Graduate Certificate - Big Data Analytics (BDAT) at Georgian College - Program overview

Program overview

Admission Requirements

Intakes

Last updated on 2025-05-27

Program overview

Program Overview

The Big Data Analytics Ontario College Graduate Certificate program at Georgian College is designed to equip students with the essential skills needed to thrive in the rapidly growing field of big data. Dubbed the "sexiest job of the 21st century," this program focuses on teaching students how to collect, curate, manipulate, and analyze large datasets. By linking and presenting information in meaningful ways, students will learn to provide deeper insights that enable stakeholders to make informed decisions and predict trends. This unique blend of theoretical knowledge and practical skills prepares graduates for a variety of roles in diverse industries.

Program Structure

The Big Data Analytics program is structured to be completed in 1 year and offers both full-time and part-time study options. The program is delivered through a flexible learning model known as GC Flex, which allows students to participate in classes either on-campus or online. Key features of the program structure include:

Full-time and part-time options available
GC Flex delivery method for enhanced flexibility
Hands-on learning experiences with real-world data
Intakes available in Fall 2025, Winter 2026, and Summer 2026

This program is designed to provide students with a comprehensive understanding of big data analytics, ensuring they are well-prepared for the demands of the industry.

Featured Experiences

The Big Data Analytics program offers several unique experiences that enhance the learning process:

Applied learning model that allows students to work with organizations to solve real challenges.
Collaboration with expert faculty from various disciplines, including computer studies and business.
Completion of a capstone project that involves designing and implementing a big data analytics research project.
Opportunities to engage with industry professionals and build valuable connections.

These experiences not only enrich the educational journey but also prepare students for successful careers in big data analytics.

Career Options

Graduates of the Big Data Analytics program can pursue a variety of career paths in Canada, including:

Data Analyst: Collects and analyzes data to help organizations make informed decisions.
Business Analyst: Works with stakeholders to identify business needs and develop solutions based on data insights.
BI Developer: Designs and develops business intelligence solutions to support data-driven decision-making.
ETL Developer: Focuses on extracting, transforming, and loading data from various sources into data warehouses.
Data Visualization Developer: Creates visual representations of data to communicate findings effectively.

These roles are in high demand across various sectors, including government, healthcare, and marketing, making this program a valuable investment in your future career.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

Visit Georgian College official website

Last updated on 2025-05-27

Program overview

Academic Requirements

To apply for the Graduate Certificate in Big Data Analytics (BDAT) at Georgian College, prospective students must meet the following Academic Requirements:

Educational Background: Applicants must possess an Ontario College Diploma, Ontario College Advanced Diploma, Degree, or an equivalent qualification. It is recommended that applicants have a specialty in science, technology, engineering, mathematics, or business.
Personal Computer Requirement: Students are required to have a personal notebook computer (either PC or Mac architecture) prior to the start of the program that meets or exceeds the following hardware specifications:
- Intel i7 processor or AMD equivalent
- Dedicated graphics card/processor
- 16GiB of memory (32GiB recommended)
- 500GB hard drive (SSD recommended)

Transcripts may be required to be evaluated by WES in some cases.

For international students, it is advisable to contact LOA Portal's advisors for any clarification and support regarding specific requirements.

Students are encouraged to apply as soon as possible to ensure their place in this competitive program.

Language Requirements

At Georgian College, all applicants whose first language is not English must provide proof of English language proficiency. This is essential for those coming from countries where English is not an official language. Please check with our team for more details.

To meet Georgian's language proficiency requirements, applicants must fulfill one of the following criteria:

Completed three full years of study at the secondary school level in English in a country where English is a primary language.
Completed one full year of study in an accredited postsecondary program in English in a country where English is a primary language.
Possess an Ontario Secondary School Diploma (or Canadian provincial equivalent) with an English credit (Grade 12 U, M or C) issued by a public or Catholic school board.
Provide proof of graduation from one of the authorized Georgian College partner school pathway programs.
Completed three years of study at a secondary private school in Ontario and received an Ontario Secondary School Diploma and English credit (Grade 12 U, M or C).

Acceptable language tests include:

Duolingo Language Test: 130
TOEFL internet-based test (IBT): 89
TOEFL paper-based test: 580
IELTS Academic only: 6.5
Canadian Academic English Language (CAEL): 60
Pearson Test of Academic English (PTE): 61
Cambridge English: C1 Advanced (CAE): 175

Note: English language tests older than two years will not be considered.

Graduate Certificate - Big Data Analytics (BDAT)

The Graduate Certificate in Big Data Analytics (BDAT) at Georgian College is designed for individuals looking to enhance their skills in data analysis and management. This program is a postgraduate certificate that equips students with the necessary tools and techniques to analyze large datasets and derive meaningful insights.

Throughout the program, students will engage in hands-on learning experiences that cover various aspects of big data, including data mining, machine learning, and data visualization. The curriculum is tailored to meet the demands of the industry, ensuring that graduates are well-prepared for careers in data analytics.

Students will also have the opportunity to work on real-world projects, allowing them to apply their knowledge in practical settings. This program is ideal for those looking to advance their careers in the rapidly growing field of data analytics.

Upon completion, graduates will possess the skills needed to analyze complex data sets, make data-driven decisions, and contribute to the success of organizations in various sectors.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors. The listed minimum requirements are a guideline and do not guarantee admission. Do not worry, we will notify you of any changes during the application process.

Not meeting the minimum language requirements?

You may still be able to apply!

Last updated on 2025-12-06

Program overview

Intake	Status	Open date to apply	Deadline to apply	Campus
January 2026	Open	Not Available	Not Available	Not Available
May 2026	Open	Not Available	Not Available	Not Available
September 2026	Open	Not Available	Not Available	Not Available