The Master of Science in Data Architecture and Management offers a multitude of courses in data engineering, including supplementary courses required to deliver data results to management in a meaningful way. We plan to cover data management, advanced data management, data warehousing and business intelligence, column databases, data science engineering, and big-data engineering. On the software engineering side, we offer advanced big-data programming using the powerful Scala language and a course on advanced data science as well as cloud computing. We also offer multi-thread concurrent computing—important for synchronizing a huge set of servers working in parallel to do large scale analytics, making things run faster by 100s-fold increase in speed. Due to the high-level mathematical operations required to make these programs run, only software engineers can work in these complicated areas. Only they can make the necessary mathematical algorithms execute quickly enough to get the finest results.
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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.