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Honours Bachelor of Computer Science - Data Analytics (Optional Co-op)

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 two semesters 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.

More information

academics.sheridancollege.ca/..ter-science 

Overview

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.

Data Analytics

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.

Specialized Courses

  • 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.

Career opportunities

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.
Apply Now! September 2023
This intake is not applicable
Studies commence
Sep 5, 2023
Apply Now! January 2024
Application start
Mar 1, 2023
This intake is not applicable
Studies commence
Jan 8, 2024

Application deadlines apply to citizens of: United States

Apply Now! September 2023
This intake is not applicable
Studies commence
Sep 5, 2023
Apply Now! January 2024
Application start
Mar 1, 2023
This intake is not applicable
Studies commence
Jan 8, 2024

Application deadlines apply to citizens of: United States