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UofT

Master of Data Science (MDS)

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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

  1. 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.
  2. Technical Skills:
    • Proficiency in programming (e.g., Python, R).
    • Strong mathematical and statistical foundations.
  3. 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.
  4. 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!