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Next Cohort: Sep 8-Sep 8
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Duration
3 years
Tuition
$19,062
Commitment
Full-Time
Delivery
Classroom
Credential
Degree
Year Founded
1967
Scholarships
yes
The Bachelor of Data Analytics (BDA) degree is a comprehensive three-year program that includes a paid co-op work term, designed to prepare graduates for successful careers in the rapidly growing field of data analytics. As the demand for data analysis expertise continues to rise in the digital world, this program offers students the opportunity to gain essential skills and knowledge. Students will learn to identify, interpret, and analyze data using algorithms, extract meaningful insights, and communicate their findings to aid businesses and governments in making data-driven decisions. The curriculum is grounded in the core principles of data analytics, equipping students with proficiency in statistical methods, data visualization techniques, and data analytics tools. Additionally, students will gain an understanding of the entire data analysis life cycle, including problem definition, data retrieval, preparation, validation, and transformation.
Alongside technical expertise, the program emphasizes the development of key business strategies, professional communication skills, and an understanding of data ethics and privacy. Upon completion of the program, graduates will be well-prepared for various career opportunities as data analysts in industries such as finance, marketing, healthcare, entertainment, and public service.
Admission Requirements
- Ontario Secondary School Diploma (OSSD) or equivalent.
- Grade 12 English (U or C) and Grade 12 Math (U or C).
What You’ll Learn
- Collect, validate, and prepare data using statistical, mathematical, and computational techniques for data analysis.
- Select and apply programming concepts and principles to solve data analytics problems.
- Analyze data sources to identify significant trends that support interpreted business needs.
- Create data-driven visualizations using analytical tools to communicate data patterns and insights.
- Evaluate and recommend data analytics solutions that promote strategic business decisions.
- Integrate disparate data repositories to create consolidated analyses in support of business decisions.
Ready to get started?
Next Cohort: Sep 8-Sep 8
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Student Reviews (31)
This program has been very poorly administered from a scheduling standpoint.
The course is divided into 5 levels with scheduled breaks between each level. When Levels 3 and 4 became available, I registered and arranged my vacation time with work...
conestoga refuses to give me back my money due to the fact that i didnt withdrew on time, despite showing my health related isses why i was unable to withdrew on time, they still refuses which means to me that they dont really care about international ...


