Data Analytics Post-Graduate Certificate banner image Data Analytics Post-Graduate Certificate banner image Data Analytics Post-Graduate Certificate banner image

Data Analytics Post-Graduate Certificate

We are now accepting applications for the 2024/2025 academic year

Start Date: September

Location: Tourism & Culinary Centre

Length: 1 Year

Credential: Post-Graduate Certificate, Data Analytics

Program Availability: Fall 2024 Term

Canadian Applicants

International Applicants

Learn to Make Data-Driven Decisions

As a Data Analyst, you will analyze information and data to prepare thoughtful insights and recommendations.  

Learn how to use historical and current data to predict future outcomes. You’ll learn to collect, sort, and analyze data efficiently and use predictive analytic techniques like statistical modelling and forecasting to prepare insights, predict problems, and improve outcomes. 

You'll learn prescriptive analytics tools to apply logic and mathematical principles to data. You'll study optimization and simulation techniques and prepare recommendations to support decision-making processes.

Gain Experience & Industry Certifications

You’ll explore advanced concepts in data analytics to learn how natural language processing, deep learning, and artificial intelligence can be integrated into research and reporting. You’ll also complete IBM Skills Academy certifications, ensuring you have the latest industry-standard processes and techniques to give you a competitive edge in the job market.  

At the end of the year, you will complete a capstone project, which gives you the opportunity to demonstrate a comprehensive understanding of the skills you have developed. In addition, you’ll have access to the college’s Business Analytics Centre for use with industry-based clients.

Become a Data Analyst

Graduates of this program will possess the knowledge, skills, and aptitude to apply fundamental principles of data analytics, aligning data with business decision-making processes.  

Students are required to bring their own laptops for this program. See a complete breakdown of technical requirements under the tuition and fees tab. 


  • 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

2023/2024 Academic Year

Tuition, fees, and other costs are listed in Canadian dollars. International tuition includes the International Student Fee.

1 Year



Tuition $7,121 $12,221
Fees $797 $1,547
Other Costs $664 $664
Total $8,582 $14,432


Students are required to bring their own laptop which must meet the following technical specifications:

  • Processor with minimum 4 cores or more, Intel Core i5 10th generation, AMD Ryzen 5 5000 Series or equivalent
  • Minimum 12GB RAM
  • 512GB SSD or NVME
  • 802.11 ac Wireless
  • Minimum 1 USB 3.0 port
  • Integrated or External Webcam
  • Audio headset
  • Windows 10/11 Home or Professional Operating System with latest updates applied

Canadian Cost Breakdown

Tuition & Fees

1 Year

Tuition $7,121
Student Union Fee $172
Health & Dental Insurance $445
Fitness Fee $80
Graduation Fee $100
     Subtotal $7,918

1st installment due September 5


2nd installment due January 8


Other Costs

Books $500
On-Site Parking $164
     Subtotal $664
Total $8,582

International Cost Breakdown

Tuition & Fees

1 Year

Tuition* $12,221
Student Union Fee $172
Health & Dental Insurance $1,195
Fitness Fee $80
Graduation Fee $100
     Subtotal $13,768

1st installment due September 5

$ 10,920

2nd installment due January 8


Other Costs

Books $500
On-Site Parking $164
    Subtotal $664
Total $14,432

*Includes the International Student Fee.

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

Course Code

Course Name & Description

Credit Values

Course Code:SAFE-1005

PEI Occupational Health and Safety

An overview of the Occupational Health and Safety Act of Prince Edward Island. Students examine the legislation, how PEI employees are protected while on the job and the responsibilities of employees and employers.

Credit Values:0

Course Code:BUSI-3000

Business Principles

The Business Principles course provides an,overview of business organizational elements,,behaviours and practices as applied in Canada and,globally.


Course Code:DATA-3100

Data Literacy

In this course, you will learn data manipulation,and modelling skills. You will gain insights into,the formats and styles of data that can be,collected, developed, and queried. Using data,analysis, you will develop a story that can be,communicated to inform organizational decisions.


Course Code:DATA-3105

Business Context for Data Analysis

Introduces the use of data to meet the needs of an,organization and apply data in decision making.,Understand a balanced approach to integrating data,decisions in business processes and strategic,alignment.


Course Code:DATA-3110

Statistical Analysis of Data

Using statistical methods to sort, summarize, and,gain insight into data. Using various statistical,methods to analyze data sets with the purpose of,communication to business decision makers.


Course Code:DATA-3115

Predictive Analytics

This course will cover essential analytics models,to collect and analyze data efficiently. This will,require skills in predictive analytics models,,such as data mining, data collection and,integration, nodes, and statistical analysis.,Tools for market research and data mining in order,to predict problems and improve outcomes will be,used.


Course Code:DATA-3200

Business Analytics With Excel

Using Excel and associated plug-in tools, students,will learn how this popular and industry standard,software program can be used effectively to,analyze data. Running models and analysis tools,within the Excel program to present processed data,to decision makers.


Course Code:DATA-3205

Business Intelligence Reporting

This course provides professional report authors,an opportunity to learn report-building techniques,using relational data models. Attendees will also,learn techniques to enhance, customize, and manage,professional reports.


Course Code:DATA-3210

Advanced Concepts in Data Analytics

In this course students will explore advanced data,analysis concepts including aching learning,,natural language processing, deep learning,,artificial intelligence, and probabilistic,programming. Students will also examine trends in,predictive and prescriptive analytics, as well as,developments in loT and cloud computing.


Course Code:DATA-3215

Data Analytics Capstone Project

This capstone project for the Data Analytics,program presents the framework for students to,complete a synthesis of the program outcomes and,learning in a final, demonstrative manner.