{"id":6890,"date":"2025-11-05T11:42:47","date_gmt":"2025-11-05T16:42:47","guid":{"rendered":"https:\/\/www.bu.edu\/online\/?post_type=bu-program-page&p=6890"},"modified":"2026-04-08T09:53:39","modified_gmt":"2026-04-08T13:53:39","slug":"ms-applied-data-analytics-data-engineering-concentration","status":"publish","type":"bu-program-page","link":"https:\/\/www.bu.edu\/online\/degrees-certificates\/analytics-data-business-programs\/ms-applied-data-analytics-data-engineering-concentration\/","title":{"rendered":"Online Master of Science in Applied Data Analytics, Data Engineering Concentration"},"content":{"rendered":"\n

Build Expertise in Data Engineering and Advanced Analytics<\/strong><\/h2>\n\n\n\n

The MS in Applied Data Analytics<\/a> concentration in Data Engineering prepares you to design, build, and maintain scalable data pipelines, manage large datasets, and ensure data quality and security\u2014skills essential for today\u2019s data-driven organizations.<\/p>\n\n\n\n

Through BU MET\u2019s Data Engineering concentration, you will gain expertise in data ingestion, transformation, and processing using cutting-edge tools and techniques. The curriculum covers databases, applied machine learning, large-scale data processing, and data visualization within a rigorous academic framework. This comprehensive training equips you to support data analytics workflows that drive informed business decisions.<\/p>\n\n\n\n

As a graduate of the Applied Data Analytics master\u2019s concentration in Data Engineering, you will be prepared for advanced roles such as data engineer, analytics engineer, and data architect. Additionally, you will build strong predictive modeling and analytical skills sought after by employers in diverse industries such as finance, healthcare, technology, and telecom.<\/p>\n\n\n\n

The MS in Applied Data Analytics, Data Engineering concentration is also available on campus in Boston. Learn more.<\/a><\/p>\n\n\n\n

Curriculum<\/h2>\n\n\n\n

A total of ten courses (40 units) is required. Students exempted from the foundation courses will complete a total of eight courses (32 units).<\/p>\n\n\n\n

Students must complete recommended prerequisites along with the foundation courses (unless exempted), core courses, and Data Engineering concentration requirements.<\/p>\n\n\n

Prerequisites<\/h3>
<\/p>\n\n\n\n

Applicants to the program are required to have a bachelor\u2019s degree in any discipline from a regionally accredited institution. Students with limited academic background in information technology, computer science, and mathematics may be required to enroll in one or more of the following complimentary labs. Recommendations will be provided upon admission.<\/p>\n\n\n\n

Prerequisites (open to all students):<\/p>\n\n\n\n