|Study location||Canada, Ontario, Oakville|
|Type||Bachelor's Degree, College|
|Nominal duration||4 years, plus 4 Optional Co-op terms|
|Tuition fee||CA$21,074 per year
The fee is for the 2022–2023 academic year and includes tuition (CA$19,248), health insurance and ancillary charges.
The fees displayed are estimates only for and are subject to change.
|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.
High School / Secondary Education (or higher)
To be eligible for admission, you must possess a high school diploma including these required courses (or equivalents) with an overall minimum average of 65 percent:
Note: One 12 Science, or Computer Science, or Computer Engineering Technology is recommended.
The entry qualification documents are accepted in the following languages: English.
If English is not your first language, you must provide one of the English language proficiency tests below:
The Computer Science degree provides a strong foundation of fundamental knowledge, specialized courses and hands-on experience.
Specialize in a growing field of computer science
Stand out from the crowd by specializing in:
- cloud computing
- data analytics
- game engineering
- network engineering
- modelling, simulation and visualization.
You’ll be introduced to each of these growing fields of computer science in your first year of studies, then take eight courses in the area of your choice. Each field requires specific skills not taught in traditional diploma and degree programs.
Build a strong foundation in computer science
Not a computer expert? No problem! You’ll begin with the basics in your first year, learning about computer programming, networks, mathematics, scripting and database modelling. More than 80% of the Computer Science degree curriculum consists of core courses designed to develop fundamental skills that will prepare you to work in all areas of computer science, both now and in the future.
Learn how to apply statistical analysis, data mining and other advanced techniques to draw new and useful insights from large data sets. Confidently interpret and share information about the data patterns you discover.
- Business Processes
- Data Analysis & Visualization 1
- Big Data Management & Processing
- Data Analysis & Visualization 2
- Data Warehouse Design & Implementation
- Machine Learning Techniques
- Data Mining
- Business Communication
Internship, co-op and applied research opportunities
At Sheridan, we believe the best way to learn is through hands-on experience. Between your third and fourth year of studies, you can work for Sheridan`s industry partners through a four-month internship or a paid co-op placement that can last up to 16 months. You can also sharpen your research skills by providing computer science support to any of Sheridan’s various applied research projects.
Choose between a capstone or thesis
Your education should support your future goals. In your fourth year, you’ll have the option of working on either a capstone project or a thesis. Capstones involve developing a solution to a significant problem and may include an external client or partner — ideal if you seek employment immediately after graduation. The thesis research project option is also offered if you intend to pursue graduate studies in computer science.
Enjoy flexible pathways
It’s always good to keep your options open. The Computer Science degree shares many common core courses with the Mobile Computing degree, making it easy to transfer from one to the other. You’ll only need to make up two courses if you want to change specializations after two years.
And if you’re interested in furthering your studies after graduation, our honours bachelor’s degree is accepted for graduate admission at a broad range of institutions in Canada and internationally.
In addition to preparing you for all types of work in the industry, Sheridan’s Bachelor of Computer Science – Data Analytics degree is designed to make you job-ready in the specialized field of your choice.
Roles you may be qualified for upon graduation include:
- Data Scientist: Perform data analysis and develop and implement predictive models.
- Data Architect: Design and implement big data solutions that support the Data Warehouse Environment (DWE).
- Data Analyst: Apply current technologies, concepts and methodologies to build development projects that integrate various data sources.
- Data Developer: Use Big Data architectures to migrate data from various databases, implement the latest technologies and meet functional and technical requirements.
- Big Data Platform Engineer: Design, build and administer platforms that combine several big data applications and utilities within a single solution.