Start Date: September
Location: Tourism & Culinary Centre
Length: 1 Year
Credential: Post-Graduate Certificate, Data Analytics
Program Availability: Fall 2024 Term
Canadian Applicants: Closed
International Applicants with a Valid Study Permit: Closed
Other International Applicants: Closed
Program Availability: Fall 2025 Term
Canadian Applicants: Open
International Applicants with a Valid Study Permit: Open
Other International Applicants: Open
As a student in this program, you will learn how to use historical and current data to predict future outcomes, as well as analyze information and data to prepare thoughtful insights and recommendations. 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.
Using prescriptive analytics tools, you will: apply logic and mathematical principles to data, study optimization and simulation techniques, and prepare recommendations to support decision-making processes. You’ll also explore advanced concepts in data analytics to learn how natural language processing, deep learning, and artificial intelligence can be integrated into research and reporting. Graduates of this program will possess the knowledge, skills, and aptitude to apply fundamental principles of data analytics, aligning data with business to make data-driven decisions.
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.
Upon successful completion of the program, graduates will be able to:
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 | $7,263 | $13,263 |
| Fees | $828 | $1,578 |
| Other Costs | $664 | $664 |
| Total | $8,755 | $15,505 |
Students are required to bring their own laptop which must meet the following technical specifications:
|
Tuition & Fees |
1 Year |
|---|---|
| Tuition | $7,263 |
| Student Union Fee | $178 |
| Health & Dental Insurance | $470 |
| Fitness Fee | $80 |
| Graduation Fee | $100 |
| Total (payable to Holland College) | $8,091 |
|
1st installment due first day of first semester |
$4,460 |
|
2nd installment due first day of second semester |
$3,632 |
|
Other Costs |
|
| Books | $500 |
| On-Site Parking (payable to Holland College) | $164 |
| Total | $664 |
| Grand Total | $8,755 |
|
Tuition & Fees |
1 Year |
|---|---|
| Tuition* | $13,263 |
| Student Union Fee | $178 |
| Health & Dental Insurance | $1,220 |
| Fitness Fee | $80 |
| Graduation Fee | $100 |
| Total (payable to Holland College) | $14,841 |
|
1st installment due first day of first semester |
$ 11,210 |
|
2nd installment due first day of second semester |
$3,632 |
|
Other Costs |
|
| Books | $500 |
| On-Site Parking (payable to Holland College) | $164 |
| Total | $664 |
| Grand Total | $15,505 |
*Includes the International Student Fee.
Course Code:SAFE-1005
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 Value:0
Course Code:BUSI-3000
The Business Principles course provides an overview of business organizational elements, behaviours and practices as applied in Canada and globally.
Credit Value:3
Course Code:DATA-3100
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.
Credit Value:3
Course Code:DATA-3105
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.
Credit Value:3
Course Code:DATA-3110
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.
Credit Value:3
Course Code:DATA-3115
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.
Credit Value:3
Course Code:DATA-3200
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.
Credit Value:3
Course Code:DATA-3205
This course is designed to provide students with a comprehensive understanding of data visualization concepts and techniques by leveraging industry-standard business intelligence software.
Credit Value:3
Course Code:DATA-3210
In this course students will explore advanced data analysis concepts including machine 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.
Credit Value:3
Course Code:DATA-3215
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.
Credit Value:6
