Master of Science in Applied Data Analytics

ON CAMPUS | ONLINE

The Master of Science in Applied Data Analytics (MSADA) 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. The curriculum provides a thorough immersion in concepts and techniques for organizing, cleaning, analyzing, and representing/visualizing large amounts of data. Students will be exposed to various database systems, data mining tools, data visualization tools and packages, Python packages, R packages, and cloud services. The knowledge of analytics tools combined with understanding of data mining and machine learning approaches will enable students to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.

Students who complete the master’s degree in Applied Data Analytics will be able to demonstrate:

  • Knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis.
  • The ability to apply various data visualization techniques using real-world data sets and analyze the graphs and charts.
  • Understanding of web analytics and metrics, procuring and processing unstructured text/data, and the ability to investigate hidden patterns.
  • Knowledge-discovery skills using data mining techniques and tools over large amounts of data.
  • The ability to implement machine learning algorithms and their pertinence in real-world applications.
  • Comprehensive knowledge of data analytics techniques, skills, and critical thinking, and an understanding of the possibilities and limitations of their applications.

Program Prerequisites

Applicants must have an earned bachelor’s degree, in any field of study, from a regionally accredited college/university (or the international equivalent) prior to enrollment at MET. Applicants are not required to have a degree in Computer Science for entry to a program within MET’s Computer Science department. Applicants 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.

Prerequisites (open to all students):

    • MET LB 103 Core Mathematical Concepts
    • MET LB 104 Foundations of Probability
    • MET LB 115 Database Fundamentals

    Master’s in Applied Data Analytics Degree Summary

    • A total of ten courses (40 units) is required. Students exempted from the foundation courses will complete a total of eight courses (32 units).
    • Students not choosing a concentration must complete recommended prerequisites and foundation courses, core courses, and general electives. Students pursuing a concentration should review the requirements for AI & Machine Learning or Data Engineering concentrations.
    • Requirements can be completed full time or part time on campus, or, part time online. Some classes may not be available in both formats, consult an administrative advisor to determine which classes are available in each format.
    • Applications are accepted throughout the year. The online program has six start dates a year and the on campus program has three.
    • An average grade of B (3.0) must be maintained to be in good academic standing and satisfy the degree requirements. The minimum passing grade for a course in the graduate program is a C (2.0).

    For students who matriculated before Fall 2025, and wish to continue with the previous curriculum, please check the following link for the degree requirements: 2024–2025 MSADA Degree Requirements

    MSADA Foundation Courses

    (Two courses/8 credits)

    Upon admission, qualified students may be excused from one or both foundation course requirements based on previous academic background in information technology, computer science, and mathematics. Foundation courses must be completed within the first semester of study. 

      MSADA Core Courses

      (Four required courses/16 credits)

      Students who have completed courses on core curriculum subjects as part of their undergraduate degree program may request permission from the Department of Computer Science to replace the corresponding core courses with graduate-level MS in Applied Data Analytics electives.

      MSADA Concentration Options

      When choosing electives, students should make sure that they have all prerequisites required by the selected course or, instructor’s consent.

       

       

       

       

      Related Graduate Certificates

      Students who are currently enrolled in the Master of Science in Applied Data Analytics have the option to complete a certificate program without reapplication. Classes may count towards both a certificate and degree program (if requirements indicate the same course). However, please refer to the Academic Policies Manual regarding classes overlapping between two certificate programs. To add a certificate to your academic profile, email your designated program administrator at metcs@bu.edu (on campus students) or metcsol@bu.edu (online students).

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