Post-Diploma Certificate in Data Science

Female student working at computer smiling

Program at a glance

Credential

Certificate

Delivery mode

On-campus

Time commitment

Full-Time

Duration

1 year

Program codes

  • Code: PDCDS

Cost

TBD

Location

  • Kelowna

Available for

  • Domestic students

Program features

TBD

Program overview

About the program

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.

Before joining this program, please ensure you can confidently complete our self-assessment guide to understand the math background needed.

This diagnostic test highlights the level of mathematics students are expected to know upon entering the Data Science program and is designed to help ensure a strong foundation for success.

Data science diagnostic test

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.



Admission and program requirements

Completion of a degree or diploma.


Program requirements:

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

Schedule and campus options

Start date:
Sep. 2026
Location:
Kelowna
Delivery mode:
On-campus
Application status:
Open
Start date
Location
Delivery mode
Application status
Sep. 2026
Kelowna
On-campus
Open

Tuition and fees

Program details

Complete All of the following:
Completed either in a previous diploma or degree or during this certificate: 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
STAT 240 - Applied Statistics II

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