Master of Science in Applied Data Analytics

With data analytics needs influencing every major industry—including health care, tech, finance, communication, entertainment, energy, transportation, government, and manufacturing, to name some—the demand for skilled talent continues to outpace supply, with McKinsey Global Institute anticipating a shortfall of up to 250,000 data scientists through the decade.

Offered on campus and online, the Master of Science in Applied Data Analytics (MSADA) program at Boston University’s Metropolitan College (MET) is ideal for mid-career IT professionals or students with a computer science background who seek to train their focus on analytics. Students gain solid knowledge of data analytics and examine 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 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 such as Amazon AWS, Google Cloud, and Mass Open Cloud.

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.
  • Comprehension of computing concepts and applications 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.

Program Options

Available on campus and in the following formats:

To view a full list of Computer Science courses offered by Metropolitan College, visit the Computer Science & IT Graduate Courses page.