
- Overview
- Tuition and Fees
- Admission
- Experience Learning
- Opportunities
- Program of Studies
- Additional Information
Program Highlights
- Executive course delivery (afternoons/evenings) with a mix of face-to-face, self-directed, and live online courses.
- Diverse class cohort that integrates domestic and international students.
- No prior programming or statistics experience necessary, the program starts with the foundations.
- Industry-agnostic education means skills are applicable to any industry.
- Applied skills development with industry-standard techniques and software including Cognos Analytics, SPSS Modeler, OpenRefine, Tableau, R, Python, and more.
- Potential to work with real businesses using their data on individual and team-based projects.
- Free registration in Higher Education Analytics Data (HEAD) Competition.
- Capstone Project to integrate program courses.
- Work as part of a team in our own data analytics competition.
- Face-to-face workshops and industry networking opportunities.
This is a BYOD (Bring your own device) program. See Laptop Requirements under Additional Information.
What you'll learn
- Analyze and interpret digital information.
- Case study problem solving and analysis.
- Understand key analytical, modeling, statistical and programming tools.
- Use of business intelligence and data analytics software with a focus on data identification, consolidation, communication, reporting, manipulation and trending.
- Management techniques for data analytics projects.
- Presentation and communication skills.
- How to become a Certified Analytics Professional.
International Tuition and Fees
Semester 1 | Semester 2 | |
---|---|---|
Total Tuition & Ancillary Fee | $8,600.00 | $8,600.00 |
Co-op Fees | N/A | N/A |
Program Compulsory Fees | $0.00 | $0.00 |
International Tax Recovery | $450.00 | $375.00 |
Total International Per Semester | $9,050.00 | $8,975.00 |
Total 1st Year Fees | $18,025.00 |
Admission
- An Ontario College Diploma, Ontario College Advanced Diploma, or University Degree
- Other equivalent post-secondary experience or qualifications alongside relevant industry-related experience will be considered by Mohawk College
- This is a BYOD (Bring your own device) program where you will learn applicable software applications to support your learning. Please see Laptop Requirements under Additional Information.
Language Requirements for International Students:
- See below for accepted equivalents for Grade 12 English:
- Successful completion of GAS-EAP (478) Program Level 8
- TOEFL minimum score of 560 (83 Internet based)
- or IELTS Academic minimum score of 6.5 overall with no band less than 6.0
- More information about acceptable certificates, can be found on the International Admission Requirements
Applicants whose first language is not English will be required to demonstrate proficiency in English. Options are available for mature applicants.
Experiential Learning
How you'll gain skills
- Demonstrate cumulative program knowledge through a capstone research project.
- Test and apply course concepts in our computer labs and on your own device through integrated software training.
- Participate in an analytics competition as part of a team.
To learn more, please visit the Centre for Experiential Learning.
Opportunities
Students that graduate from any of the following Ontario College Diploma, Ontario College Advanced Diploma, and Ontario College Graduate Certificate programs are eligible to enroll into the Analytics for Business Decision Making program:
- Architectural Technician
- Business - Accounting
- Business - Marketing
- Business - Financial Services
- Civil Engineering Technician
- Insurance
- Advertising & Marketing Communication Management
- Business Administration - Accounting
- Business Administration - Human Resources
- Mechanical Engineering Technology
- Business Analysis
- International Business Management
- Global Business Management - Family Enterprise (International Only)
Graduates from the Analytics for Business Decision Making program are eligible to enroll into the following Degree, and Ontario College Graduate Certificate programs:
- Visit Pathways and Credit Transfer for degree completion opportunities outside of Ontario.
- See ONTransfer for additional opportunities at other colleges or universities in Ontario.
Semester 1 | |||
---|---|---|---|
Course # | Course Title | Hrs/Week | Total Hours |
BUSN10196 | Data Modelling | 4.00 | 56.00 |
COMP10192 | Applied IBM Business Intelligence | 3.00 | 42.00 |
COMP10214 | Programming Fundamentals for Business | 3.00 | 42.00 |
INFO10257 | Database Analytics | 4.00 | 56.00 |
INFO10258 | Excel for Business Analytics | 3.00 | 42.00 |
STAT10001 | Statistics for Business Analytics | 3.00 | 42.00 |
Semester 2 | |||
Course # | Course Title | Hrs/Week | Total Hours |
BUSN10140 | Strategy Analysis and Planning | 3.00 | 42.00 |
BUSN10197 | Project Management for Business Analytics | 5.00 | 70.00 |
BUSN10198 | Predictive Modelling | 4.00 | 56.00 |
BUSN10225 | Analytics Capstone Project | 3.00 | 42.00 |
COMP10187 | Business Analytics for Managers | 3.00 | 42.00 |
COMP10233 | Programming for Data Analytics | 3.00 | 42.00 |
CRED10128 | Career Discovery for Analytics Professionals | 3.00 | 42.00 |
Additional Information
Laptop Requirements
- Overview
- Tuition and Fees
- Admission
- Experience Learning
- Opportunities
- Program of Studies
- Additional Information
Program Highlights
- Executive course delivery (afternoons/evenings) with a mix of face-to-face, self-directed, and live online courses.
- Diverse class cohort that integrates domestic and international students.
- No prior programming or statistics experience necessary, the program starts with the foundations.
- Industry-agnostic education means skills are applicable to any industry.
- Applied skills development with industry-standard techniques and software including Cognos Analytics, SPSS Modeler, OpenRefine, Tableau, R, Python, and more.
- Potential to work with real businesses using their data on individual and team-based projects.
- Free registration in Higher Education Analytics Data (HEAD) Competition.
- Capstone Project to integrate program courses.
- Work as part of a team in our own data analytics competition.
- Face-to-face workshops and industry networking opportunities.
This is a BYOD (Bring your own device) program. See Laptop Requirements under Additional Information.
What you'll learn
- Analyze and interpret digital information.
- Case study problem solving and analysis.
- Understand key analytical, modeling, statistical and programming tools.
- Use of business intelligence and data analytics software with a focus on data identification, consolidation, communication, reporting, manipulation and trending.
- Management techniques for data analytics projects.
- Presentation and communication skills.
- How to become a Certified Analytics Professional.
International Tuition and Fees
Semester 1 | Semester 2 | |
---|---|---|
Total Tuition & Ancillary Fee | $8,600.00 | $8,600.00 |
Co-op Fees | N/A | N/A |
Program Compulsory Fees | $0.00 | $0.00 |
International Tax Recovery | $450.00 | $375.00 |
Total International Per Semester | $9,050.00 | $8,975.00 |
Total 1st Year Fees | $18,025.00 |
Admission
- An Ontario College Diploma, Ontario College Advanced Diploma, or University Degree
- Other equivalent post-secondary experience or qualifications alongside relevant industry-related experience will be considered by Mohawk College
- This is a BYOD (Bring your own device) program where you will learn applicable software applications to support your learning. Please see Laptop Requirements under Additional Information.
Language Requirements for International Students:
- See below for accepted equivalents for Grade 12 English:
- Successful completion of GAS-EAP (478) Program Level 8
- TOEFL minimum score of 560 (83 Internet based)
- or IELTS Academic minimum score of 6.5 overall with no band less than 6.0
- More information about acceptable certificates, can be found on the International Admission Requirements
Applicants whose first language is not English will be required to demonstrate proficiency in English. Options are available for mature applicants.
Experiential Learning
How you'll gain skills
- Demonstrate cumulative program knowledge through a capstone research project.
- Test and apply course concepts in our computer labs and on your own device through integrated software training.
- Participate in an analytics competition as part of a team.
To learn more, please visit the Centre for Experiential Learning.
Opportunities
Students that graduate from any of the following Ontario College Diploma, Ontario College Advanced Diploma, and Ontario College Graduate Certificate programs are eligible to enroll into the Analytics for Business Decision Making program:
- Architectural Technician
- Business - Accounting
- Business - Marketing
- Business - Financial Services
- Civil Engineering Technician
- Insurance
- Advertising & Marketing Communication Management
- Business Administration - Accounting
- Business Administration - Human Resources
- Mechanical Engineering Technology
- Business Analysis
- International Business Management
- Global Business Management - Family Enterprise (International Only)
Graduates from the Analytics for Business Decision Making program are eligible to enroll into the following Degree, and Ontario College Graduate Certificate programs:
- Visit Pathways and Credit Transfer for degree completion opportunities outside of Ontario.
- See ONTransfer for additional opportunities at other colleges or universities in Ontario.
Semester 1 | |||
---|---|---|---|
Course # | Course Title | Hrs/Week | Total Hours |
BUSN10196 | Data Modelling | 4.00 | 56.00 |
COMP10192 | Applied IBM Business Intelligence | 3.00 | 42.00 |
COMP10214 | Programming Fundamentals for Business | 3.00 | 42.00 |
INFO10257 | Database Analytics | 4.00 | 56.00 |
INFO10258 | Excel for Business Analytics | 3.00 | 42.00 |
STAT10001 | Statistics for Business Analytics | 3.00 | 42.00 |
Semester 2 | |||
Course # | Course Title | Hrs/Week | Total Hours |
BUSN10140 | Strategy Analysis and Planning | 3.00 | 42.00 |
BUSN10197 | Project Management for Business Analytics | 5.00 | 70.00 |
BUSN10198 | Predictive Modelling | 4.00 | 56.00 |
BUSN10225 | Analytics Capstone Project | 3.00 | 42.00 |
COMP10187 | Business Analytics for Managers | 3.00 | 42.00 |
COMP10233 | Programming for Data Analytics | 3.00 | 42.00 |
CRED10128 | Career Discovery for Analytics Professionals | 3.00 | 42.00 |