Overview
The Data Science programme at the University of Regina provides a comprehensive foundation in the interdisciplinary field of modern analytics. Students engage with a curriculum that merges statistical theory with advanced computing techniques to interpret and manage vast datasets. This degree prepares graduates to transform raw information into strategic insights for various global industries.
Why Data Science at the University of Regina?
The University of Regina offers the only undergraduate degree of this kind in Saskatchewan, providing a unique educational path in the region. Students benefit from a close-knit learning environment with smaller class sizes, ensuring direct access to expert faculty and specialised resources. The programme is taught by recognised leaders who integrate the latest technological advances and research into the classroom experience.
Tuition Fee Breakdown
- International fee: CAD 1143 per credit
- National fee: CAD 568 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is delivered collaboratively by the Department of Computer Science and the Department of Mathematics and Statistics. Modules may include:
- Data Structures and Abstractions
- Artificial Intelligence
- Advanced Data Structures and Algorithm Design
- Database and Information Retrieval
- Data Mining
- Machine Learning
Careers with Data Science
Graduates are highly sought after by corporations and government agencies looking to leverage data for effective decision-making. The skill set acquired during the programme prepares students for roles such as data analyst or research scientist. Notable prospective employers for alumni include organisations such as SGI, Farm Credit Canada, Deloitte, and SaskEnergy. The growing demand for trained professionals ensures diverse opportunities across academia, health, and climate research sectors.
Programme Structure
Course Include:
- Data Structures and Abstractions
- Artificial Intelligence
- Structures and Algorithm Design
- Database and Information Retrieval
- Data Mining
- Big Data
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- Regina, Canada
Disciplines
Data Science & Big Data View 36 other Bachelors in Data Science & Big Data in CanadaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Submit your high school transcripts
- Submit you post secondary transcripts
- Provide proof of English Language Proficiency (ELP)*
- Provide a copy of your passport
- If you have not been in school for over 2 years, please briefly describe (a sentence or two is sufficient) what you have been doing since graduation
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Regina and/or in Canada, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents34290 CAD / year≈ 34290 CAD / year -
Domestic Applies to you
Applies to youCitizens or residents17040 CAD / year≈ 17040 CAD / year
Living costs
Regina
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Bachelor's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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