$49,050 /Yr
On-campus
full_time
Certificate Data Science
- Certificate in Data Science at the University of Toronto is offered a 1-year (2 semesters) program.
- This course is offered on a full-time basis.
- Students will cover content essential for the toolbox of a predictive analytics professional, including neural networks and deep learning, programming languages, and software used in data extraction and analysis.
- This course content covers the 7 domains of informs' Certified Analytics Professional (CAP) certification.
- Through this program, students will also learn how to represent data visually to help decision-makers understand their findings.
- This certificate is offered in collaboration with the Faculty of Engineering and Applied Science.
- Through this course, students will learn:
- explore the evolution of data science and predictive analytics.
- know statistical concepts and techniques including regression, correlation, and clustering.
- apply data management systems and technologies that reflect concern for security and privacy.
- adopt techniques and technologies including data mining, neural network mapping, and machine learning.
- represent big data findings visually to aid decision-makers.
Tution & Application Fees
| Year | Year 1 |
| Tuition Fees | $46013 |
| Health Insurance | $540 |
| Books and supply | $1125 |
| Other Fees | $1373 |
| Total Fees | $49050 |
Examinations
| Exam Type | Exam Name | Score | Out of Score | Exam Level |
|---|---|---|---|---|
| IELTS | International English Language Testing System | 7 | 9 | 3 |
| TOEFL | Test of English as a Foreign Language | 90 | 120 | 3 |
- Applicants having relevant experience or formal education in the related field may be considered for advanced standing.
- Students may support their application by submitting case studies, project summaries, personal portfolios, and recommendation letters.
- Prior Learning Assessment (PLA) may be granted for one course:
- Foundations of Data Science
- Statistics for Data Science
- Big Data Management Systems and Tools.