Graduates with a four year bachelor’s degree in the fields of engineering, science, business, economics and related disciplines from a recognized university may apply to the program.
Minimum average GPA of 3.00 / 4.33 (B), or equivalent, in the last two years of undergraduate studies and a demonstrated capacity to succeed in the graduate program.
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 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)
CCPS 305: Data Structures and Algorithms
English Language Requirements
In addition to the general requirements for admission to the Graduate School at Ryerson, the MSc in Data Science and Analytics program requires the following materials:
Your Statement of Interest should be no more than 500-1000 words and should address the following:
Please submit an updated CV/résumé and highlight in your statement of interest how your previous studies and experiences have prepared you for graduate study at Ryerson University. Please be sure to include all applicable work experience and publications.
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 abilities.
To review a listing of all required documents, please refer to the Prepare your application page.