Align MS in Data Science
Today, all companies are driven by data and the demand for expertise in data science has never been higher. The Align MS in Data Science will teach you the skills to harness the power of data, even without a tech background. Study with a supportive cohort of your peers as you spend the first two semesters building a solid CS foundation. Then, you’ll dive deep into the world of data, learning to use it to solve some of the world’s most complex organizational problems.
Program highlights
Semester hours
44 total semester hours required
Start term
Fall, Spring (spring varies depending on location)
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 graduates find success in a variety of companies such as Walmart, Meta, Google, CVS Health, Dell, Fidelity Investments, Microsoft, McKinsey & Company, Tesla, ACLU, Massachusetts General Hospital, and more in careers that include:
- Data scientist
- Machine learning engineer
- Software engineer
- Data engineer
- AI consultant
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.
How the Align program works
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.
Campus locations
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Portland
The collaborative nature of Northeastern’s Roux Institute in Portland connects students with corporate and governmental power players across the Northeast, and beyond.
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Silicon Valley
Located in the heart of the tech revolution (and where it began), the San Jose campus offers students the opportunities to advance the CS field in a program known for industry connections and diverse work opportunities.
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Boston
Located in the heart of Boston, Northeastern’s oldest campus is home to a vibrant community of students, researchers, and faculty working across disciplines to build a better world through CS.
Applications and admissions
How to apply
Our Align Apply page has everything you need to know about applying to the Align MS in Computer Science program at Khoury college, including:
- Align admissions requirements
- Timelines and deadlines
- Resources and contact information
Degree costs
Visit Student Financial Services for current tuition and fee information, and to find tools and calculators to help you estimate the cost of your degree, based on 44 required semester hours.
Financial support
Pursuing a master’s degree is a significant investment in your future. Northeastern University and Khoury College of Computer Sciences are here to help support you in any way we can. From financial aid to scholarship opportunities to co-op placements and teaching assistantships, there are multiple options to help fund your degree as you work toward your goals.
Deadlines
Domestic
Fall 2025 semester: August 1
Spring 2026 semester: December 1
International
Fall 2025 semester: May 1
Spring 2026 semester: October 1
Meet our faculty
Get to know the engaged, experienced professors who are here to support you every step of the way.
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.
Related events
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Break Into Tech: Boston
Boston | 6:00 pm EDT | Jul 15, 2025
July 15 -
Break Into Tech: Virtual Tech Talk
7:00 pm EDT | Jul 22, 2025
July 22 -
Khoury in California Webinar
12:00 pm EDT | Jul 31, 2025
July 31
Have questions?
Find answers in our master’s programs FAQ, or complete this form to learn more about the Align MS in Data Science program. One of our enrollment counselors will contact you soon.