Data Analytics
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.
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
Program Coordinator
S. M. McConnell, BSc, MSc, PhD (Queen’s)
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
Career Paths:
Featured
Computer Systems Analyst
Information systems analysts and consultants analyze systems requirements, develop and implement information systems development plans, policies and procedures, and provide advice on a wide range of information systems issues. 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.
Career Opportunities
- Computer Programmer
- Data Analyst
- Data Scientist
- Marketing Analyst
- Digital Analytics Developer
- Program Developer
Admission Requirements
More Requirements
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