About this program

  • Credential Awarded: 1 Year Graduate Certificate
  • Campus: Niagara-on-the-Lake
  • Code: 0902 P0902
  • Delivery Length: 1 Year
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Overview

This eight-month graduate certificate program prepares learners for high-demand roles in data management and analytics.

Graduates will develop the skills to extract meaningful insights from large, complex data sets to support data-driven decision-making. Students will learn to collect, analyze, and visualize data to address current and emerging business challenges. The ability to interpret data and predict patterns is an increasingly critical skill in today’s data-centric world.

Highlights
  • Develop a comprehensive understanding of ethical data management, predictive analytics, and data visualization.

  • Designed for individuals from diverse academic and professional backgrounds seeking to enhance their analytical problem solving capabilities.

  • Engage in case studies and interactive labs that simulate real-world business scenarios.

  • Gain hands-on experience with software-based simulations that build competencies in team-based, real-time decision-making environments.

Career Opportunities
  • Business analyst
  • Business consultant
  • Data analyst
  • Decision analytics associate
  • Digital strategist
  • Performance analyst
  • Research associate
  • Sales and forecasting analyst
  • Website analytics associate
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Courses

Term one (2026 Winter)
Code Course Name Credits
DATA9100 Fundamentals of Data Analytics 3
DATA9115 Database Essentials 3
DATA9130 Data Ethics 3
DATA9140 Data Analytics and Decisions 3
DATA9150 Computer Applications in Data Analytics I 4
MATH1298 Statistics for Data Analytics 4
Term two (2026 Spring)
Code Course Name Credits
DATA9250 Computer Applications in Data Analytics II 3
DATA9260 Data Visualization and Communication 3
DATA9275 Predictive Analytics 4
DATA9280 Data Mining 3
DATA9290 Statistics and Modelling 3
DATA9330 Practices in Data Analytics 6
Learning Outcomes Term: 1261
  1. Collect, manipulate, and interpret qualitative and quantitative data to meet organizational need.

  2. Design and apply data models to meet diverse user requirements.

  3. Use current programming technologies to manipulate data sets, correlate information, and communicate results.

  4. Design and present data visualizations to communicate information to a wide range of audiences.

  5. Conduct evidence-based analysis to support decision-making in various contexts.

  6. Apply strategies for personal, career, and professional development to enhance work performance, maintain industry currency, and uphold data integrity, privacy, and transparency in data science practice.

  7. Assess the effectiveness of a machine learning model to improve decision-making.

  8. Cleanse and preprocess data to improve the accuracy of results.

  9. Conduct statistical analysis on mined data sets to guide evidence-informed decisions.

  10. Analyze different system architectures and data storage technologies to select suitable solutions to support data analytics.

  11. Implement basic machine learning algorithms to meet the needs of the predictive analysis process.

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Admission Requirements

  • Ontario College Diploma (or equivalent) or Bachelor’s Degree and
  • Proof of English proficiency
Recommended Courses and/or Skills:

These courses and skills may help you succeed academically in this program, but they are not required for admission.

  • Proficiency in Microsoft Excel
Selection and Ranking

Testing or other supplemental evaluation may be required.

Learn more about admission decisions.

Note

Most private college courses and/or credentials are not acceptable as admission requirements for Niagara College programs.

Please contact the Admissions office at [email protected] for assistance.

Computer Requirements

Students are responsible for ensuring that they have a Microsoft Windows-based desktop or laptop that meets or exceeds the following general requirements:

  • A desktop or laptop running on an updated Microsoft Windows operating system (Windows 11 recommended).
  • Minimum 256GB SSD storage and 8 GB memory (note that 16 GB memory is strongly recommended).
  • An integrated or peripheral video camera, microphone, and speaker system.
  • Reliable internet connectivity with Broadband capabilities. A minimum download speed of 10 – 50 Mbps is recommended.

Niagara College may not be able to provide support for systems different than the above specifications as provided software may not operate properly. Academic software for your courses will be made available for download and remote use. Access will also be provided to remote high performance computer labs if software downloads are not feasible.

Note: We do not provide support for Chromebooks or Apple products. (learn more)

Computer/technology requirements may be subject to change without notice.

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Availability

Domestic Applicants Apply
International Applicants Apply
Legendfor intake status table
Open

Accepting applications

Waitlisted

Eligible applications will be placed on a waiting list

Closed

Not accepting applications

Suspended

No longer offered this term

The College reserves the right to cancel or make changes to any course or program, fee, procedure, or campus location at any time.

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Tuition

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