Data Sciences and Analytics

The Bachelor of Science in Data Sciences and Analytics program is a collaboration between the Faculty of Mathematics and Science and the Goodman School of Business. It is one of only two BSc programs in Canada combining financial analytics with computational data science.

The program bridges the gap between computational data sciences and business analytics by forming well-rounded graduates with strong core knowledge and skills in programming for big data, data infrastructures, computational statistics, data mining, business analytics, and management of information systems. Graduates are able to tell a story through state-of-the-art visualization and the communication of business intelligence to support strategic decisions.

Students in the program will acquire advanced knowledge and skills in an area of specialization chosen from Financial Analytics or Computational Sciences (including parallel computing, machine learning, artificial intelligence, computational statistics, cybersecurity, financial risk management, fintech, computational finance, etc.). Students
can be admitted into either of the honours or co-op options in the Concentration in Financial Analytics or the Concentration in Computational Data Sciences.

  • BSc in Data Sciences and Analytics

Expected cut-off: high 70s; Co-op low 80s
OUAC Code:

  • Computational Data Sciences – BSA
  • Financial Analytics – BFA

Not an Ontario Secondary School applicant? Find your admissions criteria here.

Career outcomes

  • Data scientist/engineer
  • Big data solution architect
  • Financial (risk) analyst
  • Data analytics consultant
  • Predictive analytics modeller

Prerequisite requirements

  • English (ENG4U)
  • Two 4U maths (min. 75% in each math)