For all admission requirement questions, please email email@example.com.
A four-year bachelor’s degree (or equivalent) from an accredited institution in engineering, science, business, economics or a related discipline
Minimum grade point average (GPA) of 3.00/4.33 (B or equivalent), in the last two years of study and demonstrated capacity to succeed in graduate studies
Prospective students are expected to demonstrate working knowledge of statistics, data structures and algorithms, databases and R software packages. These prerequisites can be documented through prior completion of university or college level degree credit courses equivalent to the following courses that are offered at the G. Raymond Chang School of Continuing Education at Ryerson University:
CIND 123: Data Analytics: Basic Methods (formerly CKME 132: Statistics and R Programming)
CIND 110: Data Organization for Data Analysts (formerly CKCS 110: Database Management)
CIND830 Python Programming for Data Science(CIND830 Python Programming for Data Science replaces CCPS 305 Data Structures from the Fall 2020 term. The program will keep accepting CCPS305 as a prerequisite course for all those who complete it up to and including the Winter 2021 term)
In addition to the general requirements for admission to the Yeates School of Graduate Studies at Ryerson, the MSc program in Data Science and Analytics requires the following materials:
Statement of Interest
Your Statement of Interest should be no more than 500-1000 words and should address the following:
- Demonstrate working knowledge of statistics, data structures and algorithms, databases and R software packages. Please identify any courses in your transcript(s) that may cover these subject areas.
- How your previous studies and experience have prepared you for the program
- How this program relates to your career objectives
Please submit an updated CV/resumé and highlight in your statement of interest how your previous studies and experiences have prepared you for graduate studies at Ryerson University. Please be sure to include all applicable work experience and publications.
Letters of Recommendation
Two letters of recommendation are required for each application. The recommendations should be from academic referees – former professors or research supervisors familiar with applicant’s academic abilities.
To review a listing of all required documents, please refer to the Prepare your application, opens in new window page.