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Online Masters scholarships in Data Science
Varies
Amount
$5,000
Varies
No Information Available
No Information Available
DESCRIPTION
Students enrolled in the Tufts online MSDS program may benefit from several resources to fund their degree. These options include:
Alumni Scholarships for Online MSDS Program:
Alumni who return to Tufts School of Engineering can earn their MS degree at a reduced tuition rate. Alumni are eligible for Double Jumbo Scholarships with benefits that include:
- 20 percent per credit discount on tuition
- Waived graduate application fees
- Only two required letters of recommendation
Scholarships for Students from Bridge Universities:
Tufts School of Engineering offers undergraduate STEM majors and alums from select institutions (Lafayette College, Olin College, Smith College, Union College, and Wellesley College) an accelerated path to a master’s degree.
- Lower tuition cost: You will receive a 20 percent per credit tuition discount.
- Streamlined application process:
- No application fee
- Only two letters of recommendation are required
- GRE scores are not required
Yellow Ribbon:
The current Yellow Ribbon Scholarship award at Tufts is $5,000 annually for veterans enrolled as students in the School of Engineering.
Merit-based Scholarships:
Tufts School of Engineering offers a limited number of merit-based scholarships to online students each semester. Applicants are reviewed for a scholarship and program admission at the same time. A separate scholarship application is not required. The scholarship covers 10% of the tuition for each semester of a candidate’s program. The scholarship cannot be transferred to a future start term, and cannot be combined with any other Tufts University scholarship (except Yellow Ribbon).
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Other
REQUIREMENTS
No Information Available
PROGRAM INFORMATION
Master/Graduate
Tufts University
Data Science
Computer Science, Information Systems and Information Technology
OTHER INFORMATION
Non-Binary
Other
Other
Not Applicable
No Information Available
No Information Available
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