Northeastern's Master of Science in Data Analytics Engineering/1-Year Experiential program builds on an engineering or science foundation with data mining, data management, machine learning, and visualization skills and hands-on experience—all needed for a career solving problems and improving products, processes, services, systems, and enterprises across industries. The curriculum provides close connections to industry leaders and accelerates degree completion.
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| Application Notes : | English Language Proficiency Proof: students for whom English is not their primary language must submit one of the following: an official associate or bachelor's degree transcript from an accredited college or university in the U.S, stating degree conferral and date, or TOEFL, IELTS, or NU Global Exam scores. |
| Additional Admission Requirements: | - Letter(s) of Reference
- Resume/Curriculum Vitae
- Statement of Research Interests
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* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.
