What is machine learning Masters?

The Master of Science in Machine Learning offers students with a Bachelor’s degree the opportunity to improve their training with advanced study in Machine Learning. Incoming students should have good analytic skills and a strong aptitude for mathematics, statistics, and programming.

Is a masters enough for Machine Learning?

Machine learning engineers are generally expected to have at least a master’s degree, and sometimes a Ph. D. in computer science or related fields. Advanced knowledge of mathematics and data analytical skills are critical components of a machine learning engineer’s background.

Why choose McGill for data science?

McGill offers many academic programs and courses that will equip you with data science skills and knowledge for your career. Computer Science (Sci): Database Design: conceptual design of databases (e.g., entity-relationship model), relational data model, functional dependencies.

What are the benefits of studying at McGill?

Across all programs, students benefit from small class sizes, an international student body, and McGill’s vast alumni network. Opportunities for hands-on learning also abound, allowing students to visit international cities and organizations, as well as put their knowledge into practice.

How do I find a research advisor at McGill University?

Although renowned as a research-intensive university, McGill also offers a wide variety of professional programs which are not research-based. Search and view faculty member profiles to locate potential advisors with similar research interests as yours. Look in other departments for researchers in related fields.

What are the different types of MBA programs at McGill University?

Masters Programs. MBA; MBA/Law; McGill HEC Montréal Executive MBA (EMBA) Global Manufacturing and Supply Chain Management Program (GMSCM) Master of Management in Analytics (MMA) Master of Management in Finance (MMF) Master of Management in Retailing (MMR) Graduate Certificate in Healthcare Management (GCHM)

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