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.
Graduating students who have fulfilled the requirements for a single-major Honours degree in Computing Systems may apply for a Specialization in Data Analytics, if they have also successfully completed the following 3.5 credits:
- 3.5 COIS credits consisting of COIS 3030H, 3510H, 3560H, 4350H, 4400H, 4470H, and 4550H
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
Ontario Secondary School Requirements:
- Ontario Secondary School Diploma (OSSD)
- A minimum of six Grade 12 4U or 4M courses, including program specific prerequisites
Program Requirements:
- A minimum 70% overall final average
- ENG 4U with a minimum of 60%
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