Software Engineering, Specialization in Data Science (MS)

Software Engineering, Specialization in Data Science (MS)

" Every company has big data in its future and every company will eventually be in  the data business. "
- Thomas H Davenport
Program Snapshot

The Master of Science degree in Software Engineering, Specialization in Data Science meets the ever-increasing need of many industries for data specialists to gather and analyze data. More and more, companies need skilled data scientists to help direct corporate decision making. This program’s industry-focused curriculum prepares students to work across sectors and offers them a variety of career paths in Silicon Valley and elsewhere. 

Employment forecasts for the Data Science field in the Bay Area show a projected growth of 29% by 2028 according to Hanover Research. Businesses of all kinds will be looking to hire Data Engineers, Data Analysts, Data Scientists, and Advanced Analysts, to name a few job titles. Look into how this specialization can accelerate your career while you continue to work.

 

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Program Features

  1. Outstanding Faculty
    Industry leaders and academic experts offer a wide range of industry experience.
  2. Flexible Schedule for Working Professionals
    Conveniently scheduled evening and weekend classes that fit your work schedule. 
  3. Cohort
    A cohort experience that enables a deeper and wider exchange of knowledge and networking with peers.

 

Applying to the Program:

Prospective students interested in the program are encouraged to complete a prequalification form so that a faculty advisor can review the student’s background and determine their suitability for the program.

pre-qualification

Minimum Prerequisites:

  • A Bachelor's Degree in Computer Engineering/Computer Science, Software Engineering or related field
  •  3.0 (B) or above - GPA based on the last 60 technical semester units, 90 technical units from a previous quarter, or all degree units
  • TOEFL score of 80 (IBT), 550 (Paper) or better for non-English speakers. 
  • Conditional admission may be granted for applicants with an exceptional background and GPA less than 3.0 but greater than 2.5
  • Good academic standing at the last institution attended.
  • Students must satisfy the Graduate Writing Assessment Requirement
  • No GRE/GMAT score required

For more specific information on SJSU's admission requirements, please visit the Engineering Extended Studies website.