DEVELOP SKILLS IN ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
Career City College’s Artificial Intelligence & Data Science Certificate prepares students to develop industry-relevant skills in data analysis, Artificial Intelligence, and data-driven decision-making used across modern industries. Students learn how to collect, analyze, interpret, and visualize data while exploring machine learning concepts and responsible AI practices. Graduates build a strong foundation in data science and AI technologies to support business processes and emerging digital environments.
Artificial Intelligence Foundations
Python & Data Programming
Data Preparation & Modeling
Data Science & Analytics
Data Visualization
Responsible & Ethical AI
Machine Learning Concepts
Statistical Analysis
Certification-Aligned Training
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Is Our Artificial Intelligence & Data Science Certificate Right for You?
Are interested in data analysis, artificial intelligence, or machine learning
Want hands-on training in data science tools and techniques
Enjoy working with data, patterns, and problem-solving
Are looking to upskill for a tech-focused role
Course Overview
The Artificial Intelligence & Data Science Certificate is designed for individuals who want to develop skills in data analysis and Artificial Intelligence used in today’s data-driven workplaces. This program introduces core concepts in data science, analytics, and AI to support informed decision-making across a wide range of industries.
Students learn how to analyze, interpret, and visualize data while exploring machine learning concepts and responsible AI practices. This certificate builds a strong foundation in data and AI-enabled business processes.
Prerequisites
- Applicants must have completed grade 12 or equivalent or have mature student status (at least 19 years old).
- Applicants must demonstrate English proficiency through any one of the following:
- 1. Completion of grades 9-11, including English 11 with a grade of ‘C’ or higher from a country where English is one of the principal languages.
- Completion of 2 years of full-time post-secondary education at an accredited institution where English is the language of instruction.
- Provide verified results for one of the English language proficiency tests listed below. Test results must be dated no more than two years before the start date of the program:
- IELTS Academic: overall score of 5.5 or higher.
- CAEL Test: Overall score of 40 or above.
- Duolingo English Test: Overall score of 95 or above.
- TOEFL iBT: 46 or above.
- CELPIP: Minimum scores – Listening-6, Speaking-6, Reading-5, Writing-5.
- Eiken: Pre-1.
- Cambridge FCE+: 160 or C | Cambridge Linguaskill – B2 or above.
- PTE: 43 or above.
- iTEP Academic: 3.5 or above.
- Mature student applicants: Applicant is 19 years or older at the start of the program and is a Canadian citizen or permanent resident who cannot access is their educational records or provide sufficient evidence of secondary or post-secondary education as outlined above:
- Applicant provides attestation that they have completed at least three years of full-time instruction in English in a country where the English is one of the principal languages, and
- Applicant completes an Accuplacer English Assessment (Next Generation: Reading, Writing and WritePlacer) and achieves the following minimum scores:
- Reading: 230
- Writing: 230
- WritePlacer: 4
Course Breakdown
AIS 100 – Introduction to Data ScienceExplore the fundamentals of data science, including data types, data analysis workflows, and how data is used to support decision-making
AIS 200 – Statistics for Data ScienceLearn essential statistical concepts and methods used in data science, including probability, hypothesis testing, and statistical analysis for interpreting real-world data.
AIS 300 – Linear Algebra for Data ScienceDevelop an understanding of key linear algebra concepts and how they are applied in data science and machine learning models.
AIS 350 – Python Essentials with Data AnalysisGain practical experience using Python for data analysis, including data manipulation, analysis, and basic automation techniques commonly used in data science workflows.
AIS 400 – Data Wrangling and VisualizationLearn how to clean, transform, and prepare data for analysis, and create visualizations that communicate insights clearly and effectively.
AIS 450 – Introduction to Artificial IntelligenceExplore foundational artificial intelligence concepts, including intelligent systems, AI applications, and the role of AI in modern data-driven environments.
AIS 460 – Information and Data ArchitectureUnderstand how data is structured, stored, and managed through effective data architecture to support accessibility, security, and system performance.
AIS 500 – Machine Learning and ModelingLearn the fundamentals of machine learning, including model development, evaluation, and application of algorithms to analyze data and generate insights.
AIS 520 – Mathematics for Artificial IntelligenceBuild a mathematical foundation for artificial intelligence by exploring key concepts that support data science, machine learning, and AI model development.
AIS 550 – Data Acquisition & ManagementLearn how data is collected, organized, stored, and managed to support analysis, reporting, and AI-driven applications across different data environments.
AIS 580 – R Programming LanguageDevelop practical skills using the R programming language for data analysis, statistical computing, and working with data in data science workflows.
Job Opportunities
Graduates of the Artificial Intelligence & Data Science Certificate may pursue roles that support data management, analysis, and database systems across industries.
Data Administrator: Manages and maintains data systems, ensuring data accuracy, accessibility, and proper storage across organizational platforms.
Data Custodian: Oversees data handling and protection, ensuring data is stored, accessed, and used in accordance with organizational policies and standards.
Data Miner: Analyzes large datasets to identify patterns, trends, and insights that support data-driven decision-making.
Data Processing Specialist: Processes, organizes, and validates data to ensure it is ready for analysis, reporting, and operational use.
Database Administrator (DBA): Maintains database systems by managing performance, security, backups, and system availability.
Database Architect: Designs and structures database systems to support data storage, scalability, and efficient access.
Database Designer: Develops database models and schemas that define how data is organized, stored, and related within systems.
Database Management Supervisor – Computer Systems: Oversees database operations and teams, ensuring database systems function efficiently and align with organizational needs.
Database Manager: Manages database environments, coordinating maintenance, upgrades, and data governance activities.
Electronic Data Processing (EDP) Analyst: Analyzes data processing systems and workflows to improve efficiency, accuracy, and system performance.
Electronic Data Processing (EDP) Specialist: Supports and operates data processing systems, ensuring smooth data flow and reliable system operation.
Information Resource Analyst: Evaluates and manages data resources to support information access, reporting, and business intelligence needs.
Technical Architect – Database: Designs and oversees complex database architectures that support enterprise systems, data integration, and performance requirements.
Learning Model
Tuition Details
Our Artificial Intelligence & Data Science program is available for the following price.
Domestic Student
$8,999.00 (including GST)
International Student
$9,374.00 (including GST)
All prices include books, materials, and GST.
Please visit our Finance Page to learn more about the many options that can help fund your education.
Financial Aid Options
Government Student Loans
The provincial and federal governments provide student loans! Loan amounts may vary depending on individual circumstances.*
Contact us today to learn what government student loans you are eligible for!
*Financial assistance is available for students that qualify. To determine your eligibility, please contact our Admissions Department.
Personal Funding Options
Don’t put your career on hold due to a lack of funding
There are many personal funding options available to you.
Contact us today to learn what personal funding options may be best for you
Public Funding Options
There are many public funding options available to you.
Contact us today to learn what public funding options may be best for you!
Disclaimer: This program has been approved by the Private Training Institutions Regulatory Unit (PTIRU) of the Ministry of Post-Secondary Education and Future Skills.
Why Choose Career City College
Flexible learning, experienced instructors, and career-focused programs built for real-world success.
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