Honours Bachelor of Computer Science in Data Engineering (Co-op / Internship)

Sheridan College - Trafalgar Road Campus, Oakville

Canada,Ontario

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48 Months

Duration

CAD 21,623/year

Tuition Fee

CAD 100 FREE

Application Fee

Jan 2025

Apply Date

Canada, Ontario

Type: College

Location Type: Semi-Urban

Founded: 1967

Total Students: 24,500 +

Int. Students: 8,700 +

Campus Detail

Main Campus Address

C-Wing, 1430 Trafalgar Rd, Oakville, ON L6H 2L1,

Honours Bachelor of Computer Science in Data Engineering (Co-op / Internship)

Program Overview

In our Honours Bachelor of Computer Science program, you'll learn foundational skills that prepare you to work in any area of computer science. But you’ll also have the chance to specialize in an emerging field that interests you the most.

In the first year of the program, you’ll be introduced to each of these fields: cloud computing, data analytics, data engineering, game engineering and network engineering.

Then you’ll focus your studies on your selected specialization. You’ll take eight courses in your specialization of choice, gaining specific skills that are not taught in traditional diploma and degree programs. Your computer science specialization will give you a competitive advantage when you graduate.

 

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 our 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.

 

Specialization: Data Engineering
Gain the knowledge and skills needed to design, implement and maintain systems that collect, pre-process, store, analyze and prepare large amounts of data.


Specialized courses:

  1. Data Warehouse Design and Implementation
  2. Storage Systems
  3. Big Data Management and Processing
  4. Data Integration and Streaming
  5. Distributed and Parallel Computing
  6. Machine Learning Techniques
  7. Data Quality and Governance
  8. Advanced Data Engineering Topics