Analytics for Business Decision Making Program
(Postgraduate) (Big Data Analytics) (Business Analytics)

  • Program Name:
    Analytics for Business Decision Making
  • Code: B412
  • Credential:
    Ontario College Graduate Certificate
  • Method of Study:
  • Duration:
    8 months (2 semesters)
  • Centre:
  • School: Management
  • Location: St. James Campus
  • Starting Months: January, September
  • Domestic Tuition:
  • Experiential Learning:

    Simulated Learning Environment

  • Spring 2022 Delivery:
    Semester 2: Choice

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Program Overview

Harnessing the power of big data analytics, the Analytics for Business Decision Making eight-month graduate certificate program prepares students to do data analysis specific to multi-faceted business decision making needs. It is about developing information into knowledge and converting that intelligence to action. This program is delivered in a blended format, combining face-to-face sessions with online delivery. Note that approximately 40% of courses are delivered strictly online. 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 multi-faceted business decision-making needs. It is about developing information into knowledge and converting that intelligence to action. The goal is to prepare the student to engage and 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.

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.


  • 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% 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 a 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.

Program Learning Outcomes

The graduate has reliably demonstrated the ability to:

  1. Extract, transform and load data to more efficiently support problem solving and decision-making.
  2. Warehouse and mine data for the purpose of business decision-making.
  3. Develop classification and/or predictive models using operational and marketing data in support of business decision-making.
  4. Determine, using a variety of business intelligence tools, the most appropriate for each business decision-making scenario.
  5. Effectively communicate analytics results and conclusions orally, in written reports and in formal presentations to various levels of staff and management.
  6. Apply descriptive and differential statistical techniques to Big Data.
  7. Analyze and interpret digital information as it relates to all aspects of an organization.
  8. Apply the principles of business ethics and corporate social responsibility to the application and use of data to support business decision-making.


Required Courses

In order to graduate, you need to complete the following 13 Mandatory courses.


Code Course Name (Mandatory) Pre-requisite
COMP 4007 Computer Applications Involving Analytics NONE
MARK 4005 Applied Business Communications NONE
STAT 4001 Statistics I for Analytics NONE
BUS 4022 Programming Fundamentals for Analytics NONE
MGMT 4084 Digital Media Analysis NONE
MGMT 4030 Business Research NONE


Code Course Name (Mandatory) Pre-requisite
MARK 4018 Data Mining & Modeling NONE
COMP 4008 Advanced Computer Applications involving Analytics COMP 4007
BUS 4023 Business, Web and Social Media Metrics and Analysis STAT 4001
BUS 4024 Business Decision-Making Through Advanced Analytics BUS 4022
MGMT 4083 Business Metrics MGMT 4030
STAT 4003 Statistics II for Analytics STAT 4001
BUS 4045 Data Project Capstone Project Completion of Semester 1

Career & Postgraduate Study Opportunities

Your Career

Graduates of this program will be prepared for careers in a variety of organizations such as marketing research firms, polling firms, branding/design firms, insurance and finance firms, loyalty programs (marketing), healthcare, public sector, manufacturing and supply chain.

Potential positions may include:

  • Business Analyst
  • Data Analyst
  • Market Risk Analytics Officer
  • Web Analytics Manager
  • Decision Support Specialist
  • Web Analyst
  • Data Reporting Analyst


Future Study Options

For information on future study options, see our transfer guide.

There are many pathways into the Analytics for Business Decision Making Graduate Certificate B412 program including work, college programs and university programs. After graduating from the program, students can begin their career.

Tuition and Fees

Domestic Tuition


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 2020. Fees are subject to change for programs starting in Fall 2021 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.

Disclaimer: The information contained in this website is subject to change without notice. It should not be viewed as a representation, offer or warranty. Students are responsible for verifying George Brown College fee requirements.

How to Qualify and Apply

Admission Requirements


  • College Advanced Diploma (3-year) or Bachelor's Degree or demonstrated, relevant work experience (resume 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 College Online Application System.

Student Success

Annissa Rodriguez, 2018 Graduate

This program is a foundation for success in the data analytics field. The teachers are personable, and really push you to your limits. In semester two of this program, a Capstone project is offered, which is a real-life job experience using data analytics. My partner Xavier and I took the most out of this experience. Our project was the only one in Canada to make it to the 2018 SAS Global Forum’s Student Symposium and won first place. Read more about Annissa and Xavier’s success at SAS Global Forum 2018.

Xavier Fu , 2018 Graduate

The faculty were instrumental to my success. They continually support and drive me towards reaching my goals and objectives. They teach not just the fundamentals of research, modelling, and storytelling techniques used in data analytics, but also the tools to be agile and adaptive in your future career. Always accommodating to my schedule, the staff allowed me the opportunity to have the full learning experience, while maintaining a full-time job and a data research project.

Kishawna Peck , 2016 Graduate

The Analytics for Business Decision Making program is geared to reducing the gap between business knowledge and analytic skills. I chose this program because I love to solve problems and enjoy business. My internship led to a full-time role as an analyst. In this program, you get a combination of understanding the 'why's' behind the analytics and learning how to actually use the different software for it. The students all come from different educational backgrounds, which allows you to bounce ideas off of each other and benefit from collaboration. This program has played a key role in launching my career and equipping me with the skills to solve complex business problems and provide meaningful insights.Read more about Kishawna's story.

Jayeeta Chakraborty , 2015 Graduate

The faculty in this program are just amazing. They bring years of experience from the industry. They help us, train us, make us ready to go out there and work. They share their experiences, they help us with networking. It’s just amazing! There are lot of things happening around here: a lot of networking events, job fairs, and I think that’s one of the greatest advantages of being in a college that’s in the heart of the city.Hear more about Jayeeta Chakarborty’s story in our video.

Jorge M. Rivera I, 2015 Graduate

The studies were my stairs to Business Analytics heaven. Thanks to the George Brown program I can solve problems using core data mining tools and I'm involved with people in the field. Now I'm more confident with my professional skills to build a bright future.

Contact Us

Information Sessions

On-campus information sessions are held on a regular basis. Come and have your questions answered. Learn about the program content and career options, meet your friendly professors and staff, and experience what it is like to be in a George Brown College classroom. Sign up for an upcoming session.

Domestic Student Admissions

For inquiries about domestic admission requirements, admission deadlines, or the admissions process, please contact the Admissions Office at or visit the Admissions section.

International Student Admissions

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.

Fees and Financial Information

For inquiries about OSAP, Bursaries, Scholarships and other financial inquiries, please contact the Financial Aid Office at or visit the Financial Aid section.

Entry Advising

For advice on the various program options and which program might be best suited for you, make an appointment to see an Entry Advisor. Please review these frequently asked questions.

Centre for Business

For questions regarding programs at the Centre for Business or if you require more information, please do not hesitate to contact us. Our knowledgeable staff are available to assist you.

For general inquiries, please contact the Centre for Business:
Phone: (416) 415-5000 ext. 2160

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

Elizabeth Speers, Academic Director

Social Channels:

Follow the Centre for Business on Instagram and LinkedIn

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 normally take place at our St. James Campus, mainly at 200 King St. E., and 290 Adelaide St. E., Toronto, ON, Canada, however for the winter 2022 term, classes will be held at our Casa Loma Campus.

Campus tours are offered on a regular basis. Sign up today! You can also check out our virtual tour.

Sign up and learn more about your options, our programs, and life at George Brown.