| | Master of Science in Data Science | | |
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| School | Thompson Rivers University - Graduate Programs | | |
| Location | Kamloops, BC, Canada | | |
| School Type | Graduate School | | |
| School Size | Full-time Graduate: 267 | | |
| Degree | Master | | |
| Honours | | | |
| Co-op | | | |
| Length | 2 Year(s) | | |
| Entry Grade (%)* | | | |
| Prerequisites | | | |
| Prerequisites Notes | Applicants must have:
- An acceptable four (4) year bachelor degree or equivalent in a discipline of science, or a related discipline with a minimum average grade in the last 60 credits of: B (GPA of 3.00 on a scale of 4.33) for project option; B+ (GPA of 3.33 on a scale of 4.33) for thesis option.
- Two letters of reference from academics or professionals. Letters should comment on the applicant's academic ability and record, training, research/work experience, in particular relating to statistics, programming, data analysis, machine learning, or AI.
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| Cost |
Entire program tuition is $25,468.80 for domestic students and $38,528 for international students. | | |
| Scholarships | | | |
| Description | The Master of Science in Data Science (MScDS) is normally a 2-year program. The goal of the program is to provide students with solid knowledge, techniques, and experience in the research and application of data science, and to prepare students to become researchers and leaders in the emerging area of data science at the regional, national, and global levels.
The program is unique in that it can be an application-orientated or a research-orientated master's program depending on whether students choose the Graduate Project option or the Graduate Thesis option. Regardless of their choice, graduates will develop the strong data analytics, critical-thinking, communication, and interpersonal skills required for success as a data scientist in big data or to pursue further advances in research. | | |
| Next Steps | | | |