Post Baccalaureate Diploma in Data Analytics and Economics

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  • Kelowna
View schedule and campus details
  • Full program offered
  • Partial program offered



Delivery options


  • International students eligible

Tuition and fees

2022-23: $9,770.40

Program details

This unique two-year post-baccalaureate diploma (60 credit/20 course) is aimed at students with a bachelor's degree in any science, arts, business, nursing, or management program who wish to pursue a career in Data Analytics and Economics. Students will receive thorough training in statistics and data science. Year one of this program sets the mathematical, statistical, and economic foundation for higher-level learning in the economics and data science areas. In second year, students build on and apply these foundational skills to a diverse set of areas. While many of the applications have an economic focus, the mathematical, statistical, and data science concepts learned are universally applicable to a wide range of disciplines.

Campus Start date Schedule
Kelowna Jan. 08, 2024
Kelowna Sep. 04, 2024
Kelowna Jan. 06, 2025

Admission requirements

Successful completion of a recognized Bachelor's Degree in any arts, science, engineering, psychology, business or management program. A post-secondary basic calculus course and some basic programming skills are highly recommended.

A student who has completed a recognized undergraduate degree in a program different than those listed above may be admitted to the program provided they pass the Okanagan College Basic Algebra Proficiency Test with a minimum score of 20/25 AND the Calculus Readiness Test with a minimum score of 16/25.

Program requirements

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

Program outline

Complete All of the following:
DSCI 300 - Data Wrangling and Visualization
DSCI 310 - Mathematics Computation
STAT 230 - Elementary Applied Statistics
ECON 115 - Principles of Microeconomics
ECON 125 - Principles of Macroeconomics
MATH 314 - Calculus and Linear Algebra with Business Applications
DSCI 400 - Machine Learning I
STAT 240 - Applied Statistics II
ECON 201 - Intermediate Microeconomic Analysis
ECON 202 - Intermediate Macroeconomic Analysis
DSCI 401 - Machine Learning II
STAT 310 - Regression Analysis
ECON 251 - Economic Data: Prediction, Analysis and Presentation
STAT 443 - Time Series Analysis and Forecasting
STAT 311 - Modern Statistical Methods
ECON 231 - Introduction to Behavioural Economics
DSCI 491 - Data Science Research Project
Any 200, 300 or 400 level ECON course.
Any 2 electives selected from Okanagan College university transferrable courses.

Successful completion of the prescribed and elective courses as listed in the program outline with a minimum graduating grade average of 60%.

Additional information

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