Start Date: September
Location: Tourism & Culinary Centre
Length: 1 Year
Credential: Post-Graduate Certificate, Data Analytics
Program Availability: Fall 2026 Term
Canadian Applicants: Open
International Applicants with a Valid Holland »¢Ñ¨ÊÓƵStudy Permit: Open
Other International Applicants: Open
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.
Through hands-on learning, you’ll work with the latest tools to perform predictive and AI-driven analyses on real world data. You’ll also build the communication skills needed to present insights clearly and confidently through dashboards, visualizations, and storytelling tailored to business audiences. Ethical, privacy, and responsible AI principles are embedded throughout the program to prepare you for professional practice.
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.
Upon successful completion of the program, graduates will be able to:
1. 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.
2. 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.
3.Design and deliver stakeholder-ready presentations that communicate data and AI-driven insights effectively through dashboards, visualizations, and storytelling tailored to business audiences.
4. 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.
5.Evaluate and compare machine learning and artificial intelligence approaches for data analytics applications, assessing their characteristics, limitations, and performance for specific use cases.
6. Use industry-recognized tools and platforms to extract, transform, analyze, and visualize data, ensuring reproducibility, accuracy, and clarity in reporting.
7. Apply ethical considerations, privacy concerns, and security issues related to AI and data analytics systems, and describe responsible AI principles and frameworks.
8. 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.
Notes
Tuition, fees, and other costs are listed in Canadian dollars. International tuition includes the International Student Fee.
Fees are Program Based
|
1 Year |
Canadian |
International |
|---|---|---|
| Tuition | $7,408 | $13,528 |
| Fees | $828 | $1,578 |
| Other Costs | $664 | $664 |
| Total | $8,900 | $15,770 |
Students are required to bring their own laptop which must meet the following technical specifications:
|
Tuition & Fees |
1 Year |
|---|---|
| Tuition | $7,408 |
| Student Association | $178 |
| Health & Dental Insurance | $470 |
| Fitness Fee | $80 |
| Graduation Fee | $100 |
| Total (payable to Holland College) | $8,236 |
|
1st installment due first day of first semester (fall semester fees) |
$4,532 |
|
2nd installment due first day of second semester (winter and spring semester fees) |
$3,704 |
|
Other Costs |
|
| Books | $500 |
| On-Site Parking (payable to Holland College) | $164 |
| Total | $664 |
| Grand Total | $8,900 |
|
Tuition & Fees |
1 Year |
|---|---|
| Tuition* | $13,528 |
| Student Association | $178 |
| Health & Dental Insurance | $1,220 |
| Fitness Fee | $80 |
| Graduation Fee | $100 |
| Total (payable to Holland College) | $15,106 |
|
1st installment due first day of first semester (fall semester fees) |
$ 11,402 |
|
2nd installment due first day of second semester (winter and spring semester fees) |
$3,704 |
|
Other Costs |
|
| Books | $500 |
| On-Site Parking (payable to Holland College) | $164 |
| Total | $664 |
| Grand Total | $15,770 |
*Includes the International Student Fee.
Course Code:SAFE-1005
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Credit Value:0
Course Code:DATA-3120
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.
Credit Value:3
Course Code:DATA-3125
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.
Credit Value:3
Course Code:DATA-3130
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.
Credit Value:3
Course Code:DATA-3135
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.
Credit Value:3
Course Code:DATA-3140
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.
Credit Value:3
Course Code:DATA-3220
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.
Credit Value:3
Course Code:DATA-3225
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.
Credit Value:3
Course Code:DATA-3230
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.
Credit Value:3
Course Code:DATA-3235
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.
Credit Value:2
Course Code:DATA-3240
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.
Credit Value:4
Course Code:NCPR-3030
Students learn the principles and application of PIPEDA.
Credit Value:0
