MSc Data Analytics Engineering – NEU
Course Overview
Northeastern University’s Master of Science in Data Analytics Engineering delivers multidisciplinary graduate training combining computer science, advanced statistics, database architecture, and data engineering.
Students learn to design and build scalable data pipelines, manage cloud-based big data infrastructure, and apply machine learning algorithms to complex enterprise problems. The curriculum emphasizes practical software tools and data governance frameworks. Graduates step into high-demand engineering roles building robust analytics systems for global corporations.
Entry Requirements
- Recognized 4-year undergraduate degree in engineering, computer science, or quantitative discipline
- Official academic transcripts
- Resume/CV and Statement of Purpose
- Letters of recommendation
- Proof of English Language Proficiency (IELTS 6.5 overall or equivalent)
Career Outcomes
- Data Engineer
- Big Data Architect
- Analytics Infrastructure Lead
- Quantitative Data Analyst
- Business Intelligence Engineer
Scholarship Available
- Yes (Northeastern Graduate Merit Scholarships)
Key Information
Location
Vancouver, British Columbia, Canada
University
North Eastern University
Intakes
January, September
Tuition Fee
$20,000 / Year
Duration
2 Years (32 semester hours)
Language
English
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Vancouver, British Columbia, Canada
North Eastern University
