Overview
Graduates from the Master of Science (MSc) degree Data Science and Analytics program at the Ryerson University are highly trained, qualified data scientists who can pursue careers in industry, government or research.
Skills Developed
- Domain knowledge
- Machine learning
- Math
- Operations research
- Programming
- Statistics
Get more details
Visit official programme websiteProgramme Structure
Courses included:- Advanced Data Visualization
- Bayesian Statistics and Machine Learning
- Data Mining and Prescriptive Analysis
- Designs of Algorithms and Programming for Massive Data
- Interactive Learning in Decision Processes
- Machine Learning
- Management of Big Data and Big Data Tools
- NLP (Text Mining)
- Social Media Analytics
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
Language
Credits
Delivered
Disciplines
Business Intelligence & Analytics Data Science & Big Data View 18 other Masters in Business Intelligence & Analytics in CanadaAcademic requirements
English requirements
Other requirements
General requirements
- Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
- Statement of interest
- Resumé/CV
- Transcripts
- Two letters of recommendation
- English language proficiency requirement
Tuition Fee
-
International
23795 CAD/yearTuition FeeBased on the original amount of 23795 CAD per year and a duration of 12 months. -
National
10105 CAD/yearTuition FeeBased on the original amount of 10105 CAD per year and a duration of 12 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Fresh content
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Check the official programme website for potential updates.