Graduate Certificate - Data Analytics (DA511) at Humber Polytechnic - Program overview

This program is currently under review and being updated. For the most up-to-date information, please contact us.

Program overview

Admission Requirements

Intakes

Last updated on 2026-03-12

Program overview

Program Overview

In today’s fast-paced business environment, organizations must stay ahead of the curve by leveraging the power of data. The Graduate Certificate in Data Analytics program is designed to equip students with essential skills needed for data-driven decision-making. This one-year program focuses on extracting valuable insights from complex datasets, enhancing operational efficiency, and driving innovation. Students will gain practical experience in data modeling, database management, machine learning, and data visualization. The curriculum covers the entire analytics process, from data gathering to applying advanced analytical techniques and presenting insights to stakeholders. Graduates will be prepared to tackle real-world challenges and deliver data-driven solutions that optimize business performance and support strategic goals.

Program Structure

The Graduate Certificate in Data Analytics program is structured to provide a comprehensive learning experience over a period of two semesters. The program offers flexibility with two delivery options: Twilight-Online or in-person. Key features of the program structure include:

Program Length: 2 semesters
Delivery Options: Twilight-Online or in-person
Work-Integrated Learning: Opportunities for field experiences, professional practicums, and optional co-operative education

This structure ensures that students not only learn theoretical concepts but also apply their knowledge in real-world settings, enhancing their employability upon graduation.

Featured Experiences

The Graduate Certificate in Data Analytics program offers several unique features that enhance the learning experience:

Work-Integrated Learning (WIL): Students engage in practical experiences through partnerships with industry, allowing them to apply classroom knowledge in real-world scenarios.
Field Experiences: Opportunities to participate in intensive experiences related to their field of study, which may be paid or unpaid.
Professional Practicum: Students gain practice-based experience under the supervision of experienced professionals.
Optional Co-operative Education: Students can gain paid work experience in their field of study, with progressively complex roles as their skills develop.

Career Options

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

Data Analyst: Analyze data to provide actionable insights that drive business decisions.
Business Intelligence Developer: Design and implement strategies to improve data management and reporting.
Business Analyst: Evaluate business processes and identify areas for improvement through data analysis.
Supply Chain Analyst: Use data analytics to optimize supply chain operations and reduce costs.
Data Visualization Specialist: Create visual representations of data to help stakeholders understand complex information.

These roles are in high demand across various sectors, including retail, financial services, healthcare, and transportation, providing graduates with numerous opportunities for career advancement.

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

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Last updated on 2026-03-12

Program overview

Academic Requirements

To be eligible for the Graduate Certificate - Data Analytics (DA511) program, applicants must meet the following academic requirements:

Possess a bachelor’s degree or advanced diploma.
International Academic Equivalencies:
- Degree or college diploma and transcripts (depending on program of interest).

For international students, particularly those from Vietnam and other Asian countries, it is essential to ensure that your academic credentials are equivalent to the Canadian standards. If you have any questions or need assistance with the evaluation of your transcripts, please reach out to LOA Portal's advisors for clarification and support.

Additionally, please note that transcripts may be required to be evaluated by WES in some cases. This evaluation is crucial for ensuring that your previous education meets the program's requirements.

For any further details or specific inquiries regarding prerequisite courses or other requirements, we encourage you to contact LOA Portal's advisors who are here to assist you in your application process.

Language Requirements

If English isn’t your first language or if you studied in another language, you must show proof of English proficiency through an approved evaluation. The following English proficiency tests are accepted for the Graduate Certificate - Data Analytics (DA511) program:

CAEL Online or In-Person: Overall band score of 70
Cambridge English Tests: C1 Advanced / C2 Proficiency 176 (with no single subscore below 169)
Duolingo Language Test: 125 and above
Humber English for Academic Purposes Pathway Program (EAP): Successful completion of all EAP courses with a minimum grade point average (GPA) of 80% in Level 8
IELTS Academic Level: Overall 6.5 AND No band below 6.0
LanguageCert Academic LCA: Overall 70-74 with no skill under 65
MET: 62
PTE Academic: 61 - 64
TOEFL Academic Level: 580 for paper-based test OR 88 (22L, 22W, 22S, 22R) for internet-based test
Integrated Skills in English (ISE): Overall score of 96 and a minimum score of 90 in each skill

*For admission purposes, some programs may require a higher score than the minimum scores stated above.

Please check with our team for more details.

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!