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The Master of Science in Data Analytics Engineering equips students with specialized training for industry careers or provides them with advanced analytical techniques and research experience to pursue doctoral studies in health, security, and sustainability at Northeastern University.
The Department of Mechanical and Industrial Engineering delivers this program to address the increasing demand for professionals skilled in data analytics. Core courses are administered by the College of Engineering, while students can select electives from a wide range of disciplines across Northeastern's academic units. The curriculum prepares graduates to fulfill the rising need for experts capable of processing complex data sets and converting them into clear, practical insights for decision-making. Industries seeking these professionals span healthcare, advanced manufacturing, logistics, national security, finance, marketing, and human resources.
This program trains students in essential competencies such as data collection, storage, processing, and analysis, along with identifying trends, deriving meaningful conclusions, and formulating strategic recommendations.
Enrolling graduate and professional program students are required to submit to Northeastern University (NU) their official transcripts including evidence of the completion of the bachelor’s degree and the date of degree conferral within 30 days from the start of their first academic term.
Minimum Score Required: TOEFL: Test of English as a Foreign Language: 79 and a writing portion of 20; Academic IELTS: 6.5 no band lower than 6; Pearson: 53; Duolingo English Test: (ON 160-POINT SCALE): 105; (ON 100-POINT SCALE): 48.
Fall Admissions: International student deadline outside the US: June 1; International student deadline inside the US: July 1; Spring Admissions: International student deadline outside the US: September 15; International student deadline inside the US: November 1