Post-Baccalaureate Diploma in Data Analytics and Economics

Commputer screen with coding on it.

Program at a glance

Credential

Diploma

Delivery mode

Time commitment

Full-Time

Duration

2 years

Program codes

  • Code: PBDDAE

Cost

TBD TBD

Location

  • TBD

Available for

  • Domestic students
  • International students

Program features

TBD

Program overview

About the program

This diploma in data analytics and economics offers a unique combination of skills and knowledge that individuals can apply to various fields including business, finance, healthcare and government. A strong foundation in economics, statistics and machine learning will allow graduates to make data-informed decisions in their field of practice.

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

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.

Admission and program requirements

  • Successful completion of a recognized Bachelor Degree in any arts, science, engineering, psychology, business or management program. A post-secondary basic calculus course, or equivalent, is highly recommended.
  • Applicants who have completed post-secondary studies outside of Canada will require a World Education Service evaluation with International Credential Advantage Package of their credentials.
  • 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.

  • English Requirements:

    English 12 with minimum 60% or alternatives

Program requirements

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

Schedule and campus options

Start date
Location
Delivery mode
Application status

Tuition and fees

Program details

Semester 1

ECON 115 - Principles of Microeconomics
DSCI 300 - Data Wrangling and Visualization
DSCI 310 - Mathematics Computation
MATH 314 - Calculus and Linear Algebra with Business Applications
STAT 230 - Elementary Applied Statistics

Semester 2

ECON 125 - Principles of Macroeconomics
ECON 201 - Intermediate Microeconomic Analysis
DSCI 400 - Machine Learning I
DSCI 420 - Mathematics for Machine Learning
Elective - any three credit academic course

Semester 3

ECON 202 - Intermediate Macroeconomic Analysis
ECON 251 - Economic Data: Prediction, Analysis and Presentation
DSCI 401 - Machine Learning II
STAT 310 - Regression Analysis
Elective - any three credit academic course with the ECON prefix

Semester 4

ECON 231 - Introduction to Behavioural Economics
DSCI 491 - Data Science Research Project
STAT 311 - Modern Statistical Methods
STAT 443 - Time Series Analysis and Forecasting
Elective - any three credit academic course

Notes

Material from the following courses will be tested on your comprehensive examinations.
DSCI Comp: DSCI 300, DSCI 310, DSCI 400, DSCI 401
MATH/STAT Comp: MATH 314, STAT 230, DSCI 420, STAT 310
Economics Comp: ECON 115, ECON 125, ECON 201, ECON 202

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