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WhatsAppAcross sectors, businesses rely on big data, deep insights and analytics to drive decision-making to improve performance. In this one-year, co-op program you will gain in-demand skills and knowledge to get your career started in the data analytics field.
Your studies may lead you to explore career opportunities such as a data administrator, database analyst or data custodian.
Program highlights:
- Learn to handle and analyze data with Structured Query Language (SQL) and Statistical Analysis System.
- Gain an understanding of traditional and automated methods of data collection.
- Utilize data visualization software to build presentations of data and simplify complex concepts.
- Gain valuable co-op work experience.
Tuition and payment:
Domestic - $11,245
International - $13,745
Financial Assistance - Learn More
Domestic Scholarship - Toronto
International Scholarships - Toronto
Key facts:
Intakes: January, April, July and October
Mode of delivery: Hybrid
- One-year, full-time diploma program
- Co-op work placement
Admission requirements:
This program has a computer use expectation. Please see details on our Admissions page.
Student success:
Learn more about how team can support you in your academic journey.
Co-op Work Placement
This program concludes with a 240-hour co-op work placement. Our co-op and career services team will support you in finding a workplace that suits your own learning needs and career goals and shows you how to make the most out of your work placement.
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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