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 200 Digital Marketing
BUAD 210 Introduction to Marketing Research
STAT 240 Applied Statistics II
Semester 3
DSCI 401 Machine Learning II
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
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