Master of Science (M.Sc) in Data Science

Tuition Fees

$ 20,000.00

Minimum Deposit

$ 5,000.00

Scholarship

$ 4,000.00

Application Fees

$ 100.00

Durations

2 Years

Course Overview

The Master of Science (M.Sc) in Data Science at Thompson Rivers University (TRU) in Canada provides advanced training in data analytics, machine learning, and big data management, ideal for students aiming to study in Canada. This program combines rigorous coursework with hands-on projects, preparing graduates for impactful roles in data-driven industries. Scholarships are available to support international students’ study in Canada, and TRU’s International Admission Service simplifies the application process. Studying at TRU... Read more

Career Opportunities

Graduates of the MSc in Data Science from Thompson Rivers University (TRU) have a wide range of career opportunities in sectors such as technology, finance, healthcare, and government. Common roles include data scientist, machine learning engineer, business intelligence analyst, data engineer, and quantitative analyst. Equipped with skills in data analytics, big data, and machine learning, TRU graduates are well-prepared for high-demand positions in both public and private sectors. Many pursue specialized certifications or roles in research, enhancing their career prospects in Canada’s tech industry and globally. Read more

Course Summary

Thompson Rivers University
805 Tru Way, Kamloops, BC V2C 0C8, Canada
2 Year's Post Graduation (PG)
Program Length
Available Intakes
Sep

$ 20,000.00/Year
Tuition Fees
Minimum Deposit
$ 5,000.00
Scholarship
$ 4,000.00
$ 100.00/Year
Application Fees
$ 15,000.00/Year
Living Cost

Find More

University

Thompson Rivers University

Canada

805 Tru Way, Kamloops, BC V2C 0C8, Canada

Admission Requirements

Academic Requirements

Minimum Level of Education Completed

Bachelor

Minimum Mark (%) OR Minimum CGPA

Mark:73% OR CGPA:3.0

English Proficiency Test Requirements

IELTS

6.5 Overall

Reading

6.0

Writing

6.0

Listening

6.0

Speaking

6.0

Additional Requirements

Acceptable four (4) year bachelor degree or equivalent in a discipline of science, or a related discipline with a minimum average grade in the last 60 credits of:
B (GPA of 3.00 on a scale of 4.33) for project option;
B+ (GPA of 3.33 on a scale of 4.33) for thesis option.

Preference will be given to students who have specialized in the areas of Statistics, Computing Science, Mathematics and Engineering.

Prospective students are expected to demonstrate working knowledge of statistics, data structures and algorithms, databases and R/Python software packages. Examples of course work that demonstrates such knowledge at Thompson Rivers University are MATH 2110 (Calculus III), MATH 2120 (Linear Algebra), STAT 2000 (Introduction to Statistics) and COMP 1231 (Computer Programming II).
Two letters of reference** from academics or professionals. Letters should comment on the applicant’s academic ability and record, training, research/work experience, in particular relating to statistics, programming, data analysis, machine learning, or AI.
Official academic transcript(s)** from all prior post-secondary institutions attended.