Completed a Bachelor’s degree at an accredited university
Obtained an overall undergraduate average of 70% Canadian equivalent or higher
Submit scanned original copies of transcript
Submit scanned original copy of degree completion certificate
TOEFL score of 550 (paper test), 213 (computer test), or 80 (internet test)
IELTS Academic (and IELTS Indicator) score of 6.5 with no band below 6.0
CAEL score of 60 (this includes CAEL Online)
MELAB score of 85
Pearson PTE (Academic) score of 59
CanTEST score of 4.5 (reading & listening), 4.0 (writing)
Duolingo English Test score of 115 for undergraduate programs, diplomas and certificates.
Today’s economy requires leaders who know how to interpret the data that drives our world forward. That’s why a Post-Baccalaureate Diploma in Business Analytics from Cape Breton University is so valuable in the real world. Our approachable, experienced faculty provides hands-on learning needed to build your skills, and our warm, welcoming community provides a safe learning environment.
More business leaders than ever before are looking to data and analytics for business planning and decision making. At CBU, students from around the world come to hone their skills in different technologies, applications, and processes used by real organizations. We provide insight into actual businesses based on data and statistics that are used to drive business planning.
Cape Breton University will help you develop your ability to analyze and understand the data-driven environment of our current markets. With the purpose of improving business decisions, we help students acquire the skills and experience to fill the knowledge gap big data uncovers.
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Program Structure
The structure of the diploma program will entail the successful completion of 12 courses (thirty-nine credits) in Business Analytics. Students must achieve a minimum of 60% in all required courses and must receive a satisfactory employer report on their internship placement in their last semester.
Term 1
MGSC 5108 Statistics
MGSC 5106 Database Concepts
MGSC 5111 Business Analytics Fundamentals
1st Elective (see below for options)
Term 2
MGSC 5113 Quantitative Methods.
MGSC 5118 Statistical Methods for Business Analytics
MGSC 5127 Data Visualization
MRKT 5312 Quantitative Marketing Research
Term 3
MGSC 5125 Predictive Modeling and Analytics
MGSC 5126 Data Mining
2nd Elective (see below for options)
Term 4
BUSS 5989 Business Internship or BUSS 5800 Capstone Project
Elective Courses (Choose Two)
LEGL 5501 Business Law and Commercial Contracts
MATH 2106 Mathematical Statistics
MGSC 5101 Information Systems for Management
MGSC 5114 Supply Chain Management
MGSC 5121 Global Sourcing
MGSC 5122 Data Security and Ethics
MGSC 5128 Operations Management
MGSC 5183 Statistics II
Possible Career Paths
Data Scientist
Quantitative Modeler
Business/Research Analyst
Operations Analyst
Medical Insurance: 744 per year
