Applied AI and Data Analytics for Decision-Making & Professional Communication

Learning and career growth

In this program, you will learn to:

• Collect, prepare, and manage datasets using appropriate data management and data quality practices.
• Apply analytical methods to explore datasets, identify patterns and generate actionable insights.
• Use data visualization techniques and tools to communicate analytical findings to technical and non-technical audiences.
• Use AI‐enabled analytical tools to support data exploration, modeling and productivity within analytics workflows.
• Evaluate data sources, analytical outputs, and AI‐assisted insights using principles of responsible data governance, ethics, privacy and bias mitigation.
• Develop data‐informed recommendations that support organizational and strategic decisions.

Duration and delivery

Delivery: Classroom/Face‐to‐Face

Admission requirements

Click here to review all general admission requirements

Steps to apply

1. Register for a MacEwan account to get started. You will be asked to provide personal information including your name, date of birth, and home address.
2. After you have registered and signed in, you will be asked to identify what program and term you are applying for.
3. Applicants must submit four documents (if applicable, provide the colour copy of the document):
   • Proof of academic credential. This includes a post secondary degree or equivalent in their original form, translated into English.
   • Your professional resume with at least one year work experience in industry.
   • Proof of English Language Proficiency. Successful applicants require a minimum English language proficiency of Academic IELTS 6.0 on each band or TOEFL/CBT 80.
   • Citizenship and immigration documents, which may include one of the following four options:
     • Landed Immigrant papers
     • Permanent Residency Card
     • Convention Refugee Documentation
     • Photocopy of Passport picture page
4. Identify your country of citizenship, your primary language, and an emergency contact.
5. Pay a non-refundable $110.00 application fee using a credit card or Interac online to complete your application.

For current international students please sign in with your current MacEwan account to apply for another program

Fees

Tuition fees are $18,700.00 (CAD). Fees are in Canadian dollars and are subject to change. Textbook costs and material fees are included. Program fee does not include accommodation or travel.

A non‐refundable $110.00 (CAD) Application Fee is required to assess your credentials and evaluate the application.

An additional $1,281.21 (CAD) is not included in the $18,700.00 fee. These are non‐academic fees* which include:

• Medical Clinic Fee – $5.00 (charged every term)
• SAMU Building Levy Fee – $35.00 (charged every term)
• Special Student Membership Fee – $172.57 (charged every term)
• UPass Fee – $180 (charged every term)
• Tech Fee – $34.50 (charged all three terms)

* Non-academic fees are subject to change. Non-academic fees are effective from the Winter 2026 intake onwards. Payment deadlines can be found in our FAQs.

Completion requirements

Applied AI and Data Analytics for Decision-Making courses

Module 1: AI Foundations

• DGDR 0102: Foundations of AI Literacy
• DGDR 0103: AI‐Enabled Workforce
• DGDR 0104: Prompting for AI Tools
• DGDR 0105: Responsible AI Use
• DGDR 0302: Responsible AI Governance

Module 2: Data Foundations

• DGDR 0109: Foundations of Data
• DGDR 0114: Data Management
• DGDR 0115: Data Quality and Integrity

Module 3: Data Applications

• DGDR 0303: Data Democratization
• DGDR 0304: Data Processing and Projections for Strategic Information
• DGDR 0116: Strategic Frameworks for Decision Making
• DGDR 0108: Data Driven Financial Decisions

Module 4: AI and Business Applications

• DGDR 0106: AI‐Informed Financial Modelling
• DGDR 0110: AI‐Aligned Design Thinking
• DGDR 0112: Adaptive Leadership
• DGDR 0117: Applied AI and Data Analytics for Decision-Making Capstone Project
• DGDR 0118: Work-Integrated Learning for Applied AI and Data Analytics for Decision‐Making

Capstone Project

The Capstone Project is completed in the classroom and provides hands-on opportunities to work with local organizations to apply in-class learning and gain relevant experience in a Canadian industry.

Work-Integrated Learning (WIL)

During the work‐integrated learning opportunity, you gain experience applying the knowledge and skills you developed in the program to a Canadian workplace environment. You are placed onsite into a partner organization to complete approximately 140 hours of work‐integrated learning. WIL is mandatory and is typically unpaid.