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What is data science?
In order to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data, data science is an interdisciplinary academic area that makes use of statistics, scientific computing, scientific techniques, procedures, algorithms, and systems.
Detailed Information of Data Science and Analytics (MSc) in Canada at Ryerson University
International Student Eligibility
These are the international student eligibility for the Data Science and Analytics (MSc) in Canada
- Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
- Minimum grade point average (GPA) or equivalent of 3.00/4.33 (B) in the last two years of study
- Statement of interest
- Resumé/CV
- Transcripts
- Two letters of recommendation
- English language proficiency requirement
Domestic Student Eligibility
These are the domestic student eligibility for the Data Science and Analytics (MSc)
- Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
- Minimum grade point average (GPA) or equivalent of 3.00/4.33 (B) in the last two years of study
- Statement of interest
- Resumé/CV
- Transcripts
- Two letters of recommendation
Test Eligibility
These are the test eligibilities for the Data Science and Analytics (MSc) to qualify.
The English Language Proficiency (ELP) requirements for Data Science and Analytics (MSc) in Canada: are:
N.B: ELP is not mandatory for all international students. You could apply without ELP if your previous degree’s medium of instruction were in English. Students of Ghana, Nigeria, Liberia, for example, are not required to take the ELP test.
International Student Tuition Fees and Costs
The international student tuition fees and costs for Data Science and Analytics (MSc) in Canada.
| Items | Costs |
|---|---|
| Application Fees | C$110.00 |
| Tuition Fees | $23,795.81 /year |
| Living Cost | C$13,200.00/year (C$1,100.00/month) |
| Student Earning | C$17,920.00/year |
Domestic Student Tuition Fees and Costs
The domestic student tuition fees and costs for Data Science and Analytics (MSc) in Canada.
| Items | Costs |
|---|---|
| Application Fees | C$110.00 |
| Tuition Fees | $10,105.93 /year |
| Living Cost | C$13,200.00/year (C$1,100.00/month) |
| Student Earning | C$17,920.00/year |
| This is just an estimate. You don’t have any work hour limit. You will earn C$17,920.00/year by working (20h/week * 4 weeks * 8 months * CAD 14/h) + (40h/week * 4 weeks * 4 months * CAD 14/h) at minimum wage of C$14.00/hour. |
Program Overview
Format: One-year full-time or two-year part-time (MSc)
Degree Earned: Master of Science
This unique one-year Master of Science (MSc) degree program enables students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can pursue careers in industry, government or research.
Admissions Information
MA
- Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
- Minimum grade point average (GPA) or equivalent of 3.00/4.33 (B) in the last two years of study
- Statement of interest
- Resumé/CV
- Transcripts
- Two letters of recommendation
- English language proficiency requirement
More information on admission requirements. Due to the competitive nature of our programs, it is not possible to offer admission to everyone who applies that meets the minimum entrance requirements for the program.
Check Application Deadline
Students are encouraged to submit applications prior to the first consideration date to increase their chances of securing financial support for their graduate studies. Applications received after the first consideration date will be accepted and reviewed based on spaces remaining in the program.
See application dates.
Financing Your Studies
For detailed graduate tuition and fees information please visit Fees by Program.
For information on scholarships, awards and financing your graduate studies visit Financing Your Studies.
Skills Developed
- Domain knowledge
- Machine learning
- Math
- Operations research
- Programming
- Statistics
Sample Courses
- 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
Data Science and Analytics (MSc) graduate program calendar
Resources
- Students can apply to participate in DMZ programming, where they have the opportunity to create their own startups or work with companies engaged in big data and data science.
- Students may have direct access to various international partners and/or exchange programs to enhance their learning experience.
- Ryerson’s Big Data Initiative (BDI) spans many academic units and research areas. The Data Science Laboratory, RC4 High Performance Computing Facility, and Privacy and Big Data Institute are part of Ryerson’s cross-university BDI agenda to develop new tools and apply them to advance organizational performance across sectors.
- The program engages with various industry and government partners from diverse domains.
Contact Us
Graduate Admissions
Admissions information and how to apply
Graduate Studies Admissions Office
11th Floor, 1 Dundas Street West
Toronto, ON
Telephone: 416-979-5150
Email: grdadmit@ryerson.ca
For information specific to programs, please see the program contact information below.
Program Contacts
Dr. Ayse Bener
Graduate Program Director
PhD, Information Systems, London School of Economics
Research areas: machine learning, recommender systems and big data applications
Telephone: 416-979-5000 ext. 3155
Email: ayse.bener@ryerson.ca
Igor Rosic
Graduate Program Administrator
Telephone: 416-979-5000 ext. 554836
Email: datascigrad@ryerson.ca
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