Program Overview

Introduction to the Master of Data Science Program

The Master of Data Science curriculum at the University of British Columbia covers all stages of the data science value chain, providing students with skills to focus on the "knowledge" section. This ten-month professional program combines the expertise of the UBC departments of Computer Science and Statistics to meet the rapidly evolving demand for data science skills.

Program Overview

The Master of Data Science program provides training in a cross-section of computing and data analysis tools. Students will complete a capstone project, which involves working with real-world data to develop practical solutions.

Program Structure

• The program is ten months long.
• It combines the expertise of the UBC departments of Computer Science and Statistics.
• Students will receive training in a cross-section of computing and data analysis tools.
• A capstone project is required, which involves working with real-world data to develop practical solutions.

Admission Criteria

Eligibility

• List of Required Undergraduate Courses
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Application Process

• Online Application
• Documents To Be Uploaded
  • Transcripts & Degree Certificates
  • Statement of Intent
  • Letters of Reference
  • English Proficiency Requirements
• Evaluation & Timeline
• Deferral

Graduate Programs

MSc Program

• 12 Credit MSc Thesis (Thesis Master's)
• 6 Credit MSc Thesis
• Master's Essay
• MSc Program Requirements
  • Finding a Supervisor
  • MSc Program Timeline
• Academic Regulations

Master of Data Science

• (Program details provided above)

PhD Track Program

• Finding a Supervisor
• Coursework
• Program Timeline

PhD Program

• PhD Supervisory Committee
• Research Proficiency Evaluation (RPE)
  • RPE Design
  • RPE Examination
  • RPE Process
• Comprehensive Course Requirement
  • Courses by Research Area for Comprehensive Course Requirement
• Thesis Proposal
• PhD Program Timeline

Registration Information

• Grads in CS
• Grads outside CS
• Non-Degree Students
• Undergraduate Students

Graduate Courses

• Courses - Winter Term 1
• Courses - Winter Term 2

Awards and Support

• Awards and Deadlines
• Tuition Fee Scholarships
• Financial Assistantship
• Policy for Teaching Assistantship
• Teaching Assistantship: Conflict of Interest and Tutoring

Graduate Student Life

• Orientation Day
• Networking & Mentoring

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