UofT
Master of Data Science (MDS)
16
Months
60,000 CAD
Scholarship available
Applying date
Anytime.
Mode
Online
Master of Data Science (MDS) – University of Toronto
The Master of Data Science (MDS) program at the University of Toronto is a cutting-edge graduate program that prepares students to solve complex problems using data-driven techniques. With a strong focus on analytical, computational, and technical skills, this program is ideal for individuals looking to excel in data science roles across various industries.
Program Overview
- Program Structure:
- Course-based program with an emphasis on practical applications.
- Combines core courses, electives, and a capstone project or practicum.
- Key Subjects Covered:
- Statistical Modeling
- Machine Learning
- Data Visualization
- Big Data Technologies
- Ethics and Privacy in Data Science
- Duration:
- Full-time: 12–16 months.
Admission Requirements
- Academic Background:
- A four-year bachelor’s degree in Computer Science, Mathematics, Engineering, Statistics, or a related field.
- A minimum GPA of 3.0 (B) in the final two years of study.
- Technical Skills:
- Proficiency in programming (e.g., Python, R).
- Strong mathematical and statistical foundations.
- Application Materials:
- Statement of Intent: Detailing academic background, relevant experience, and career goals.
- Resume/CV: Highlighting academic, technical, and professional accomplishments.
- References: Two or three recommendation letters from academic or professional contacts.
- Language Proficiency:
- TOEFL or IELTS scores for non-native English speakers.
Tuition Fees
- International Students: CAD 60,000 (total program cost).
- Additional Fees: Ancillary costs (~CAD 1,500 annually).
Program Features
- Capstone Project:
- A team-based project addressing real-world challenges, often in collaboration with industry partners.
- Practical Learning:
- Hands-on labs and case studies to develop industry-relevant skills.
- World-Class Faculty:
- Taught by leading experts in data science, machine learning, and computational statistics.
- Networking Opportunities:
- Access to Toronto’s vibrant tech ecosystem and alumni network.
Career Opportunities
Graduates are equipped for roles such as:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- Quantitative Analyst
Industries include technology, finance, healthcare, government, and academia.
Funding Opportunities
- Scholarships and Awards:
- Entrance scholarships for high-achieving students.
- Assistantships:
- Opportunities for teaching or research assistant roles.
If you have more questions or need further assistance, feel free to ask!