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CA (CAN) - Canada Masters On-Campus

Master of Science - Data Analytics Engineering

Northeastern University - Vancouver

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Course code
77A2F7E16E
Duration
24 months
Language
English
Institution type
Private
Institution profile
Course overview

The Master of Science in Data Analytics Engineering provides the knowledge and skills to improve products, processes, systems, and enterprises through data mining, data management, machine learning, and visualization. Building on their engineering or science background, students will develop expertise in the analysis and optimization of data to solve problems and support decision making. They will gain rigorous analytical skills and research experience through technically advanced core courses in operations research, statistics, data mining, database management, and visualization, while specializing their degree with flexible electives from across Northeastern’s colleges. Some elective courses include Big Data, smart manufacturing, machine learning, business or healthcare analytics, network science, and Internet of Things. They’ll be prepared to take on a data analyst position in any industry or enter a doctoral program in areas including engineering healthcare, business, finance, security, or sustainability.

Fees and intakes

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Fees are available on request.

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Entry snapshot

Language requirements
IELTS
Minimum score on request
63981ff6a0844ae27fc08a21
Academic requirements
Bachelors
Qualification review required
63982080a0844ae27fc0a93a

Campuses

Vancouver Campus · CA