

Master of Data Science
- Public University
Faculty of Science
Master of Data Science at UBC Overview
The University of British Columbia is among the popular universities to study Master of Data Science from abroad. The duration of Master of Data Science program is 10 months. The first-year The University of British Columbia tuition fee for Master of Data Science is around CAD 54,732. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around CAD 14,823. Indian students must meet The University of British Columbia admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 10 months Get Curriculum |
Tuition & Fees | ₹41.25 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Data Science at UBC Fees
Students can pursue The University of British Columbia Master of Data Science at an affordable cost. The university tuition fees for the program is CAD 54,732. Apart from tuition fees, students also manage additional costs such as Hostel and Meals, Transportation, Books and Supplies, Personal Expenses, etc. The total expense may vary at the university, depending on the additional charges levied by The University of British Columbia.
International students have to make a budget to manage the cost of living, which is CAD 14,823.
Students can check the table below for The University of British Columbia Master of Data Science fee breakup:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 41,25,123 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 10,63,201 |
| Insurance | INR 65,428 |
Master of Data Science at UBC Curriculum
Check more information about the The University of British Columbia Master of Data Science course by clicking the green button below. The Curriculum PDF covers various details and facts about the university including the specialization, courses, duration of the course, language requirement, electives and many more along with a semester-wise breakup of the course.
Download exam sample paper
Master of Data Science at UBC Entry Requirements
- No specific cutoff mentioned
- 76%
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- Applicants must have a four-year Bachelor's Degree or a Master's degree with a First Class/Division 1 (65%) or Very Good (8 on a 10-point scale)
- Applicants should have their bachelor degree in Engineering, Forestry or Medicine, Bachelor's degree
- Prerequisites:
- One course in programming
- One course in probability and/or statistics
- One course in calculus or one course in linear algebra.
- Completion of a course in both calculus and linear algebra is strongly recommended
- The prerequisites can be taken at UBC or at an academic equivalent post-secondary institution. You must have a minimum B+ (76% at UBC) average in your prerequisite courses.

Calculate your score and check your eligibility at over 2000+ universities.
- N/A
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- 3 year degrees are an acceptable basis of admission if:
- The applicant’s overall standing in degree is 1st Class/Division, AND
- The awarding institutions have been accredited by India’s National Assessment and Accreditation Council (NAAC) with a grade of A or better http://www.naac.gov.in/ OR
- The awarding institution is designated an Institution of National Importance, such as the Indian Institute of Technology
- 3 year degrees are an acceptable basis of admission if:

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 100/120
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- No specific cutoff mentioned
- NA
- Marks - 7/9
- With a minimum score of 6.5 in each component
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- Preference will be given to applicants with relevant professional experience
- Applicants must have their own laptop
- Can connect to networks via a wireless connection for on campus work
- Has access to an internet connection that is fast and stable enough for video calling and conducting online quizzes
- Has at least 50 GB disk space available
- Has a minimum 8 GB of RAM
- Is at most 6 years old at the start of the program (4 years old or newer is recommended)
- Uses a 64-bit CPU
- Uses English as the default language
- Student user has full administrative access to the computer
- Recorded Virtual Interview:
- For the Master of Data Science - Vancouver program ONLY and NEW for this year - After you submit your application form, you will be emailed an invitation with a link to record and submit a virtual interview in which we will ask you several questions about your experience, motivation, communication skills, etc. You will be emailed detailed instructions and deadlines in early February
Master of Data Science at UBC Frequently Asked Questions
Master of Data Science at UBC Application Process
- Score of English proficiency test is required
- Proof of citizenship by passport
- Unofficial transcripts for all courses, including but not limited to exchange courses, zero-credit courses and courses completed at an international institution
- Students can pay their fees in three equal installments
Master of Data Science at UBC Rankings
| Rank | Rank Publisher |
|---|---|
| #27 | |
| #34 | |
| #37 |
Master of Data Science at UBC Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes |
Master of Data Science at UBC Students also asked
The University of British ColumbiaStudents Ratings & Reviews
- 31% students never faced discrimination in this university
Master of Data Science at UBC Highlights
- The MDS program was developed by the combined expertise of the UBC departments of Computer Science and Statistics to help meet a growing need for data scientists by producing skilled professionals who can turn data into knowledge
- Data science is the process of extracting value from that data through reproducible and auditable processes
- UBC's Master of Data Science program was designed to address this workforce gap by equipping students with the technical skills, practical experience, and most importantly, the confidence to seize opportunities in an ever-expanding field
- The program structure includes 24 one-credit courses offered in four-week segments. Courses are lab-oriented and delivered in-person with some blended online content
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