates to thrive in one of the world’s most in-demand fields. Over 10 months, you’ll learn how to extract and analyze data in all its forms, how to turn data into knowledge, and how to clearly communicate your recommendations to decision-makers.
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| Grade for Entrance Previous Year (%)* | 76 to 80 |
These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
At the minimum, hold the academic equivalent of a four-year bachelor’s degree from UBC or similar university with a minimum B+ (76% or 3.30 GPA at UBC) average in your 300- and 400-level courses.
Prerequisite Courses
At the time of application, you must have proof of completion or enrolment in two of the following prerequisite courses:
one course in Programming (3 credits):
Similar to UBC-V: CPSC 103, CPSC 110, APSC 260 / UBC-O: COSC 111, COSC 123, DATA 301
one course in Probability and/or Statistics (3 credits):
Similar to UBC-V: STAT 200, STAT 241/251, STAT 302 / UBC-O: STAT 121, STAT 124, STAT 230
AND
one course in Calculus (3-credit) OR Linear Algebra (3-credit)
Calculus: Similar to UBC-V: MATH 100 / UBC-O: MATH 100
Linear Algebra: Similar to UBC-V: MATH 221 / UBC-O: MATH 221
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| Test Scores: | - Test of English as a Foreign Language (Internet Based) or International English Language Testing System (academic or immigration)
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| Additional Admission Requirements: | - Letter(s) of Reference
- Resume/Curriculum Vitae
- Statement of Research Interests
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* The entrance grade may change from year to year. Please contact the school for further information.
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.
