MS in Applied Data Analytics at Boston University

Programme overview

The Master of Science (MS) in Applied Data Analytics program provides students with solid knowledge of the foundations of data analytics and emphasizes the presentation and discussion of the latest industry tools and approaches within an academically rigorous framework.

Faculty: Metropolitan College | Study mode: full-time | Location: Boston, MA, United States

What you will study

Students are required to complete the foundation courses (unless exempted for approved equivalent academic background), core courses, and either general electives or concentration courses. Students who want to earn one or more concentration(s) must satisfy the stated requirements of each concentration they wish to pursue. A total of 10 courses (40 units) is required.

Official programme page

Application information

Entry requirements

For current admissions information, please visit the Metropolitan College website. All students are enrolled in the following free, non-unit, preparatory labs designed to strengthen their academic foundation and serve as a key resource for the degree program. Requirements for completion are assessed during the application process. MET LB 103 Core Mathematical Concepts

Graduate School of Arts & Sciences master's programmes admit for Fall 2027; Spring 2027 entry is offered for selected programmes (Economics MS programmes, History of Art & Architecture MA, Preservation Studies MA, Online MS in Computer Science & Artificial Intelligence).

Graduate School of Arts & Sciences Fall 2027 master's deadlines are mostly priority January 15 and final March 15 (African American & Black Diaspora Studies priority February 15, final March 15; Preservation Studies February 15; Sociology and History of Art & Architecture January 15). Spring 2027 deadlines for selected programmes are priority October 15 and final November 15. Applications are submitted through the online application; the GRE is required only for the Economics MS/MA programmes and the MS in Psychological & Brain Sciences.

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