Bachelor of Data Analytics (Co-op)
| Study location | Canada, Ontario, Waterloo |
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| Type | Bachelor's Degree, College |
| Nominal duration | 3 years, including 1 Co-op term |
| Study language | English |
| Course code | 1664C |
| Tuition fee | CA$19,069 per year The fee is for the 2024–2025 academic year and includes tuition (CA$15,961), health insurance and ancillary charges. The fees displayed are estimates for two semesters and are subject to change. |
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| Registration fee | CA$400 one-time The registration fee includes the non-refundable application fee (CA$100) and the refundable deposit fee (CA$300). Please REVIEW the EdviseCanada`s fee policy. |
| Entry qualification | High School / Secondary Education (or higher) To qualify for admission, you must have a high school diploma and have completed the following mandatory courses (or their equivalents) with an overall minimum average of 65 percent:
- In addition, you must have completed four additional Grade 12 courses. Note: Higher averages are often required for admission due to competition for available spaces in the program. The entry qualification documents are accepted in the following languages: English. |
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| Language requirements | English If you are not from an English-speaking country, you must provide proof of your English language proficiency by submitting one of the following tests:
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| More information |
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Overview
The Bachelor of Data Analytics (BDA) degree is a three-year program, including one paid co-op work term, which will prepare you for a fulfilling career in the field of data analytics to meet the increasing demand for data analysis expertise in the digital world. Building upon the recognized foundations of data analytics, you will obtain the skills and knowledge to identify and interpret data using algorithms, extract meaningful information and communicate conclusions to help governments and businesses make better decisions driven by data.
This degree program is designed to equip you with a strong skill set of data analytics-based tools, statistical methods, and data visualization techniques. You will also learn all elements of the data analysis life cycle including problem definition, data retrieval, preparation, validation, and transformation. In addition to technical data expertise, you will also learn key business strategies, professional communications, and an understanding of data ethics and privacy.
Upon graduation, you will have a range of career options to work as a data analyst in a diverse range of industries, including but not limited to finance, marketing, healthcare, entertainment, and public service.
Career opportunities
Graduates will be equipped with theoretical knowledge and applied skills in data analytics, data visualization, big data solutions, predictive analysis for digital marketing, and statistical methods to pursue careers in areas such as:
- Data Analyst
- Data Architect
- Business Intelligence Analyst
- Database Developer