Analytics for Business Decision Making
386
Gain specialized knowledge in data analytics to become a skilled data professional, and an essential contributor to business decision-making processes.

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 1Semester 2
Total Tuition & Ancillary Fee$8,600.00 $8,600.00 
Co-op FeesN/AN/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:

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:

Graduates from the Analytics for Business Decision Making program are eligible to enroll into the following Degree, and Ontario College Graduate Certificate programs:

 

Semester 1
Course #Course TitleHrs/WeekTotal Hours
BUSN10196Data Modelling4.0056.00
COMP10192Applied IBM Business Intelligence3.0042.00
COMP10214Programming Fundamentals for Business3.0042.00
INFO10257Database Analytics4.0056.00
INFO10258Excel for Business Analytics3.0042.00
STAT10001Statistics for Business Analytics3.0042.00
Semester 2
Course #Course TitleHrs/WeekTotal Hours
BUSN10140Strategy Analysis and Planning3.0042.00
BUSN10197Project Management for Business Analytics5.0070.00
BUSN10198Predictive Modelling4.0056.00
BUSN10225Analytics Capstone Project3.0042.00
COMP10187Business Analytics for Managers3.0042.00
COMP10233Programming for Data Analytics3.0042.00
CRED10128Career Discovery for Analytics Professionals3.0042.00

Additional Information

Laptop Requirements

Minimum Settings

The laptop specifications and Dell Systems below are recommendations only. If you already own a laptop that resembles these specifications you are not required to purchase a new device.

Operating SystemWindows 10 Home
CPU (Minimum)Intel Core i5 to i7
RAM (Minimum)16gb
Storage500 GB to 1 TB
Peripherals (included or purchased separately)Webcam
Headset w/ Microphone (to listen to audio in class without disturbing others)
Screen Size15" to 17"
Price$1650 - $1850 range

 

Program Specific Software (subject to change)

Software listed below are available free to students while on campus; some software licenses may be purchased through the college at a discounted rate for use while offsite. Students will be advised how to access program specific software during Orientation.

  • Microsoft Office (Word, PowerPoint, Excel, Access)
  • Microsoft Visio
  • Microsoft Project
  • OpenRefine
  • Microsoft PowerBI
  • IBM SPSS Modeler
  • IBM Cognos Analytics Server
  • Tableau Prep
  • Tableau
  • Python
  • Programming IDEs
  • Zoom Conferencing
  • Any other statistics/analytics package for learning (SAS, SPSS Statistics, etc.)

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 1Semester 2
Total Tuition & Ancillary Fee$8,600.00 $8,600.00 
Co-op FeesN/AN/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:

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:

Graduates from the Analytics for Business Decision Making program are eligible to enroll into the following Degree, and Ontario College Graduate Certificate programs:

 

Semester 1
Course #Course TitleHrs/WeekTotal Hours
BUSN10196Data Modelling4.0056.00
COMP10192Applied IBM Business Intelligence3.0042.00
COMP10214Programming Fundamentals for Business3.0042.00
INFO10257Database Analytics4.0056.00
INFO10258Excel for Business Analytics3.0042.00
STAT10001Statistics for Business Analytics3.0042.00
Semester 2
Course #Course TitleHrs/WeekTotal Hours
BUSN10140Strategy Analysis and Planning3.0042.00
BUSN10197Project Management for Business Analytics5.0070.00
BUSN10198Predictive Modelling4.0056.00
BUSN10225Analytics Capstone Project3.0042.00
COMP10187Business Analytics for Managers3.0042.00
COMP10233Programming for Data Analytics3.0042.00
CRED10128Career Discovery for Analytics Professionals3.0042.00

Additional Information

Laptop Requirements

Minimum Settings

The laptop specifications and Dell Systems below are recommendations only. If you already own a laptop that resembles these specifications you are not required to purchase a new device.

Operating SystemWindows 10 Home
CPU (Minimum)Intel Core i5 to i7
RAM (Minimum)16gb
Storage500 GB to 1 TB
Peripherals (included or purchased separately)Webcam
Headset w/ Microphone (to listen to audio in class without disturbing others)
Screen Size15" to 17"
Price$1650 - $1850 range

 

Program Specific Software (subject to change)

Software listed below are available free to students while on campus; some software licenses may be purchased through the college at a discounted rate for use while offsite. Students will be advised how to access program specific software during Orientation.

  • Microsoft Office (Word, PowerPoint, Excel, Access)
  • Microsoft Visio
  • Microsoft Project
  • OpenRefine
  • Microsoft PowerBI
  • IBM SPSS Modeler
  • IBM Cognos Analytics Server
  • Tableau Prep
  • Tableau
  • Python
  • Programming IDEs
  • Zoom Conferencing
  • Any other statistics/analytics package for learning (SAS, SPSS Statistics, etc.)