Master in Modelling and Computational Science (Master's program)

Ontario Tech University, located in Oshawa, Canada, is a modern institution that stands out for its strong emphasis on experiential learning and industry collaborations. You will find advantages in its technology-driven approach, access to cutting-edge research facilities, and a supportive network of faculty and industry professionals. Specifically, the university's focus on innovation and research makes it an attractive choice for international students looking to excel in their fields.

The university focuses on subjects like engineering, business, health sciences, and computer science, offering 141 programs. You can explore different fields, including programs that combine multiple disciplines. English is the primary language of instruction, providing you with opportunities to improve your language skills and connect with students from diverse backgrounds.

As a student, you will be part of a community of 10,000 students, including 1,500 international students, on a campus that provides modern labs, entrepreneurship opportunities, and a range of activities. Oshawa, the city where the university is located, offers a unique blend of small-town charm and access to larger cities like Toronto, making it an ideal location for students who want to experience Canadian culture and lifestyle. You will have opportunities to engage with the local community, participate in research projects, and build a network of professionals in your field.

The Master in Modelling and Computational Science at Ontario Tech University is a Master's program that combines math, science, and computer science to help students model real-world phenomena. It's for students who want to use math to understand complex problems. The program lasts a few years and gives students access to state-of-the-art computing facilities.

The curriculum covers subjects like modelling and computational science, and helps students develop skills in math, science, and computer programming. Students will work on projects and research, and have access to advanced computing facilities through the university's membership in research networks.

Graduates can work as research scientists, data analysts, computational biologists, climate modellers, or quantitative analysts in industries like healthcare, finance, or environmental science. They can work for employers like research institutions, government agencies, or private companies.