Data Science
Master's
Northeastern in Silicon Valley's Master of Science in Data Science program provides a comprehensive foundation in the skills and theory of data science and the tools and experience to translate data into clear, strategic insights.
Program overview
Translate data into insights
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever, the world needs people who can understand this untapped resource and draw conclusions so vital to future success.
We developed Northeastern University in Silicon Valley’s Master’s in Data Science with that in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level. That interdisciplinary aspect means you’ll receive robust, comprehensive exposure to the world of data science. Our elective courses will help you create a curriculum that’s unique to your own interests.
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever, the world needs people who can understand this untapped resource and draw conclusions so vital to future success.
We developed Northeastern University in Silicon Valley’s Master’s in Data Science with that in mind. As an interdisciplinary program between the Khoury College of Computer Sciences and the College of Engineering, you’ll develop comprehensive expertise in mathematics, computing, and data engineering so you can take your data career to the next level. That interdisciplinary aspect means you’ll receive robust, comprehensive exposure to the world of data science. Our elective courses will help you create a curriculum that’s unique to your own interests.
- Our program meets F-1 international student status requirements.
- This is an interdisciplinary program between Khoury College of Computer Sciences and the Department of Electrical and Computer Engineering in the College of Engineering.
- Courses are tailored toward technically or mathematically trained students.
- Elective courses allow you to explore what interests you.
Northeastern’s MS in Data Science graduates have found success in a wide range of industries and positions:
- Data science analyst at MFS
- Fixed income quantitative researcher at State Street Corporation
- Data analyst at TJX
- Data analyst at Stop & Shop
- OCR imaging/natural language processing engineer at iQuartic
- Machine learning/OPS engineer at New York Life
Admissions
Apply to the program
A graduate degree or certificate from Northeastern can accelerate your career through rigorous academic coursework and real-world professional experience in your area of interest. Apply to take your career to the next level.
A graduate degree or certificate from Northeastern can accelerate your career through rigorous academic coursework and real-world professional experience in your area of interest. Apply to take your career to the next level.
Applicants must submit the online application and all required admission materials no later than the stated deadlines to be considered for admission. Admissions decisions are made on a rolling basis.
Fall Term
| Deadline | |
| International students: | May 1 |
| Domestic students: | August 30 |
Online application and fee
Transcripts from all institutions attended
Statement of purpose that should include career goals and expected outcomes and benefits from the program
Recent professional resumé listing detailed position responsibilities
Three letters of recommendation
GPA minimums: 3.0 on a 4.0 scale, 8.0 on a 10.0 scale, or 80 on a 100 scale
Recommended TOEFL (90 minimum) or IELTS (6.5 minimum) examination scores (international students only)
GRE Optional
Program objectives
Prepare for success
Our program allows you to develop strong programming and analysis skills to explore data, produce summary statistics, perform statistical analyses; using standard data mining and machine-learning models for effective analysis.
Gain the ability to effectively utilize integrated databases for managing large-scale datasets, effectively apply an appropriate machine-learning model to a problem, and then communicate those insights.
You’ll learn to work with both structure and unstructured data. The program provides you with the knowledge to manage, process, analyze, and visualize data at scale.
Connect with us
Want more information?
We’re here to answer your questions about this program, the application process, and more. Complete the form below to receive additional program details and speak with a member of our enrollment team.
Break Into The Industry
Break into data science
You don’t need a background in data science to have a future in it. A master’s designed for non-majors, the Align program can help you launch your new data career between two and three years.
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Cost of attendance
Tuition and financial aid
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$60,000Tuition in USD
Estimated Total Tuition
This is an estimate based on the tuition rates for Academic Year 2025-2026 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. Select programs at select campuses offer additional scholarships of up to 25% off the listed price for domestic students studying on campus. For more detailed information, please visit Student Financial Services.
For students interested in pursuing financial assistance or educational loans, additional educational costs, known as Cost of Attendance (COA) components, can be included in the calculation of aid and loan eligibility. Components may include food, housing, books, course materials, supplies, equipment, transportation, personal expenses, and the cost of obtaining a first professional licensure. You can find comprehensive details on the Student Financial Services website. Please keep in mind that COA can vary significantly depending on academic program, enrollment intensity, and individual circumstances.
There are many ways to pay for your education, including scholarships, financial aid, and more. Connect with a financial counselor to learn about your options and make your dream a reality.
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