Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Courses
Major
Data Analysis | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Course Language
English
About Program
Program Overview
This data analytics specialization within a Computer Science degree focuses on analyzing large datasets for practical use. It covers techniques such as parallel programming, visualization, data mining, and predictive modeling. Graduates are equipped for careers such as computer systems analyst, data analyst, and data scientist, with a projected 100,100 new jobs in Canada over the next decade.
Program Outline
Degree Overview:
Hone your ability to analyze large scientific and retail datasets for practical application. This specialization provides a solid foundation in data analysis techniques, including parallel programming, visualization, data mining, and predictive modelling.
Outline:
Courses:
- Students who have fulfilled the requirements for a single-major Honours degree in Computer Science may graduate with a Specialization in Data Analytics if they have also successfully completed the following 4.0 credits:
- 4.0 COIS credits consisting of:
- COIS 1400H: Introduction to Data Science
- COIS 3030H: Software Specification and Development
- COIS 3510H: Data Visualization
- COIS 3560H: Human-Computer Interaction
- COIS 4350H: High Performance Computing
- COIS 4400H: Data Mining
- COIS 4470H: Modelling and Simulation
- COIS 4550H: Artificial Intelligence They are employed in information technology consulting firms and in information technology units throughout the private and public sectors, or they may be self-employed.
- Salary Range: $22.60-$55.00/hr
- Jobs in Canada: 196,300
- 10YR Job Outlook: 100,100
- Source: Government of Canada
Career Opportunities:
- Computer Programmer
- Data Analyst
- Data Scientist
- Marketing Analyst
- Digital Analytics Developer
- Program Developer
Other:
Resume Boosters:
- Familiarize yourself and get hands-on experience using the techniques suitable for the analysis of Big Data, including parallel programming, visualization, and predictive modelling
- Participate in EC Hacks, Trent University’s student-led hackathon
- Add a targeted focus to an undergraduate research thesis and investigate a specific field of interest with the expert guidance of your prof
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