Master Of Science - Computer Science - Data Science (Course Option) (Optional Co-op) at UOR - University Of Regina - Program overview

Program overview

Admission Requirements

Intakes

Last updated on 2025-07-23

Program overview

+28

Program overview

Earn a Master’s degree in Computer Science with a specialization in Data Science from the University of Regina. This program is designed to equip students with essential skills in data-focused programming, statistics, and machine learning. The course-based structure allows students to delve into advanced topics such as big data analytics and cloud computing. With a focus on practical applications, the program culminates in a capstone project and a professionally-focused seminar series, ensuring that graduates are well-prepared for the demands of the industry.

Program structure

The Master of Science in Computer Science (Data Science) program at the University of Regina is structured to provide a comprehensive education in data science. The program is designed to be completed in two years for full-time students. Key features of the program structure include:

30 credits of coursework focused on data science principles and practices.
A capstone project that allows students to apply their knowledge in a real-world context.
A professionally-focused seminar series to enhance practical skills and industry readiness.
Part-time study options are available for students who require flexibility.
Co-op work terms are offered, providing valuable career-related work experience.

This program is ideal for those looking to gain a solid foundation in data science while also having the opportunity to engage in practical work experiences through co-op placements.

Featured Experiences

The Master of Science in Computer Science (Data Science) program offers several unique features that enhance the learning experience:

Co-op Work Terms: Students can gain career-related work experience, improving their job search skills and increasing their chances of full-time employment upon graduation.
Capstone Project: A hands-on project that allows students to apply their learning in a practical setting, showcasing their skills to potential employers.
Professionally-Focused Seminar Series: This series provides insights into industry practices and trends, preparing students for the workforce.
Access to Advanced Facilities: Students benefit from state-of-the-art labs and resources, including specialized labs for data mining and computational learning.

These experiences are designed to provide students with a competitive edge in the job market and to foster a deeper understanding of the field of data science.

Career Options

Graduates of the Master of Science in Computer Science (Data Science) program can pursue a variety of career paths in Canada. Some potential job options include:

Artificial Intelligence Researcher: Focus on developing algorithms and models that enable machines to learn and make decisions.
Software Development Engineer: Design and implement software solutions, working on various applications and systems.
Enterprise Software Tool Developer: Create software tools that enhance business operations and improve efficiency.
Systems Integration Engineer: Work on integrating various systems and technologies to ensure seamless operation within organizations.
Computer and Information Research Scientist: Conduct research to advance the field of computer science and develop new technologies.
Cybersecurity and Data Manager: Oversee data security measures and manage data integrity within organizations.
Clinical Research Coordinator: Manage and coordinate clinical trials and research studies, ensuring compliance and data accuracy.

These roles highlight the diverse opportunities available to graduates, reflecting the growing demand for skilled professionals in the field of data science.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

Visit UOR - University Of Regina official website

Last updated on 2025-07-23

Program overview

Academic Requirements

All graduate programs at the University of Regina are competitive. Students who meet the minimum criteria noted below may not be accepted as programs generally receive more applicants than they can admit. Students with the most competitive applications (e.g. higher average, more experience, etc.) are the ones offered acceptance into graduate programs.

Master’s Degree:

A graduating average of at least 70 per cent from a four-year baccalaureate degree (or equivalent) is required for admission to all programs except for English, History, Mathematics and Statistics, and the Master of Public Administration where the required average is 75 per cent.
Applicants with a marginally lower four-year average may be accepted if their performance in the last two complete years is significantly higher (75 per cent or more).
Applicants must have the academic background required to undertake graduate studies in their chosen field. Applicants who fail to meet this requirement but who otherwise meet the criteria may be admitted; however, background deficiencies must be addressed by taking appropriate courses either prior to or in parallel with graduate work.

International Students:

The WES iGPA Calculator provides a grade conversion based on the most common grading scales. This information is helpful in ensuring your completed degree program meets the entry standards for U of R graduate programs. The equivalent score to 70% at the U of R is 2.67 out of 4.00 as per the WES calculator.
Transcripts may be required to be evaluated by WES in some cases.

For any clarification and support regarding the Academic Requirements, please contact LOA Portal's advisors.

Language Requirements

International applicants, except those who attended universities where the language of instruction was English, must submit proof of English proficiency, usually in the form of recognized tests. The following English proficiency tests are accepted:

TOEFL (Test of English as a Foreign Language) - Minimum score of 80 Internet-based.
CAEL - Minimum score of 70.
IELTS (Academic) - Minimum score of 6.5 overall, with no band lower than 6.0.
PTE (Pearson Test of English) - Minimum score of 59.
MET (Michigan English Test) - Minimum score of 54.
U of R ESL - Completion of EAP 100/101.
Duolingo - Minimum score of 125 overall, with at least 120 for Speaking, Writing, and Reading, and 115 for Listening.

Please note that a minimum score may render an applicant ineligible for graduate teaching assistantships.

If a student is taking ESL at the University, they must successfully complete EAP 100/101 in order to be considered for graduate work. EAP 100/101 does not meet the minimum English proficiency requirements for some programs. For those programs, students are required to take a different test to meet Academic Requirements.

Please check with our team for more details.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors. The listed minimum requirements are a guideline and do not guarantee admission. Do not worry, we will notify you of any changes during the application process.

Not meeting the minimum language requirements?

You may still be able to apply!