Canada is increasingly becoming an attractive study destination for international students. Especially when compared to the USA, Canada has a smooth post-study Visa process that is based on merit. Those who apply for Canadian PR with a Master’s degree and relevant job experience find it much easier to secure PR.
Among all the master’s programs, Data science is one of the most trending and in-demand master’s programs. Indeed, many experts predict that there will be huge scope for Data science and its applications across all sectors, and thereby high demand for data science professionals. One good thing is people from diverse Math, Science, and Engineering backgrounds can apply for Mater’s in Data Science, given they have a solid foundation in Mathematics and Statistics, with relevant knowledge or work experience in programming (Python, R, etc..). Some universities might look for experience with handling tools such as SQL, MongoDB, Tableau, PowerBi, etc…
If you’re interested in applying to Universities in Canada, Here’s a comprehensive University List and relevant links for Masters in Data Science and Its associated courses:
Please note that fulfilling minimum application requirements will not guarantee admits. Other factors also come into play.
1. University of British Columbia (Vancouver): MS Data Science (MDS)
Minimum Requirements:
1. GPA :3 (Minimum 76 % in III & IV Year)
2. IELTS 7.0 (Min. 6.5 sub-score V campus) ; 6.5 (min. 6.0 sub-score for O campus) or (TOEFL :
100)
3. Work Experience is an advantage
4. No GRE Requirement
Tuition Fees: 48,895 CAD Program Fee
Deadlines: Only Fall Deadline: Jan 31st
Course Duration: 10 Months
***It is offered both in Vancouver and Okanagan Campuses
Courses covered in the program: Data Manipulation with R, Statistical Interference,Data Visualization, regression
2. University of Toronto (Ontario): Master of Science in Applied Computing
Minimum Requirements:
1. GPA :3 (Minimum 77-79 % in final year)
2. IELTS 7.0 (Min. 6.5 sub-score ), or (TOEFL : 93)
3. Work Experience is an added advantage but not required
4. GRE Requirement is needed
Tuition Fees: 57, 000 CAD Program Fee
Deadlines: Only Fall Deadline: Early December
Course Duration: 16 Months ( 8 months course work & 8 months paid internship)
Courses covered in the program: Statistical and Computer Science Methods for Data Analysis and Data Visualization
3. Mc Gill University (Montreal, Quebec): Master of Management Analytics :
Minimum Requirements:
1. GPA: 3.2 (Around 80% )
2. IELTS 6.5 (Min. 6.0 sub -score ), or (TOEFL : 86)
3. Work Experience is an added advantage but not required
4. GRE or GMAT Requirement is needed
Tuition Fees: 52, 515 CAD Program Fee
Deadlines: Only Fall Deadline: Feb 15th
Course Duration: 12 Months
Courses covered in the program: data Acquisition, Big data Analytics, Predictive Modeling, Machine Learning and AI
4. Queen University (Toronto): Master of Management Analytics (WES requirement)
Minimum Requirements:
1. GPA:3.0 (Around 75% )
2. IELTS: No minimum scores are published
3. Work Experience in R or Python is an added advantage
4. GMAT is an advantage but not mandatory
Tuition Fees: 72,500 CAD Program Fee
Deadlines: Only Fall Deadline: Not Available
Course Duration: 12 Months
Courses covered in the program: Big Data Analytics, Marketing Analytics, Predictive Modeling
5. Western Ontario: Master of Data Analytics
Minimum Requirements:
1. GPA: 3.0 (Above 75% )
2. IELTS: 7.0 overall and TOEFL: 94
3. Work Experience in Statistical Modelling is an added advantage
4. GRE is not needed
Tuition Fees: 52,655 CAD Program Fee
Deadlines: Only Fall Deadline: Oct 15th to Feb 15th
Course Duration: 12 Months
Courses covered in the program: Data Analytics, Data Science for AI, Banking and Insurance
6. HEC Montreal ( Montreal, Quebec): MSc in Data Science and Business Analytics
Minimum Requirements:
1. GPA:3.0 (Above 75% )
2. IELTS: 7.0 overall and TOEFL: 95
3. Work Experience though not required it is an added advantage
4. GRE is around 315 and GMAT 630
Tuition Fees: 29.900 CAD Program Fee
Deadlines: Only Fall Deadline: March 15th
Course Duration: 16-24 Months
Courses covered in the program: Business Intelligence & Big Data, Marketing & Supply Chain, Finance & Risk management, Innovation & Strategy
7. Simon Fraser University ( British Columbia): Professional Masters Big Data Specialization (As a Part of Computer Science stream)
Minimum Requirements:
1. GPA: 3.0 (Above 75% )
2. IELTS: 7.0 overall ( Min Sub-score 6.5) and TOEFL: 94 (Min. 20 Sub-Score)
3. Work Experience though not required it is an added advantage
4. GRE & GMAT are not required
Tuition Fees: 42,165 CAD Program Fee
Deadlines: Only Fall Deadline: Feb 1st deadline
Course Duration: 16 Months
Courses covered in the program: Big Data, Data Mining, and Visualization methods
8. Ryerson University (Toronto): M.Sc in Data Science and Analytics
Minimum Requirements:
1. GPA:3.0 (Above 75% )
2. IELTS: 7.0 overall ( Min Sub-score 6.5) and TOEFL: 94 (Min. 20 Sub-Score)
3. Work Experience though not required it is an added advantage
4. GRE & GMAT are not required
Tuition Fees: 42,165 CAD Program Fee
Deadlines: Only Fall Deadline: Feb 1st deadline
Course Duration: 16 Months
Courses covered in the program: Big Data, Data Science and Analytics, Operation Research, Machine Learning
9. Carleton University (Ottawa): Collaborative Masters Program In Data Science
Minimum Requirements:
1. GPA:3.0 (Above 75% )
2. IELTS: 6.5 overall ( Min Sub-score 6) and TOEFL: 86
3. Work Experience though not required, it is an added advantage
4. GRE & GMAT are not required
Tuition Fees: 32,000 to 52, 000 CAD Program Fee
Deadlines: Only Fall Deadline: Jan 15th deadline
Course Duration: 2 years for Masters & 16 Months for MBA
Courses covered in the program: Big Data, Sensor Data Analytics, Database, Business Analytics
10. University of Waterloo (Waterloo, Ontario):
1. Master of Data Science & AI.
2. Master of Mathematics in Data Science
Minimum Requirements:
1. GPA: 3.0 (Above 78% )
2. IELTS: 7.5 to 7 overall and TOEFL: 100
3. Work Experience though not required, it is an added advantage
4. GRE is an added advantage but not strictly required
Tuition Fees: 40,000 CAD Program Fee
Deadlines: Fall Deadline: Jan 15th deadline
Course Duration: 18-24 months
Courses covered in the program: Big Data, AI, Machine Learning, Data Science
11. University of Alberta ( Edmonton, Alberta): Master of Science in Computing Science ( Data Base Systems)
Minimum Requirements:
1. GPA: 3.0 (About 75% )
2. IELTS : 7 (Min. sub score 6) and TOEFL: 100, PTE: 68
3. Work Experience though not required, it is an added advantage
4. GRE is an added advantage but not strictly required
Tuition Fees: 20,000 CAD
Deadlines: Fall Deadline: Jan 15th deadline to Feb 13th deadline
Course Duration: 2 years
Courses covered in the program: database systems, information retrieval, data management issues on the web and social networks, spatial data mining, database
aspects of multimedia, and artificial intelligence.
12. University of Victoria ( Greater Victoria, British Columbia): Master of Engineering in Applied Data Science
Minimum Requirements:
1. GPA:3.0 (About 70-75% )
2. IELTS: 6.5 (Min. subscore 6) and TOEFL: 90 (Min 20 Sub-Score)
3. Work Experience though not required, it is an added advantage
4. GRE is an added advantage but not strictly required
Tuition Fees: 38,000 CAD
Deadlines: Fall Deadline: June 1st, 2021; Spring Deadline: October 1st
Course Duration: 1 year
Courses covered in the program: database systems, information retrieval, data management issues on the web and social networks, spatial data mining, database
aspects of multimedia, and artificial intelligence
13. St. Mary’s University (Halifax, Nova Scotia, Canada): MSc in Computing and Data Analytics
Minimum Requirements:
1. GPA:3.0 (About 70% )
2. IELTS: 6.5 (Min. subscore 6) and TOEFL: 80( 20 min sub-score)
3. Work Experience though not required, it is an added advantage
4. GRE is not strictly required
5. Technical Interview and a Programming Test
Tuition Fees: 37,000 CAD
Deadlines: Fall Deadline: Feb 1st deadline
Course Duration: 16 months
Courses covered in the program: Analytics & Business Intelligence, Acquisition and Storage, management and Analysis, Software Design, Programming Languages & Statistical Modelling Packages (R, Python, Blockchain, Hadoop, Spark, Watson, SAS, SQL).
14. University of Calgary ( Calgary, Alberta): Master of Data Science and Analytics
Minimum Requirements:
1. GPA:3.0 (About 70% )
2. IELTS: 6.5 (Min. subscore 6) and TOEFL: 86( 20 min sub-score); PTE: 59
3. Work Experience though not required, it is an added advantage
4. GRE is not strictly required
Tuition Fees: 44,880 CAD
Deadlines: Fall Deadline: Feb 1st deadline
Course Duration: 12-16 months ( Including an Internship)
Courses covered in the program: Data Science and Business Analytics related course work that includes an Internship as well.
15. Northeastern University, Ontario: Master of Professional Studies in Analytics
Minimum Requirements:
1. GPA:3.0 (About 70% )
2. IELTS: 6.5 (Min. subscore 6)
3. Work Experience though not required, it is an added advantage
4. GRE is not strictly required
Tuition Fees: 36,900 CAD
Deadlines: Fall Deadline: Jun1st deadlines ( 3 months earlier the better) ; Winter Deadline: Sept 5th
Course Duration: 12-18 months ( Including an Internship)
Courses covered in the program: Statistics, Mathematics, Analytical System Technology, Business Intelligence, Communicating with Data.
16. York University ( Toronto, Ontario): Master of Business Analytics:
Minimum Requirements:
1. GPA:3.0 (About 75% )
2. IELTS: 7 (Min 6.5 Sub Score; TOEFL 100 ( Min Sub Score-23)
3. Work Experience though not required, it is an added advantage
4. GRE and GAMT is required
5. 2 video essays and 2 written essays are required
Tuition Fees: 53,900 CAD
Deadlines: Fall Deadline: 4 round of admission ..last round on April-15th
Course Duration: 12 months
Courses covered in the program: SAS Certification, Predictive Modelling, Big data, Visual Analytics Modelling
17. Trent University (Peterborough, Ontario): MS in Big Data Analytics (WES Evaluation of Transcripts)
Minimum Requirements:
1. GPA:3.0 (About 75% )
2. IELTS: 6.5 (Min 6 Sub Score; TOEFL 93( Min Sub Score-22)
3. Work Experience though not required, it is an added advantage
4. GRE and GAMT are not required
Tuition Fees: 27,000 CAD per year
Deadlines: Fall Deadline: Not clearly published
Course Duration: 16 months
Courses covered in the program: Foundations of Modelling, Statistical, Mathematical and Computational Aspects of the modeling
18. Acadia University (Wolfville, Nova Scotia): MS in CS (AI, Machine Learning, Data Compression, Intelligent Information Retrieval and Integration, Autonomic Computing): Not strictly a Data Science
Program but course work is available with Co-Op program up to 8 months in an industry is offered
Minimum Requirements:
1. GPA:3.0 (About 60%-2nd division )
2. IELTS: 6.5 (Min 6 Sub Score; TOEFL 93( Min Sub Score-20); PTE: 61
3. Work Experience though not required, it is an added advantage
4. GRE and GAMT are not required
Tuition Fees: 28,000 CAD for the program
Deadlines: Fall Deadline: June 15th: Winter: Sept 15th
Course Duration: 18-24 months
Courses covered in the program: Various programming and Data Base Management Courses
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