Master of Engineering In Applied Data Science, University of Victoria

12 Months

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About this course

The MEng in Applied Data Science (MADS) program is designed to prepare students for careers in data-driven industries. It is a course-based degree that emphasizes practical knowledge in data sciences, suitable for motivated students and IT professionals. Over the course of a year, students will learn to analyze and manage data sets, apply data analytic methods, and understand data security and privacy concerns. The program also focuses on developing communication skills to effectively share technical knowledge with stakeholders and the community.

Why this course is highly recommended

This course is ideal for those interested in entering the fast-growing field of data science. Its practical, project-oriented approach ensures students gain relevant skills that can be directly applied in the workplace. It also offers flexibility with an optional co-op component, providing valuable industry experience.

Specialisation

This program offers specialization in applied data science, focusing on techniques and methods that are transforming businesses worldwide. It prepares students to manage data securely and ethically while solving complex problems using data analytics.

Course fees

Application fees

1st year tuition fees

25.21L

Living cost

Degree requirements

Most students accepted into this program hold an undergraduate degree in electrical or computer engineering, computer science, or a related field. To complete the program, students must meet the minimum course requirements, submit references, a résumé, a statement of intent, and transcripts.

English language test

DUOLINGO

TOEFL

PTE

IELTS

6.5

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the University of Victoria admission page for complete details.

Career prospects

Graduates of this program can expect to work in data analytics, data management, and data security roles across various industries. The training prepares students to manage large datasets, apply analytic methods, and communicate findings effectively.

FAQs

What are the application deadlines?

For September entry, the deadline is June 30 and April 30; for January entry, it is October 31 and August 31.

Do I need a supervisor before applying?

No, you do not need to find a supervisor before applying to this program.