Post-Baccalaureate Diploma in Marketing and Data Analytics

Campus Kelowna (Sep)
Delivery Part-Time, Full-Time
Credential Other
Notes

Students are expected to provide their own laptop computer for this program.

Take the data science diagnostic test here.

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Program Highlights

Take your marketing or science degree to the next level with classes focusing on the mathematical and statistical foundations of marketing and data science.

Tuition and Fees

2019-20: $4,826.49

  • Fees include all mandatory fees: Activity fee, Health & Dental, Student Association fee, Education Technology fee, Development fee.
  • All amounts are approximate and are subject to change.
  • International students will pay International tuition fees

Program Details

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

Graduates of this program have the opportunity to work in a variety of fields:

  • Market Data Analyst
  • Agency Manager
  • Consultant
  • Marketing Insights Analyst
  • Data Scientist
  • Reporting Specialist

 

Admission Requirements

Successful completion of a recognized Bachelor Degree in any business or science program. A post-secondary basic calculus course, or equivalent, is highly recommended.

A student who has completed a recognized undergraduate degree in a non-business or non-science program 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 Outline

Semester 1
DSCI 300 Data Wrangling and Visualization
DSCI 310 Mathematics Computation
BUAD 116 Marketing
STAT 230 Elementary Applied Statistics
MATH 314 Calculus and Linear Algebra with Business Applications
Semester 2
DSCI 400 Machine Learning I
BUAD 123 Management Principles
BUAD 401 International Trade Management
BUAD 210 Introduction to Marketing Research
STAT 240 Applied Statistics II
Semester 3
DSCI 200 Introduction to Data Science 3
BUAD 283 Management Information Systems
STAT 310 Regression Analysis
BUAD 344 Marketing Analytics and Data Analysis
Elective - any three credit academic course
Semester 4
MATH 251 Introduction to Discrete Structures
STAT 311 Modern Statistical Methods
BUAD 315 Management Science
DSCI 490 Data Science Project
Elective - any three credit academic course

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