Ready to learn more?

Next Cohort: Sep 1-Jun 25

By submitting your email address, you acknowledge and agree to CourseCompare.ca's Terms of Service and Privacy Policy.

Duration

10 months

Tuition

$35,150

  Vancouver

Sep 1-Jun 25

Commitment

Full-Time

Delivery

Classroom

Credential

Degree

Year Founded

1908

Scholarships

yes

UBC’s Master of Data Science in Computational Linguistics is the credential to set you apart. Offered at the Vancouver campus, this unique degree is tailored to those with a passion for language and data. Over 10 months, the program combines foundational data science courses with advanced computational linguistics courses, like natural language processing (NLP), equipping graduates with the skills to turn language-related data into knowledge and to build AI that can interpret human language. Jointly taught by faculty from Arts and Science, MDS-CL students are given access to experts in the fields of Linguistics, Statistics, and Computer Science.

Students learn fundamental data science skills, techniques, and tools with the core Master of Data Science cohort, then branch off into more specialized courses, such as natural language processing (NLP), experiencing the benefits of a large program and small program in one. A small cohort model allows for individualized support from teaching team and encourages community building. Strong connections with industry partners in public and private sectors, start-ups, and leading tech companies offer a wide range of networking/career opportunities for students.

Admission Requirements

  • Proof of completion or enrolment in the following prerequisite courses: Programming, Probability and/or Statistics, and Calculus or Linear Algebra.
  • It is advantageous if candidates have a degree and/or other significant experience relevant to language (e.g., a major or minor in linguistics).

What You’ll Learn

  • Programming for data science.
  • Computing platforms.
  • Data manipulation.
  • Descriptive statistics and probability for data science.
  • Algorithms and data structures.
  • Statistical inference and computation.
  • Corpus linguistics.
  • Databases and data retrieval.

Ready to get started?

Next Cohort: Sep 1-Jun 25

By submitting your email address, you acknowledge and agree to CourseCompare.ca's Terms of Service and Privacy Policy.

Student Reviews (12)

Write a Review

University of British Columbia (UBC)

Better equipped

Tarek F

Vancouver • June 16, 2026

Graduated From

Master of Education (MEd)

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

My experience in UBC's Master of Education program exceeded my expectations. The coursework was relevant, engaging, and directly connected to the challenges facing educators today. I appreciated the opportunity to learn alongside passionate professiona...

My experience in UBC's Master of Education program exceeded my expectations. The coursework was relevant, engaging, and directly connected to the challenges facing educators today. I appreciated the opportunity to learn alongside passionate professionals from diverse educational settings, which enriched every discussion and project. The program helped me strengthen my research, leadership, and problem-solving skills, and I now feel better equipped to make a meaningful impact in my school and community.

University of British Columbia (UBC)

Exceptional balance of academic rigor and practical application

Jorge Gonzalez

Vancouver • June 16, 2026

Graduated From

Master of Education (M.Ed) in Educational Administration and Leadership (EDAL)

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

The UBC Master of Education program provided an exceptional balance of academic rigor and practical application. As a full-time educator, I appreciated the flexible structure that allowed me to continue working while completing my degree. The collabora...

The UBC Master of Education program provided an exceptional balance of academic rigor and practical application. As a full-time educator, I appreciated the flexible structure that allowed me to continue working while completing my degree. The collaborative learning environment exposed me to diverse perspectives from educators across different backgrounds, and the projects I completed had an immediate impact on my professional practice. The experience broadened my career opportunities and strengthened my skills as an educational leader.

Other courses in Data Engineering