Overview
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.
Northeastern University developed the Master of Science 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.
Career outlook
After you successfully complete your master’s in data science are qualified to seek jobs as:
- Data scientist
- Machine learning engineer
- Applications architect
- Enterprise architect
- Data architect
- Infrastructure architect
- Data engineer
- Business intelligence developer
- Data analyst
Employees with data science expertise are sought out in every industry, not just in technology. “Data scientists are highly educated—88 percent have at least a master’s degree and 46 percent have PhDs—and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist,” reports KDnuggets, a leading website on Big Data.
This program is visa-eligible at Northeastern University campuses in the United States and Canada.
Disclaimer: Visa eligibility may vary by location and individual circumstances. Applicants are responsible for verifying the most up-to-date visa regulations with the relevant visa or immigration agency before applying.
This program is visa-eligible at Northeastern University campuses in the United States and Canada.
Disclaimer: Visa eligibility may vary by location and individual circumstances. Applicants are responsible for verifying the most up-to-date visa regulations with the relevant visa or immigration agency before applying.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Algorithms
- Machine Learning
- Data Science Capstone
- Reinforcement Learning and Sequential Decision Making
- Database Management Systems
- Pattern Recognition and Computer Vision
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
-
- Starting
- Apply before , National
- Apply before , International
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Boston, United States
- San Jose, United States
- Portland, United States
Disciplines
Data Science & Big Data View 461 other Masters in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents30000 USD / year≈ 30000 USD / year - Out-of-State30000 USD / year≈ 30000 USD / year
-
Domestic
Applies to youIn-State30000 USD / year≈ 30000 USD / year
Living costs
Boston
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility