George Brown Polytechnic is located on the traditional territory of the Mississaugas of the Credit First Nation and other Indigenous peoples who have lived here over time. We are grateful to share this land as treaty people who learn, work and live in the community with each other.
Analytics for Business Decision Making
(Postgraduate) (B412)
Program Details
- Program Code: B412
- Credential: Ontario College Graduate Certificate
- Duration: 8 months (2 semesters)
- Method of Study: Full-time
- Starting Months: January, May, September
- Domestic Tuition: $4,379.00 *
- International Tuition: $17,774.00 **
Program Availability
| Semester | Domestic | International |
|---|---|---|
| Fall 2023 | Closed | Closed |
| Winter 2024 | Closed | Closed |
| Spring 2024 | Closed | Closed |
- Work-Integrated Learning:
Simulated Learning Environment
- PGWP Eligible: No
Program Description
Program Overview
Harnessing the power of big data analytics, the Analytics for Business Decision-Making eight-month graduate certificate program in Toronto prepares students to do data analysis specific to multifaceted business decision-making needs. This big data analytics program is about developing information into knowledge and converting that intelligence into action. This program is delivered in a blended hybrid format, combining face-to-face sessions with online delivery. Graduates will be prepared for careers in this high-demand area and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management, and data science.
Full Description
The need for graduates with skills in the area of business analytics is growing rapidly across all industry sectors. Harnessing the power of big data analytics, the Analytics for Business Decision-Making graduate certificate program prepares students to do data analysis specific to multifaceted business decision-making needs. It is about developing information into knowledge and converting that intelligence into action. The goal is to prepare the student to engage and to be competitive across various business divisions with the ability to “tell stories” about data, which assist decision-makers in their own activities. Through in-depth data analytics courses and business analytics courses, graduates will be prepared to work in the high-demand area of business intelligence in Toronto, in Canada and beyond and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management and data science.
In this business analytics program, the focus will be on skills development, technical and otherwise, including analytic understanding and dissemination for various business uses. A bold mix of skills, including some programming, applied statistical comprehension and database understanding, will be explored in the context of organizational Big Data (Operational) requirements.
Delivery
You will generally meet in the evenings and Saturdays, with weekday sessions for some semesters. The delivery format attempts to accommodate those who may have daytime commitments while taking this program.
Program Requirements
The Analytics for Business Decision-Making program is offered in a hybrid modality.
This Centre for Business program is part of our School of Management.
Minimum computing requirements
- a PC running Windows 8 or higher with 8MB RAM and an i5 processor
- Microsoft Windows® 10 or Server 2016 +
- 64-bit versions of Windows
- web camera and microphone
- PC Version Microsoft Office including Access (as provided by George Brown via limited Student Office 365 versions)
For students who prefer Apple/Mac environments, it is necessary to ALSO have the following:
- Bootcamp/Parallels
- a copy of Windows 10
- Microsoft Office including Access (students should have a PC version from GBC Apps Anywhere as Mac versions sometimes do not have the same depth in capability.)
Watch our past recording of the online info session for the Analytics for Business Decision-Making program.
Your Field Education Options
The BUS 4045 Data Project Capstone Project is a self-directed, faculty-guided research and analytics project where you will support an important business decision. You will demonstrate your ability to analyze real-world data and make meaningful business recommendations based on client feedback and interaction. This valuable work experience can, in turn, be added to your resumé.
The Analytics Hub brings students, faculty, and industry together to derive actionable insights and tell stories about data from both private and public sources.
Career & Postgraduate Study Opportunities
Educational Pathways
For information on future study options, see our Transfer guide.
Alumni Impact
We are immensely proud of the contributions of our alumni in Toronto and around the globe.
From Michelin-starred restaurants to major construction, entertainment, community and financial organizations, our graduates are truly making an impact across a range of industries.
Latest alumni stories
Courses
Semester 1
| Code | Course Name |
|---|---|
| BUS 4022 | Programming Fundamental for Analytics |
| BUS 4046 | Introduction to Business Analytics |
| BUS 4047 | Applied Business Communication |
| COMP4007 | Comp Appl. Involving Analytics |
| MGMT4030 | Business Research |
| MGMT4084 | Digital Media Analysis |
| STAT4001 | Statistics I For Analytics |
Semester 2
| Code | Course Name |
|---|---|
| BUS 4023 | Bus Web & Soc Med Metr & Analy |
| BUS 4024 | Bus Dec-Making Thru Adv Analy |
| BUS 4045 | Capstone Project |
| COMP4008 | Adv.Comp.App.Involv. Analytics |
| MARK4018 | Data Mining & Modeling |
| MGMT4083 | Business Metrics |
| STAT4003 | Statistics LI For Analytics |
Course Outline URL
Program Learning Outcomes
The graduate demonstrates the ability to:
- Extract, transform and load data to more efficiently support problem-solving and decision-making.
- Warehouse and mine data for the purpose of business decision-making.
- Develop classification and/or predictive models using operational and marketing data in support of business decision-making.
- Determine, using a variety of business intelligence tools, the most appropriate for each business decision-making scenario.
- Effectively communicate analytics results and conclusions orally, in written reports and in formal presentations to various levels of staff and management.
- Apply descriptive and differential statistical techniques to Big Data.
- Analyze and interpret digital information as it relates to all aspects of an organization.
- Apply the principles of business ethics and corporate social responsibility to the application and use of data to support business decision-making.
Tuition & Fees
Domestic Tuition
$4,379.00 *
International Tuition
$17,774.00 **
Additional Costs
* Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2022. Fees are subject to change for programs starting in Fall 2023 and at later dates.
** Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2023. Fees are subject to change for programs starting in Fall 2024 and at later dates.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
Each year we award over $2 million dollars in scholarships, awards and bursaries to first-year students. Check out our financial aid webpages for ways to pay for college and the full list of available scholarships, awards and bursaries.
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Admission Requirements
- College advanced diploma (three-year) or bachelor's degree or demonstrated, relevant work experience (resumé and references required).
English Language Proficiency
Applicants with international transcripts who do not provide English language proficiency test results must test at the college level in the George Brown College English assessment to be considered. In addition, applicants who are considered for admission to the program based solely on their work experience will be required to provide proof of English proficiency at the college level, and may be required to write the English admission assessment.
Please review our English proficiency requirements for more details.
Course Exemptions
Some college and university credits may qualify you for exemptions. Please see our Transfer guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Contact Us
Analytics for Business Decision-Making (Postgraduate) (B412)
For inquiries related to this program (for example, course-specific information) please contact the co-ordinators:
Robin Yap
Email: ryap@georgebrown.ca
Social Channels:
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
Visit Our Campus
This program is offered out of our School of Management and classes usually take place at our St. James Campus, mainly at 200 King St. E., and 290 Adelaide St. E., Toronto, Ontario, Canada.
Campus tours are offered on a regular basis. Sign up today! You can also check out our virtual tour.
Program Description
Program Overview
Harnessing the power of big data analytics, the Analytics for Business Decision-Making eight-month graduate certificate program in Toronto prepares students to do data analysis specific to multifaceted business decision-making needs. This big data analytics program is about developing information into knowledge and converting that intelligence into action. This program is delivered in a blended hybrid format, combining face-to-face sessions with online delivery. Graduates will be prepared for careers in this high-demand area and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management, and data science.
Full Description
The need for graduates with skills in the area of business analytics is growing rapidly across all industry sectors. Harnessing the power of big data analytics, the Analytics for Business Decision-Making graduate certificate program prepares students to do data analysis specific to multifaceted business decision-making needs. It is about developing information into knowledge and converting that intelligence into action. The goal is to prepare the student to engage and to be competitive across various business divisions with the ability to “tell stories” about data, which assist decision-makers in their own activities. Through in-depth data analytics courses and business analytics courses, graduates will be prepared to work in the high-demand area of business intelligence in Toronto, in Canada and beyond and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management and data science.
In this business analytics program, the focus will be on skills development, technical and otherwise, including analytic understanding and dissemination for various business uses. A bold mix of skills, including some programming, applied statistical comprehension and database understanding, will be explored in the context of organizational Big Data (Operational) requirements.
Delivery
You will generally meet in the evenings and Saturdays, with weekday sessions for some semesters. The delivery format attempts to accommodate those who may have daytime commitments while taking this program.
Program Requirements
The Analytics for Business Decision-Making program is offered in a hybrid modality.
This Centre for Business program is part of our School of Management.
Minimum computing requirements
- a PC running Windows 8 or higher with 8MB RAM and an i5 processor
- Microsoft Windows® 10 or Server 2016 +
- 64-bit versions of Windows
- web camera and microphone
- PC Version Microsoft Office including Access (as provided by George Brown via limited Student Office 365 versions)
For students who prefer Apple/Mac environments, it is necessary to ALSO have the following:
- Bootcamp/Parallels
- a copy of Windows 10
- Microsoft Office including Access (students should have a PC version from GBC Apps Anywhere as Mac versions sometimes do not have the same depth in capability.)
Watch our past recording of the online info session for the Analytics for Business Decision-Making program.
Your Field Education Options
The BUS 4045 Data Project Capstone Project is a self-directed, faculty-guided research and analytics project where you will support an important business decision. You will demonstrate your ability to analyze real-world data and make meaningful business recommendations based on client feedback and interaction. This valuable work experience can, in turn, be added to your resumé.
The Analytics Hub brings students, faculty, and industry together to derive actionable insights and tell stories about data from both private and public sources.
Career & Postgraduate Study Opportunities
Educational Pathways
For information on future study options, see our Transfer guide.
Alumni Impact
We are immensely proud of the contributions of our alumni in Toronto and around the globe.
From Michelin-starred restaurants to major construction, entertainment, community and financial organizations, our graduates are truly making an impact across a range of industries.
Latest alumni stories
Courses
Semester 1
| Code | Course Name |
|---|---|
| BUS 4022 | Programming Fundamental for Analytics |
| BUS 4046 | Introduction to Business Analytics |
| BUS 4047 | Applied Business Communication |
| COMP4007 | Comp Appl. Involving Analytics |
| MGMT4030 | Business Research |
| MGMT4084 | Digital Media Analysis |
| STAT4001 | Statistics I For Analytics |
Semester 2
| Code | Course Name |
|---|---|
| BUS 4023 | Bus Web & Soc Med Metr & Analy |
| BUS 4024 | Bus Dec-Making Thru Adv Analy |
| BUS 4045 | Capstone Project |
| COMP4008 | Adv.Comp.App.Involv. Analytics |
| MARK4018 | Data Mining & Modeling |
| MGMT4083 | Business Metrics |
| STAT4003 | Statistics LI For Analytics |
Course Outline URL
Tuition & Fees
Domestic Tuition
$4,379.00 *
International Tuition
$17,774.00 **
Additional Costs
* Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2022. Fees are subject to change for programs starting in Fall 2023 and at later dates.
** Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2023. Fees are subject to change for programs starting in Fall 2024 and at later dates.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
Each year we award over $2 million dollars in scholarships, awards and bursaries to first-year students. Check out our financial aid webpages for ways to pay for college and the full list of available scholarships, awards and bursaries.
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Admission Requirements
- College advanced diploma (three-year) or bachelor's degree or demonstrated, relevant work experience (resumé and references required).
English Language Proficiency
Applicants with international transcripts who do not provide English language proficiency test results must test at the college level in the George Brown College English assessment to be considered. In addition, applicants who are considered for admission to the program based solely on their work experience will be required to provide proof of English proficiency at the college level, and may be required to write the English admission assessment.
Please review our English proficiency requirements for more details.
Course Exemptions
Some college and university credits may qualify you for exemptions. Please see our Transfer guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Program Learning Outcomes
The graduate demonstrates the ability to:
- Extract, transform and load data to more efficiently support problem-solving and decision-making.
- Warehouse and mine data for the purpose of business decision-making.
- Develop classification and/or predictive models using operational and marketing data in support of business decision-making.
- Determine, using a variety of business intelligence tools, the most appropriate for each business decision-making scenario.
- Effectively communicate analytics results and conclusions orally, in written reports and in formal presentations to various levels of staff and management.
- Apply descriptive and differential statistical techniques to Big Data.
- Analyze and interpret digital information as it relates to all aspects of an organization.
- Apply the principles of business ethics and corporate social responsibility to the application and use of data to support business decision-making.
Contact Us
Analytics for Business Decision-Making (Postgraduate) (B412)
For inquiries related to this program (for example, course-specific information) please contact the co-ordinators:
Robin Yap
Email: ryap@georgebrown.ca
Social Channels:
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
Visit Our Campus
This program is offered out of our School of Management and classes usually take place at our St. James Campus, mainly at 200 King St. E., and 290 Adelaide St. E., Toronto, Ontario, Canada.
Campus tours are offered on a regular basis. Sign up today! You can also check out our virtual tour.
Visit St. James Campus
Book campus tourVisit St. James Campus
Our Virtual Tour showcases the following areas:
- Campus Facilities
- Student Services
- Applied Learning Environments
- Labs & Classrooms
Analytics for Business Decision Making
(Postgraduate) (B412)
Program Details
- Program Code: B412
- Credential: Ontario College Graduate Certificate
- Duration: 8 months (2 semesters)
- Method of Study: Full-time
- Starting Months: January, May, September
- Domestic Tuition: $4,556.00 *
- International Tuition: $17,212.00 **
Program Availability
| Semester | Domestic | International |
|---|---|---|
| Fall 2022 | Closed | Closed |
| Winter 2023 | Closed | Closed |
| Spring 2023 | Closed | Closed |
- Work-Integrated Learning:
Simulated Learning Environment
- PGWP Eligible: No
Program Description
Program Overview
Harnessing the power of big data analytics, the Analytics for Business Decision-Making eight-month graduate certificate program in Toronto prepares students to do data analysis specific to multifaceted business decision-making needs. This big data analytics program is about developing information into knowledge and converting that intelligence into action. This program is delivered in a blended hybrid format, combining face-to-face sessions with online delivery. Graduates will be prepared for careers in this high-demand area and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management, and data science.
Full Description
The need for graduates with skills in the area of business analytics is growing rapidly across all industry sectors. Harnessing the power of big data analytics, the Analytics for Business Decision-Making graduate certificate program prepares students to do data analysis specific to multifaceted business decision-making needs. It is about developing information into knowledge and converting that intelligence into action. The goal is to prepare the student to engage and to be competitive across various business divisions with the ability to “tell stories” about data, which assist decision-makers in their own activities. Through in-depth data analytics courses and business analytics courses, graduates will be prepared to work in the high demand area of business intelligence in Toronto, in Canada and beyond, and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management and data science.
In this business analytics program, the focus will be on skills development, technical and otherwise, including analytic understanding and dissemination for various business uses. A bold mix of skills, including some programming, applied statistical comprehension and database understanding, will be explored in the context of organizational Big Data (Operational) requirements.
Delivery
- This full-time program is delivered in a blended format, combining face-to-face sessions with online delivery.
- You will generally meet late afternoons, evenings and weekends. This delivery format accommodates those who wish to work while taking this program.
Program Requirements
The Analytics for Business Decision-Making program is offered approximately 40 percent online. Students will require a laptop computer.
This Centre for Business program is part of our School of Management.
Minimum computing requirements
- a PC running Windows 8 or higher with 8MB RAM and an i5 processor
- Microsoft Windows® 10 or Server 2016 +
- 64-bit versions of Windows
- web camera and microphone
- PC Version Microsoft Office including Access (as provided by George Brown via limited Student Office 365 versions)
For students who prefer Apple/Mac environments, it is necessary to ALSO have the following:
- Bootcamp/Parallels
- a copy of Windows 10
- Microsoft Office including Access (students should have a PC version from GBC Apps Anywhere as Mac versions sometimes do not have the same depth in capability.)
Watch our past recording of the online info session for the Analytics for Business Decision-Making program.
Your Field Education Options
The BUS 4045 Data Project Capstone Project is a self-directed, faculty-guided research and analytics project where you will support an important business decision. You will demonstrate your ability to analyze real-world data and make meaningful business recommendations based on client feedback and interaction. This valuable work experience can, in turn, be added to your resumé.
The Analytics Hub brings students, faculty, and industry together to derive actionable insights and tell stories about data from both private and public sources.
Career & Postgraduate Study Opportunities
Educational Pathways
For information on future study options, see our Transfer guide.
Courses
Semester 1
| Code | Course Name |
|---|---|
| BUS 4022 | Programming Fundamental for Analytics |
| BUS 4046 | Introduction to Business Analytics |
| BUS 4047 | Applied Business Communication |
| COMP4007 | Comp Appl. Involving Analytics |
| MGMT4030 | Business Research |
| MGMT4084 | Digital Media Analysis |
| STAT4001 | Statistics I For Analytics |
Semester 2
| Code | Course Name |
|---|---|
| BUS 4023 | Bus Web & Soc Med Metr & Analy |
| BUS 4024 | Bus Dec-Making Thru Adv Analy |
| BUS 4045 | Capstone Project |
| COMP4008 | Adv.Comp.App.Involv. Analytics |
| MARK4018 | Data Mining & Modeling |
| MGMT4083 | Business Metrics |
| STAT4003 | Statistics LI For Analytics |
Course Outline URL
Program Learning Outcomes
The graduate demonstrates the ability to:
- Extract, transform and load data to more efficiently support problem-solving and decision-making.
- Warehouse and mine data for the purpose of business decision-making.
- Develop classification and/or predictive models using operational and marketing data in support of business decision-making.
- Determine, using a variety of business intelligence tools, the most appropriate for each business decision-making scenario.
- Effectively communicate analytics results and conclusions orally, in written reports and in formal presentations to various levels of staff and management.
- Apply descriptive and differential statistical techniques to Big Data.
- Analyze and interpret digital information as it relates to all aspects of an organization.
- Apply the principles of business ethics and corporate social responsibility to the application and use of data to support business decision-making.
Tuition & Fees
Domestic Tuition
$4,556.00 *
International Tuition
$17,212.00 **
Additional Costs
* Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2021. Fees are subject to change for programs starting in Fall 2022 and at later dates.
** Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2022. Fees are subject to change for programs starting in Fall 2023 and at later dates.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Admission Requirements
- College advanced diploma (three-year) or bachelor's degree or demonstrated, relevant work experience (resumé and references required).
English Language Proficiency
Applicants with international transcripts who do not provide English language proficiency test results must test at the college level in the George Brown College English assessment to be considered. In addition, applicants who are considered for admission to the program based solely on their work experience will be required to provide proof of English proficiency at the college level, and may be required to write the English admission assessment.
Please review our English proficiency requirements for more details.
Course Exemptions
Some college and university credits may qualify you for exemptions. Please see our Transfer guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Contact Us
Analytics for Business Decision-Making (Postgraduate) (B412)
For inquiries related to this program (for example, course-specific information) please contact the co-ordinators:
Robin Yap, Program Co-ordinator
Email: ryap@georgebrown.ca
Elizabeth Speers, Academic Director
Email: espeers@georgebrown.ca
Social Channels:
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
Visit Our Campus
This program is offered out of our School of Management and classes usually take place at our St. James Campus, mainly at 200 King St. E., and 290 Adelaide St. E., Toronto, Ontario, Canada.
Campus tours are offered on a regular basis. Sign up today! You can also check out our virtual tour.
Program Description
Program Overview
Harnessing the power of big data analytics, the Analytics for Business Decision-Making eight-month graduate certificate program in Toronto prepares students to do data analysis specific to multifaceted business decision-making needs. This big data analytics program is about developing information into knowledge and converting that intelligence into action. This program is delivered in a blended hybrid format, combining face-to-face sessions with online delivery. Graduates will be prepared for careers in this high-demand area and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management, and data science.
Full Description
The need for graduates with skills in the area of business analytics is growing rapidly across all industry sectors. Harnessing the power of big data analytics, the Analytics for Business Decision-Making graduate certificate program prepares students to do data analysis specific to multifaceted business decision-making needs. It is about developing information into knowledge and converting that intelligence into action. The goal is to prepare the student to engage and to be competitive across various business divisions with the ability to “tell stories” about data, which assist decision-makers in their own activities. Through in-depth data analytics courses and business analytics courses, graduates will be prepared to work in the high demand area of business intelligence in Toronto, in Canada and beyond, and learn the knowledge and skills needed to support real-world business decision-making and planning through data insights, data management and data science.
In this business analytics program, the focus will be on skills development, technical and otherwise, including analytic understanding and dissemination for various business uses. A bold mix of skills, including some programming, applied statistical comprehension and database understanding, will be explored in the context of organizational Big Data (Operational) requirements.
Delivery
- This full-time program is delivered in a blended format, combining face-to-face sessions with online delivery.
- You will generally meet late afternoons, evenings and weekends. This delivery format accommodates those who wish to work while taking this program.
Program Requirements
The Analytics for Business Decision-Making program is offered approximately 40 percent online. Students will require a laptop computer.
This Centre for Business program is part of our School of Management.
Minimum computing requirements
- a PC running Windows 8 or higher with 8MB RAM and an i5 processor
- Microsoft Windows® 10 or Server 2016 +
- 64-bit versions of Windows
- web camera and microphone
- PC Version Microsoft Office including Access (as provided by George Brown via limited Student Office 365 versions)
For students who prefer Apple/Mac environments, it is necessary to ALSO have the following:
- Bootcamp/Parallels
- a copy of Windows 10
- Microsoft Office including Access (students should have a PC version from GBC Apps Anywhere as Mac versions sometimes do not have the same depth in capability.)
Watch our past recording of the online info session for the Analytics for Business Decision-Making program.
Your Field Education Options
The BUS 4045 Data Project Capstone Project is a self-directed, faculty-guided research and analytics project where you will support an important business decision. You will demonstrate your ability to analyze real-world data and make meaningful business recommendations based on client feedback and interaction. This valuable work experience can, in turn, be added to your resumé.
The Analytics Hub brings students, faculty, and industry together to derive actionable insights and tell stories about data from both private and public sources.
Career & Postgraduate Study Opportunities
Educational Pathways
For information on future study options, see our Transfer guide.
Courses
Semester 1
| Code | Course Name |
|---|---|
| BUS 4022 | Programming Fundamental for Analytics |
| BUS 4046 | Introduction to Business Analytics |
| BUS 4047 | Applied Business Communication |
| COMP4007 | Comp Appl. Involving Analytics |
| MGMT4030 | Business Research |
| MGMT4084 | Digital Media Analysis |
| STAT4001 | Statistics I For Analytics |
Semester 2
| Code | Course Name |
|---|---|
| BUS 4023 | Bus Web & Soc Med Metr & Analy |
| BUS 4024 | Bus Dec-Making Thru Adv Analy |
| BUS 4045 | Capstone Project |
| COMP4008 | Adv.Comp.App.Involv. Analytics |
| MARK4018 | Data Mining & Modeling |
| MGMT4083 | Business Metrics |
| STAT4003 | Statistics LI For Analytics |
Course Outline URL
Tuition & Fees
Domestic Tuition
$4,556.00 *
International Tuition
$17,212.00 **
Additional Costs
* Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2021. Fees are subject to change for programs starting in Fall 2022 and at later dates.
** Amounts listed are the total of tuition, materials, student service and ancillary fees for the first two semesters of programs starting in Fall 2022. Fees are subject to change for programs starting in Fall 2023 and at later dates.
International Students
Visit the International Fees and Related Costs page for more information.
Financial Assistance
This program is approved for OSAP funding, provided the applicant meets OSAP eligibility criteria.
Admission Requirements
- College advanced diploma (three-year) or bachelor's degree or demonstrated, relevant work experience (resumé and references required).
English Language Proficiency
Applicants with international transcripts who do not provide English language proficiency test results must test at the college level in the George Brown College English assessment to be considered. In addition, applicants who are considered for admission to the program based solely on their work experience will be required to provide proof of English proficiency at the college level, and may be required to write the English admission assessment.
Please review our English proficiency requirements for more details.
Course Exemptions
Some college and university credits may qualify you for exemptions. Please see our Transfer guide for more information.
International Students
Visit the International Admissions page for more information regarding country specific admission requirements.
How to Apply
Domestic students should apply through Ontario Colleges.
International Students
Visit the How to Apply page for more information on how and when to apply.
International students should apply through the George Brown Polytechnic Online Application System.
Program Learning Outcomes
The graduate demonstrates the ability to:
- Extract, transform and load data to more efficiently support problem-solving and decision-making.
- Warehouse and mine data for the purpose of business decision-making.
- Develop classification and/or predictive models using operational and marketing data in support of business decision-making.
- Determine, using a variety of business intelligence tools, the most appropriate for each business decision-making scenario.
- Effectively communicate analytics results and conclusions orally, in written reports and in formal presentations to various levels of staff and management.
- Apply descriptive and differential statistical techniques to Big Data.
- Analyze and interpret digital information as it relates to all aspects of an organization.
- Apply the principles of business ethics and corporate social responsibility to the application and use of data to support business decision-making.
Contact Us
Analytics for Business Decision-Making (Postgraduate) (B412)
For inquiries related to this program (for example, course-specific information) please contact the co-ordinators:
Robin Yap, Program Co-ordinator
Email: ryap@georgebrown.ca
Elizabeth Speers, Academic Director
Email: espeers@georgebrown.ca
Social Channels:
International Students
Contact one of our international recruitment representatives specializing by country of origin by either booking a virtual meeting or submitting an inquiry. For more information visit the International Contact Us page
Visit Our Campus
This program is offered out of our School of Management and classes usually take place at our St. James Campus, mainly at 200 King St. E., and 290 Adelaide St. E., Toronto, Ontario, Canada.
Campus tours are offered on a regular basis. Sign up today! You can also check out our virtual tour.
Visit St. James Campus
Book campus tourVisit St. James Campus
Our Virtual Tour showcases the following areas:
- Campus Facilities
- Student Services
- Applied Learning Environments
- Labs & Classrooms