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Align MS in Data Science

The Align MS in Data Science program is no longer enrolling new students. Interested students are encouraged to explore alternative Align program offerings: Align MS in Computer Science (with an online option), Align MS in Cybersecurity, and Align MS in Artificial Intelligence.

Our enrollment counselors are available to answer questions about these programs:  Khoury-prospect@northeastern.edu.

Explore program requirements in the course catalog

Program highlights

Semester hours

44 total semester hours required

Program modality

In person

Career prospects and top employers

In the digital age, every industry relies on data to stay competitive. Companies of all sizes across the country are actively looking to fill thousands of data-driven roles. Our recent graduates have found success in a variety of companies such as Baker Newman Noyes, Braincube, Daedaline, Grantx, IDEXX, JP Morgan Chase, NMR Group, Inc., OPN Healthcare, S&P Global, Takeda, Unum, ZoomInfo, and more in careers that include:

  • Data scientist
  • Data engineer
  • Applied researcher
  • Business intelligence analyst
  • Machine learning engineer

What makes Align different

Learn about the successful collaboration between Amazon Web Services (AWS) and Align students, and what makes it different: “We’re not just bringing in trained engineers. We’re bringing a set of folks who have a different set of perspectives, a different set of experiences. They bring a fresh understanding — a fresh set of eyes,” says Wayne Duso, former AWS vice president.

Learning outcomes

The Align MS in Data Science will equip you with technical knowledge and career preparation. As a a graduate, you will have gained proficiency in:

  • Data management: Ability to design, implement, and deploy integrated databases for managing both structured and unstructured large-scale datasets. 
  • Machine learning: Ability to select, implement, and evaluate machine learning algorithms, developing an understanding of the limitations of an algorithm for particular application domains. Understand the theoretical and mathematical foundations of both supervised and unsupervised learning techniques.
  • Analysis and visualization: Ability to communicate analyses and insights using appropriate and effective visualization techniques that considers the type of data, the application domain, and the audience.

Bridging the gap: the Align advantage

Learn about Align student LeAnn’s experience entering the program with a non-tech undergraduate degree, and how the Align program has given her a way to break into the field.

Meet our faculty

Get to know the engaged, experienced professors who are here to support you every step of the way.

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Kylie Ariel Bemis

Kylie Ariel Bemis is an assistant teaching professor at Khoury College, who develops the master’s in data science program curriculum. She is interested in statistical computing environments and methods for complex data, and active in outreach to the Native American and LGBTQ+ communities.

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Have questions?

Find answers in our master’s programs FAQ, or use the links below to learn more about Align programs.