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WhatsAppThe rapid technological advances of recent years now require new expertise and skills. To be able to establish themselves in a competitive ecosystem, companies can now base their business strategies on big data and technologies derived from artificial intelligence research.
Upon completion of their training during the Diploma in Data Analytics Co-op, the student will develop the in-demand skills and knowledge needed to analyze data and drive proactive decision-making to improve business performance. This Co-op work experience will give a competitive advantage.
The Trebas Institute’s Diploma in Data Analytics Co-op program will give you the tools and knowledge you need to help create value for the company you work with.
Become highly-proficient in data mining, database and analytics. Study data analytics program using industry-standard software programs and online platforms, within a curriculum that is constantly updated to give you an edge in the job market.
Tuition fees
Check out our Student Services page under "Support for Academic Success" section for more info.
Student Services
Key facts
Intakes: January, April, July and October
Financial Assistance - Learn More
CO-OP WORK EXPERIENCE
840 Hours
Full-time
12 Months (52 weeks)
3 Terms
Daytime classes
Domestic Scholarships and Grants
International Scholarships and Grants
Scholarships and Grants are available for a limited time. *T&Cs apply.
Data Analytics Co-op Opportunities
This program concludes with a 240-hour co-op work placement, providing you with hands-on experience in this rapidly evolving sector. We will help you find a workplace that suits your own learning needs and career goals and show you how to make the most out of your work placement. This opportunity could include one of the following positions:
- Data Custodian
- Data Warehouse Analyst
- Database Analyst
Program Overview
Data Design - 150h
This module will enable you to consider what organizations stand to gain from data analytics. It will provide you with the skills to select the most appropriate data collection method, design deployment approaches, implement data collection approaches and revise instruments and systems to be developed. It will also draw from both the cutting edge of automated data collection and traditional methods of data collection, enabling the development of methodologically sound approaches.
Data Handling and Decision Making - 150h
This module is designed to introduce the theoretical concepts and practical applications of data auditing, handling and decision making. It equips you with the skills to understand the findings of data analysis and how to apply them. You will learn approaches to audit data within an organization to identify gaps, as well as analyze data and generate recommendations from your findings.
Working with Data using SAS and SQL – 150h
This module covers theoretical concepts from data design and handling, as well as techniques to work with SQL and SAS. It is split into two parts. Part one focuses on the learning fundamentals of Structured Query Language (SQL), providing you with hands-on practice to access and manipulate data to give useful insights. In part two, you will learn how to use SAS software for data handling and analysis.
Data Visualization and Interpretation - 150h
This module is partnered with the data handling and decision-making module and enables you to develop your skills in data presentation to facilitate the understanding of findings and to enable you to make informed decisions. Data visualizations are a powerful method of making data accessible and understandable to non-specialists. Through this module you will learn the appropriate use of graphs and charts as well as the use of specialist data visualization packages and the tools available to visualise data mining outcomes.
Work Placement - 240h
At the conclusion of the program, you are required to complete 240 hours of work placement in a suitable business environment. Appropriate business sectors for placement would include IT services, insurance, finance, accounting, not-for-profit and administration. Activities performed will vary depending on the work placement site. Key responsibilities include observing all workplace and school safety and security procedures, dressing appropriately for the placement experience, interacting with the placement staff respectfully, learning about the work environment, and participating in daily tasks as required. You will also be supervised by a placement host.
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Skills and Competencies
Throughout this Diploma in Data Analytics program, you will develop the following skills and competencies:
- Learn to collect data through automated and traditional methods of data collection
- Gain the skills to handle and analyze large volumes of data and identify data gaps
- Acquire knowledge to use R, the leading programming language in data science and statistics
- Get hands-on experience in using software such as SQL & SAS for data handling and analysis
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Real-world work experience
Career Outlook
The data speaks for itself. A report from DataMites states that data analytics is among the most in-demand tech jobs in Canada (Source: DataMites). Canada Job Bank shows that an estimated 1800 job opportunities will become available across Canada between now and 2031 (Source: Job Bank). Example job titles include:
- Data Administrator
- Data Custodian
- Data Dictionary Administrator
- Data Warehouse Analyst
- Database Analyst
- Database Architect
29,300
Job openings are expected to become available in the coming years, as this position is projected to be heavily in demand (www.jobbank.gc.ca).
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FAQ
1. Is data analytics a high paying career?
In Canada, the median salary for data analysts is $39 per hour or $81,120 annually (source: jobbank.gc.ca).
2. How long is this Diploma in Data Analytics?
The program duration is 52 weeks (840 hrs), full-time.
3. What are the requirements to enroll in this Diploma in Data Analytics Co-op program?
- Have an Ontario Secondary School Diploma or equivalent
- Be at least 18 years of age and pass the Wonderlic Test (with a minimum score of 15)
- Functional in spoken and written English
- For non-native English speakers - English proficiency requirements: Successful completion of GCAS Level 4, IELTS 5.5 or equivalent