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.
| Level | Bachleors |
| Discipline | Business & Management |
| Duration | 48 months |
| Intakes | Jan, Sep, May |
| Application Fees | CAD 130 |
| Tuition Fees | CAD 30744 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 88 |
| PTE | 58 |
| Duolingo | 110 |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 77.0%
1201-1400
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778
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