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Course Description

Collecting, processing, analyzing and acting on data with speed, scale, and complexity. Techniques and infrastructures developed for big data including parallel and distributed database systems, map-reduce infrastructures, scalable platforms for complex data types, stream processing systems, and cloud-based computing. Course blends theory, algorithms and practical (hands on) work.

Basic Enrollment Requirements: 

Academic Year (Fall/Spring): Unofficial Transcript – Bachelor’s Degree or progress towards a Bachelor’s Degree + 3.0 GPA.

Summer: None.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)

Remission Eligible: Yes; first day of term; all university policies apply.

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Enroll Now - Select a section
Section Title
Big Data
Type
Lecture
Days
W, M
Time
10:30AM to 11:45AM
Dates
Jan 17, 2024 to Apr 29, 2024
Schedule and Location
View Details
Contact Hours
31.2
Location
  • Medford/Somerville Campus
Instruction Method
In-Person  
Course Fee(s)
Graduate Credit credit (4 units) $6,920.00 Click here to get more information
Undergraduate Credit credit (4 units) $4,040.00 Click here to get more information
Available for Credit
4 credit(s)
Section Notes
This is an in-person course that follows the published schedule of course meetings and requires attendance at all sessions. Tufts courses are designed to provide high-quality and interactive courses to Tufts and visiting students. For more information about course policies and expectations, please visit https://universitycollege.tufts.edu/policies#University-Policies
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