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Post Diploma Certificate in Data Science

The Post-Diploma Certificate in Data Science is designed for graduates with a diploma or degree, particularly those with a background in Business Administration, Computer Information Systems, or related fields. This program provides an additional 24 credits of advanced coursework in Statistics and Data Science. Students will gain comprehensive training and practical experience, applying their skills across various disciplines. Enhance your expertise and open new career opportunities in the rapidly evolving field of data science.

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Program details
Admission requirements
Program outline
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Campus

  • Kelowna
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Legend:
  • Full program offered
  • Partial program offered

Credential

Certificate

Delivery options

Full-Time

Tuition and fees

Program details

Graduates with a diploma or degree may receive a post-diploma certificate in Data Science by completing an additional 24 credits of STAT and DSCI courses from a given list. This certificate will be of interest to students who have completed a BBA, BCIS or another related degree or diploma and want to add some experience in Data Science.


Students will receive thorough training in Statistics and Data Science. Students should enter the program with a sound foundational background in Statistics and Calculus. Students without this background will be asked to complete MATH 314 and STAT 230. From there, students build on and apply these foundational skills to a diverse set of areas. Courses in this program are taught with a variety of applications and the mathematical, statistical, and data science concepts learned are universally applicable to a wide range of disciplines.



Campus Start date Schedule
Kelowna Sep. 03, 2025
Kelowna Jan. 05, 2026

Admission requirements

Completion of a degree or diploma.


Program requirements:

  • A personal computer is required. See the program for computer specifications.

Program outline

Complete All of the following:
Completed either in a previous degree or during this diploma: MATH 314 (or equivalent) and STAT 230 (or equivalent)
DSCI 300 - Data Wrangling and Visualization
DSCI 310 - Mathematics Computation
DSCI 400 - Machine Learning I
DSCI 401 - Machine Learning II
Complete at least 4 of the following:
DSCI 315 - Dashboards and Analytic Reporting
DSCI 420 - Mathematics for Machine Learning
STAT 310 - Regression Analysis
STAT 311 - Modern Statistical Methods
STAT 443 - Time Series Analysis and Forecasting
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Completion of the listed courses with a minimum overall graduation average of 60%.

Additional information

View the official Calendar details and policies
Learn more about the department
View the Tuition and fees page

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