Bachelor of Science — Data Science
Introduction
Bachelor of Science — Data Science is a Bachelor program taught at Mount Royal University, Canada. Intake: Fall. The program is offered in campus-based modes with full-time (4 years) options.
The Bachelor of Science in Data Science at Mount Royal University provides students with a comprehensive foundation in the field of data analysis, statistics, and computer programming. The course is designed to equip students with the skills needed to understand, analyze, and leverage data to solve real-world problems. Over the course of the program, students will explore various topics including data visualization, machine learning, and statistical inference.
Students are immersed in a practical learning environment that emphasizes project-based work, collaborative learning, and critical thinking. The curriculum balances theoretical knowledge with hands-on experience using modern data tools and technologies. This approach prepares graduates for the dynamic and rapidly evolving world of data science.
Studying Data Science in the university's location offers students access to a vibrant tech community and numerous opportunities for networking, internships, and collaboration with industry leaders. The university promotes an inclusive environment where students from diverse backgrounds can thrive and grow professionally.
Admission Requirements
The minimum requirements for admission in Bachelor of Science — Data Science at Mount Royal University for all applicants (Domestic or International) are:
- program specific academic requirment set by Mount Royal University.
- English Language OR any other language requirments as set by Mount Royal University as pre-requiste for admission in Bachelor of Science — Data Science.
Note: Please check the university website in the link below.
To be eligible for the Bachelor of Science in Data Science, applicants typically need a high school diploma with a strong emphasis on mathematics and science subjects. Specific prerequisites may include courses in calculus, statistics, and computer programming. Previous experience in technical fields and foundational knowledge in computing can be beneficial.
International applicants are usually required to demonstrate proficiency in English. Typical acceptable scores include a minimum of 6.5 on the IELTS or 80 on the TOEFL. It is essential for prospective students to check the specific requirements, as these may vary.
Courses Units
Please check detail of study units at https://www.mtroyal.ca/ProgramsCourses/ProgramsOffered/index.htm
More Information
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Statistician
- Data Engineer
- Quantitative Analyst
Scholarships
51 fully funded scholarships are listed for Canada. See Canada scholarships.