The Master of Science in Data Science delivers a comprehensive framework for processing, modeling, analyzing, and reasoning about data.
An extensive core curriculum—designed jointly by College of Computer and Information Science and Department of Electrical and Computer Engineering faculty—enables you to develop depth in computational modeling, data collection and integration, data storage and retrieval, data processing, modeling and analytics, and visualization. Plus, electives from CCIS, the College of Engineering, or a Northeastern partner college provide an opportunity to explore key contextual areas or more complex technical applications.
- Interdisciplinary program between the College of Computer and Information Science and the Department of Electrical and Computer Engineering in the College of Engineering
- Courses are tailored toward technically or mathematically trained students
- Elective courses are available from seven colleges throughout the University, including D'Amore-McKim School of Business, the College of Arts, Media and Design, and the College of Social Sciences and Humanities
The Data Science MS degree empowers you to:
- Attain data scientist and data engineer positions in a fast-growing field
- Accelerate progress into related doctoral degrees
- Online application and fee
- Unofficial undergraduate/graduate transcripts (you can submit official transcripts from all colleges/universities attended at the time of admission)
- Statement of purpose that should include career goals and expected outcomes and benefits from the program
- Recent professional resume listing detailed position responsibilities
- Three confidential letters of recommendation
- Official GRE General Test scores
- Official TOEFL examination scores (international students only)
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.
|International student application with scholarship consideration deadline:||March 15|
|International student application final deadline:||May 1|
|Domestic student application with scholarship consideration deadline:||July 2|
|Domestic student final application deadline:||August 15|
|Scholarship consideration deadline (international and domestic students):||October 15|
|International student application deadline:||October 15|
|Domestic student application deadline:||December 7|
A grade of B or higher is required in the following courses:
Complete 4 semester hours from the following:
Data Management and Processing
Machine Learning and Data Mining
Presentation and Visualization
Complete 12 semester hours from the following:
College of Computer and Information Science
College of Engineering
College of Social Sciences and Humanities
D'Amore-McKim School of Business
College of Science
Bouve College of Health Sciences
College of Arts, Media, and Design
Note: Students that take 3-credit-hour elective courses (ie Bouve, CSSH courses) will register for an accompanying data science project course in the same semester ((DS 8982)). In order to earn this additional credit, students will be expected to work with faculty to design an additional project in line with the curricular aims of their chosen elective and the data science core learning outcomes.
Co-op makes the Northeastern graduate education richer and more meaningful. It provides Master’s students with up to twelve months of professional experience that helps them develop the knowledge, awareness, perspective, and confidence to develop rich careers. In addition to the esteemed faculty, many students enroll in the Master’s programs largely because of the successful Co-op Program.
Graduate students typically have an experiential work opportunity following their second semester. This could be a 6-8 month co-op or a 3-4 month summer internship. Those who initially experience co-op may have the opportunity to seek an internship for the following summer, or vice versa.
Student participation in experiential education provides enhanced:
- Maturity, responsibility, and self-knowledge
- Technical expertise
- Occupational information
- Job seeking and job success skills
- Networking opportunities with those in desired career paths
Northeastern’s Co-op Program is based on a unique educational strategy which recognizes that classroom learning only provides some of the skills students will need to succeed in their professional lives. Our administration, faculty and staff are dedicated to the university’s mission to “educate students for a life of fulfillment and accomplishment.” Co-op is closely integrated with our course curriculum and our advising system. The team of Graduate Co-op Faculty within the College of Computer and Information Science provides support for students in preparing for and succeeding on their co-ops.
These multiple connections make co-op at Northeastern an avenue to intellectual and personal growth: adding depth to classroom studies, providing exposure to career paths and opportunities, and developing in students a deeper understanding that leads to success in today’s world.
Our faculty represents a wide cross-section of professional practices and in fields ranging from finance to education to biomedical science to management to the U.S. military. They serve as mentors and advisors, and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.
By enrolling in Northeastern, you gain access to a network of more than 245,000 alumni and 3,200+ employer partners, including Fortune 500 companies, government agencies, and global NGOs. Our current students and faculty across strategically located regional campuses further foster that lifelong global community of learning and mentoring.
Below is a look at where our Computing & IT alumni work, the positions they hold, and the skills they bring to their organization.
Where They Work
- Dell EMC
What They Do
- Information Technology
- Business Development
- Program and Project Management
What They're Skilled At
- Software Development
Learn more about Northeastern Alumni on Linkedin.