Prepare for Critical Data Analytics Roles

Available online and on campus, the Master of Science in Applied Data Analytics (MSADA) at Boston University’s Metropolitan College (MET) is a hands-on program that exposes you 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 an understanding of data mining and machine learning approaches will enhance your ability to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.

Program at a Glance

  • Online and On Campus
  • Part-Time or Full-Time Study
  • 32 Credits
  • 8–16 Months to Completion
  • 17 Core Faculty
  • No GRE/GMAT
  • Tuition & Fees—Part-Time Study*: $25,640

*Based on 2022–2023 Boston University tuition and fees. Merit scholarship may reduce cost.

Advance Your Career with a Master’s in Applied Data Analytics

With data analytics needs influencing every major industry—including healthcare, tech, finance, communication, entertainment, energy, transportation, government, and manufacturing, to name some—there is significant growth in specialized data science, data engineering, automation, AI, and machine learning areas. Yet the demand for skilled talent continues to outpace supply. QuantHub research confirms a shortfall of 250,000 data scientists in 2020, while McKinsey Global Institute anticipates as much as 12 percent annual growth in demand for graduates from data science programs over the next decade.

To harness the potential of this big data revolution, you need advanced techniques.

As a graduate of the MS in Applied Data Analytics program at BU MET, you will be able to demonstrate the ability to create powerful predictions through modeling and machine learning, and drive critical business decisions—skills needed to excel in a growing list of roles such as data scientist, economist, data analyst, business intelligence analyst, systems analyst, chief analytics officer, analytics manager, marketing analyst, business analyst, or financial analyst, among others.

U.S. News & World Report Best Online Programs - Graduate Computer Information Technology 2023

#10, Best Online Master's in Computer Information Technology Programs

MET’s online master’s degrees in computer information technology are ranked #10 in the nation by U.S. News & World Report for 2023.

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What Do My Career Options Look Like with a Master’s in Computer Science from BU’s Metropolitan College?

Computer Science Career Outlook

Top computer science careers in data science, software development, and other popular areas of IT.

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Why BU’s Applied Data Analytics Master’s is Ranked in the Top 10

  • Active Learning Environment: BU MET’s Applied Data Analytics courses ensure you get the attention you need, while introducing case studies and real-world projects that ensure you gain in-depth, practical experience with the latest technologies.
  • Engaged Faculty: In BU MET’s Applied Data Analytics master’s program, you benefit from working closely with highly qualified faculty and industry leaders who have substantial backgrounds and achievements in data analytics, data science, data storage technologies, cybersecurity, artificial intelligence (AI), machine learning, software development, and many other areas.
  • Extensive Network: Study Applied Data Analytics alongside fellow professionals from all backgrounds, learn from faculty who have valuable IT contacts across several sectors, and benefit from an alumni community with strong professional connections.
  • 15:1 Class Ratio: Enjoy an exceptional student-to-instructor ratio, ensuring close interaction with faculty and access to support.
  • Valuable Resources: Make use of Boston University’s extensive resources, including the Center for Career Development, Educational Resource Center, Fitness & Recreation Center, IT Help Centers, Mugar Memorial Library, Center for Antiracist Research, Howard Thurman Center for Common Ground, George Sherman Union, Rafik B. Hariri Institute for Computing and Computational Science & Engineering, and many others.
  • Flexible Options: Study at the pace that works for you, evenings on campus or fully online. Courses begin fall, spring, and summer; online courses have two starts per term.
  • Track Record: Learn from the best—BU MET’s Department of Computer Science was established in 1979 and is the longest-running computer science department at BU. Over its four decades, the department has played an important role in the emergence of IT at the University and throughout the region.
  • Merit Scholarships: All applicants are automatically considered, and admitted students are nominated based on eligibility.

Master the Tools to Excel in Applied Data Analytics

Offered through BU MET’s Department of Computer Science, the Master of Science in Applied Data Analytics can set you apart by adding invaluable analytics expertise, skills, and projects to your résumé.

Ideal for mid-career IT professionals or students, BU MET’s Applied Data Analytics curriculum provides solid knowledge of data analytics and examines the presentation and applications of the latest industry tools and approaches within an academically rigorous framework. Emphasizing both data analytics and applied areas—including databases, applied machine learning, and large dataset processing methods—the Applied Data Analytics master’s curriculum provides a thorough immersion in concepts and techniques for organizing, cleaning, analyzing, and representing/visualizing large amounts of data.

Graduate with Expertise

Metropolitan College’s Applied Data Analytics master’s degree will equip you with:

  • Knowledge of the foundations of applied probability and statistics and their relevance in day-to-day data analysis.
  • Comprehension of computing concepts and application requirements involving massive computing needs and data storage.
  • 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 recognize 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.

Certificate-to-Degree Pathway

BU MET graduate certificate programs can serve as building blocks to a master’s degree. The Graduate Certificate in Data Analytics and Graduate Certificate in Database Management & Business Intelligence share specific courses with the master’s in Applied Data Analytics program, giving you the option to take the certificate on your path to a master’s degree. To be eligible for the degree, you must apply for admission and be accepted into the degree program. Connect with a graduate admissions advisor at csadmissions@bu.edu to learn more about this option.



A total of 32 credits is required.

Core Curriculum

(Six courses/24 credits)

General Electives

(Two courses/8 credits)

Choose two electives from the following list (some courses may not be available in the online format):

Second Master’s Degree Option

Second Master’s Degree Option

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Computer Science Faculty

Learn more about the Department of Computer Science

Tuition & Financial Assistance

Competitive Tuition

Our part-time rates are substantially lower than those of the traditional, full-time residential programs yet provide access to the same high-quality BU education.

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Comprehensive Financial Assistance

Our services include scholarships, graduate loans, and payment plans.

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Get Started

Please visit the BU MET admissions page for details on how to apply, financial assistance, tuition and fees, requirements for international students, and more.

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News & Events

Events

April 18th, 2023 at: 2:30pm - 3:15pm

Financing your BU MET Graduate Education (for DOMESTIC students)

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April 21st, 2023 at: 10:00am

Computer Science Research Seminar Series: Multimodal Machine Learning and Human-Centered Computing for Health and Wellbeing

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