Artificial Intelligence and Data Analytics Post Graduate Certificate / Artificial-intelligence-and-data-analytics / Full-Time Programs / Academics /
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Learn how to turn data into insight using today’s most in-demand analytics and artificial intelligence tools.

In this program, you’ll develop the skills to collect, transform, analyze, and visualize business data, using data science, machine learning, and AI techniques to support informed decision making.

You’ll explore how data analytics and AI are applied across business functions such as marketing, human resources, supply chain management, and production support, and learn to align data strategies with organizational goals.

  • September 2026

    Tourism & Culinary Centre

    Program Length

    1 Year

    Credential

    Post-Graduate Certificate, Data Analytics

    Canadian Tuition

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    International Tuition

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    Canadian Applicants

    Accepting Applications

    International Applicants with a Valid Study Permit

    Accepting Applications

    Other International Applicants

    Waiting list

  • Admissions Requirements

    • Post-secondary diploma or degree
    • Résumé including work and volunteer experience with applicable dates, membership in groups, associations or athletics, awards and distinctions, and any other information about yourself relevant to the program.

     

    Technology Requirements:
    Students are required to bring their own laptop to class daily. The minimum requirements for this device are:
    • Intel I5 or Ryzen 5
    • 16GB memory
    • 256GB HD

     

    Notes:
    • Preference will be given to applicants who have a post-secondary background in computer science (such as CIS or CNET), information systems, statistics and/or mathematics
    • If your first language is not English, please review our English Language Requirements
    • Don’t have the courses you need to get into this program? Visit our academic upgrading section to learn how to upgrade high school credits or get your high school equivalency credential (CAEC).

  • Program courses

    Course Code

    Course Name & Description

    Credit Values

    SAFE-1005

    PEI Occupational Health and Safety

    An overview of the Occupational Health and Safety Act...

    0

    DATA-3120

    Business Math and Data Analytics

    Learn the essential skill of estimating costs and~benefits for a process change. Build knowledge and~skills in these areas: querying from existing data~sources, outlining assumptions, developing cost~benefits models, analyzing outcomes over multiple~years, separating assumptions from the model, and~developing flexible formulae. This course will~include an introduction to relational databases~and advanced use of spreadsheet software.

    3.00

    DATA-3125

    Data Engineering

    Study the conversion of business questions into~data mining problems. Identify sources of an~organization's data and use strategies to~transform that data into a meaningful format for~data mining.Develop an understanding of data~modeling and transformation.

    3.00

    DATA-3130

    Programming for Data Science

    Discover strategies to leverage programming for~data science. Explore and visualize real data and~become acquainted with data structures such as the~list, dictionary, and the DataFrame. Become~familiar with key concepts such as Boolean logic,~control flow, and loops and use GIT, an~open-source version control system, to update and~manage the versions of your source code.

    3.00

    DATA-3135

    Web Analytics and Business Intelligence~Tools

    Study the importance of business intelligence to~the modern enterprise. Discover methods to report~information effectively based on audience~characteristics by leveraging modern business~intelligence (BI) tools.

    3.00

    DATA-3140

    Business Technology Communications

    Use digital tools to communicate information~effectively to diverse audiences. Learn to adapt~business communication principles to various~technological applications and modalities,~including diagrams, data visualizations, written~reports, and presentations.

    3.00

    DATA-3220

    Enterprise Data Architecture

    Explore enterprise data architecture and~associated technologies. Studies will include the~fundamentals of relational data models and a~discussion of the problems of redundancy and~fragmentation. Examine the role of non-relational~data models within organizations. Discover data~solution approaches such as data warehouses, data~marts, data lakes and decentralized data models~for micro services.

    3.00

    DATA-3225

    Introduction to Artificial Intelligence

    Explore the core concepts of Artificial~Intelligence (AI), including Neural Networks (NN),~Knowledge Representation, Computer Vision (CV),~and Natural Language Processing (NLP). Implement~common CV and NLP applications, including image~recognition, object detection, sentiment analysis,~and product recommendations.

    3.00

    DATA-3230

    Machine Learning

    Explore the foundational principles of machine~learning through hands-on applications of~predictive and classification algorithms. Learn~data preprocessing techniques to enhance model~performance, build and evaluate regression and~classification models, and fine-tune them for~optimal results. Additionally, explore~unsupervised machine learning techniques.

    3.00

    DATA-3235

    Artificial Intelligence for Management~and Ethical Issues

    Study the emerging application of Artificial~Intelligence (AI) to business areas. Examine~applications for marketing, human resources and~talent management, supply chain management and~production support. Learn key concepts in ethics~and responsible AI. Examine privacy and security~in the digital world.

    2.00

    DATA-3240

    Capstone Project

    Learn to work in a group to plan and execute a~major Artificial intelligence and Data analytics~project. Manage and monitor the project and~produce documentation to communicate effectively~with your stakeholders.

    4.00

    NCPR-3030

    Data Privacy and Security

    Students learn the principles and application of~PIPEDA.

    0.00

Upon successful completion of the program, graduates will be able to:

  • Analyze and interpret business data to support decision-making by applying data science and AI methodologies, including extract-transform-load (ETL) processes, data modeling, and predictive techniques.
  • Examine how data analytics and AI solutions can be applied to business processes across marketing, human resources, supply chain management, and production support, and describe alignment between data strategies and organizational goals.
  • Design and deliver stakeholder-ready presentations that communicate data and AI-driven insights effectively through dashboards, visualizations, and storytelling tailored to business audiences.
  • Perform statistical, algorithmic, and AI-based analyses on diverse data sets—including cloud-based and on-premises sources—using appropriate tools and techniques to generate actionable insights.
  • Evaluate and compare machine learning and artificial intelligence approaches for data analytics applications, assessing their characteristics, limitations, and performance for specific use cases.
  • Use industry-recognized tools and platforms to extract, transform, analyze, and visualize data, ensuring reproducibility, accuracy, and clarity in reporting.
  • Apply ethical considerations, privacy concerns, and security issues related to AI and data analytics systems, and describe responsible AI principles and frameworks.
  • Apply business mathematics and financial analysis techniques, including cost-benefit analysis, return on investment calculations, and time value of money, to evaluate data-driven initiatives.

You’ll learn skills that you can apply to projects in a wide range of industries, and then you’ll put your new applied learning to the test by completing a capstone project with an industry partner. Not only will your capstone project give you the opportunity to demonstrate a comprehensive understanding of the skills you have developed, you’ll meet key players in local organizations so that you can start building your professional network.

In addition, you’ll have access to the college’s Business Analytics Centre for use with industry-based clients.

Graduates leave ready to bridge data and AI into actionable insights that drive business decisions.

  • Business analyst 
  • Data analytics analyst 
  • Data steward 
  • Business intelligence analyst 
  • Data and reporting analyst

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