Master of Science (M.Sc) in Data Science
Thompson Rivers University
805 Tru Way, Kamloops, BC V2C 0C8, Canada
$ 20,000.00
$ 5,000.00
$ 4,000.00
$ 100.00
2 Years
Course Overview
The Master of Science in Data Science (MScDS) is a two-year graduate program that helps students gain advanced knowledge, practical techniques, and research experience in data science. This program combines theory and application to prepare graduates for leadership roles in the fast-growing field of data science at regional, national, and global levels. As one of the most versatile data science programs, it offers students a choice between the Graduate Project option and the Graduate Thesis option, allowing them to focus on either applied or... Read more
The Master of Science in Data Science (MScDS) is a two-year graduate program that helps students gain advanced knowledge, practical techniques, and research experience in data science. This program combines theory and application to prepare graduates for leadership roles in the fast-growing field of data science at regional, national, and global levels. As one of the most versatile data science programs, it offers students a choice between the Graduate Project option and the Graduate Thesis option, allowing them to focus on either applied or research-based learning. Students in the MSc in Data Science program build strong skills in data analytics, critical thinking, communication, and teamwork. These abilities open doors to careers in big data, artificial intelligence, and technology-driven industries, while also providing a solid foundation for further research and academic advancement. This balanced approach makes the program ideal for students seeking to develop as professionals or researchers in the field of data science.
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Career Opportunities
Graduates of the Master of Science in Data Science program enter a rapidly growing job market where data-driven decision-making is increasingly essential. With an MSc in Data Science, students gain advanced skills in data analytics, statistical modeling, machine learning, and research methods. These abilities prepare them for roles such as data scientist, data analyst, machine learning engineer, and business intelligence specialist. Many graduates also work as data consultants, prominent data architects, or pursue research and teaching positions in universities. Choosing the Graduate Thesis option strengthens research and academic pathways, while the Graduate Project option supports careers... Read more
Graduates of the Master of Science in Data Science program enter a rapidly growing job market where data-driven decision-making is increasingly essential. With an MSc in Data Science, students gain advanced skills in data analytics, statistical modeling, machine learning, and research methods. These abilities prepare them for roles such as data scientist, data analyst, machine learning engineer, and business intelligence specialist. Many graduates also work as data consultants, prominent data architects, or pursue research and teaching positions in universities. Choosing the Graduate Thesis option strengthens research and academic pathways, while the Graduate Project option supports careers in applied industry settings. Because the program blends technical knowledge with critical thinking and communication skills, graduates are highly valued in technology firms, financial institutions, healthcare organizations, government agencies, and research centers. This combination of skills and flexibility allows students to build long-term careers and grow into leadership roles in the expanding field of data science.
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Course Summary
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805 Tru Way, Kamloops, BC V2C 0C8, Canada
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2 Year's Post Graduation (PG)
Program Length -
Available Intakes
Sep
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$ 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
University
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
6.0Writing
6.0Listening
6.0Speaking
6.0Additional 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.
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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).
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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.
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Official academic transcript(s)** from all prior post-secondary institutions attended.
** Note: Required supporting documents must be sent directly to Thompson Rivers University from the referee or institution.