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San Jose State University MS in Data Analytics: Acceptance Rate, Fees & How to Get In (2026)

Gabble Team··7 min read

San Jose State University's MS in Data Analytics, offered through the Lucas College and Graduate School of Business, is a compact, 1.5-year master's degree that leans directly on SJSU's defining feature: a downtown San Jose campus sitting at the geographic heart of Silicon Valley, officially branded "Powering Silicon Valley." SJSU, founded in 1857, is California's oldest public university and one of 23 California State University (CSU) campuses, and with roughly 37,600 students it is a large, comprehensive master's-granting institution rather than a research-doctoral powerhouse. Its overall acceptance rate, around 85% for recent Fall admits, places SJSU squarely in the mass-volume tier of US universities where the large majority of international students, including most Indian, Nigerian, and Bangladeshi students, actually enroll.

This guide covers what matters for SJSU's MS in Data Analytics: acceptance realities, tuition and living costs, admission requirements, how to get in, English-test rules, and career outcomes.


Acceptance Rate

SJSU does not publish a program-specific acceptance rate for the MS in Data Analytics, and it does not publish a single graduate-wide acceptance rate at all, since admission is managed at the program level. The closest published figure is SJSU's undergraduate acceptance rate of approximately 85% (Fall 2024, per federal IPEDS data), which reflects SJSU's overall accessibility as a CSU campus but is not a program-specific or graduate-level statistic.

In practice, SJSU's most Silicon Valley-adjacent graduate programs, including Data Analytics, Computer Science, and Software Engineering, draw very large applicant pools given the direct pipeline into nearby tech employers, so treat the 85% undergraduate figure as a general accessibility signal rather than a reliable proxy for this specific program's competitiveness.


Fees and Cost of Attendance

The MS in Data Analytics carries SJSU's standard graduate tuition rate:

Cost ItemAmount (USD/year)
Tuition and fees$19,422
Living expenses$28,740
Total estimated cost of attendance$48,162

At 1.5 years in duration, the program's total cost before any funding is roughly $72,000-$73,000. This is a fraction of the cost of private research universities in the same region, which is a core part of SJSU's pitch to international applicants comparing Silicon Valley-adjacent master's programs. SJSU's application fee is $70, paid through Cal State Apply.


Admission Requirements

MS in Data Analytics applicants go through SJSU's standard graduate admissions process:

  • Cal State Apply application
  • International evaluation of undergraduate coursework, with at least 7 semester transcripts required from institutions outside the US/Canada
  • English language proficiency test scores unless exempt
  • GRE/GMAT scores only if required by the specific program (not required for MS in Data Analytics based on SJSU's general graduate policy)
  • Statement of Purpose and letters of recommendation (program-dependent)
  • Financial documents for I-20 issuance
  • Copy of passport
  • $70 application fee via Cal State Apply

SJSU's minimum graduate GPA expectation is 3.0 on a 4.0 scale. Application deadlines vary by program and are published on SJSU's graduate admissions site; because Data Analytics draws a large applicant pool from Silicon Valley-focused international students, apply well ahead of the standard Fall deadline window.


How to Get Into SJSU's MS in Data Analytics

  1. Meet the 3.0 GPA floor comfortably, not marginally. SJSU's official minimum is a 3.0/4.0, but competitive applicants to its Silicon Valley-facing programs typically present a stronger transcript, since program capacity, not a lenient floor, is what actually constrains admission in high-demand fields.

  2. Get your transcripts evaluated early. International graduate applicants need at least 7 semester transcripts from non-US/Canada institutions evaluated, which can take significant lead time; start this process well before your intended application deadline.

  3. Target the program's business-analytics framing in your Statement of Purpose. Because the MS in Data Analytics sits in the Lucas College of Business rather than the College of Engineering, applicants who connect their technical background to business decision-making and analytics use cases (rather than a pure computer-science pitch) align better with the program's positioning.

  4. Clear the graduate English floor with real margin. SJSU's graduate minimum (TOEFL 80 / IELTS 6.5) is a university floor, not a program-specific safe target; Writing is the most common weak point for graduate applicants to SJSU's project- and report-heavy master's programs.

  5. Confirm current GRE/GMAT policy directly with the program. SJSU does not apply a university-wide GRE/GMAT requirement, and this dataset found no indication Data Analytics requires it, but program-specific policy can shift between cycles, so verify before assuming it's waived.


English Proficiency Requirement (IELTS/TOEFL)

SJSU applies its standard graduate (not undergraduate) English-proficiency floor to the MS in Data Analytics, since it's a CSU graduate program rather than a freshman-entry major:

  • IELTS: minimum 6.5 overall, recommended 7.0
  • TOEFL iBT: minimum 80, recommended 96 (university floor is 80 iBT, equivalent to 4.0 on ETS's redesigned 1-6 scale phased in from January 21, 2026)
  • PTE: minimum 53
  • Duolingo: minimum 120
  • Waiver: available for applicants with three years of full-time education at a US (or equivalent English-medium) institution, or a degree from a designated English-speaking country

SJSU's graduate englishProficiency data notes that some SJSU graduate programs (Design, Psychology, Library & Information Science) require notably higher scores, up to TOEFL 100/IELTS 8.0, above the general graduate floor; the MS in Data Analytics is not listed among those elevated-requirement programs, so the standard graduate floor above applies, though applicants should always confirm current departmental policy directly. For general context on SJSU as a university, see the San Jose State University guide.


Career Outcomes

SJSU does not publish employment or salary data specific to the MS in Data Analytics, so the figures below are SJSU's best available graduate-level proxy:

  • Top recruiters (graduate, university-wide): Google, Apple, NVIDIA, Cisco, Meta, and Intel
  • SJSU's Charles W. Davidson College of Engineering and Lucas College of Business, which houses the MS in Data Analytics, are described by SJSU as its largest and most internationally sought-after colleges, both benefiting heavily from proximity to Google, Apple, NVIDIA, Cisco, Adobe, and thousands of other Silicon Valley employers within commuting distance of campus

FAQ

Does SJSU publish an acceptance rate for the MS in Data Analytics? No. SJSU does not publish a program-specific or graduate-wide acceptance rate; admission is managed at the program level. The closest published figure is SJSU's approximately 85% undergraduate acceptance rate, which is not a reliable proxy for this specific graduate program's competitiveness.

How much does SJSU's MS in Data Analytics cost? Tuition and fees are $19,422/year, with a total estimated cost of attendance of $48,162/year including living expenses. At 1.5 years, total program cost is roughly $72,000-$73,000 before any funding.

What IELTS or TOEFL score do I need for SJSU's MS in Data Analytics? SJSU's standard graduate floor applies: TOEFL iBT 80 or IELTS 6.5 overall. This program is not among the small number of SJSU graduate programs that require notably higher scores (up to TOEFL 100/IELTS 8.0), but always confirm current policy with the department.

Is the GRE or GMAT required for SJSU's MS in Data Analytics? SJSU does not apply a university-wide GRE/GMAT requirement, and requirements are set per program. This dataset found no evidence the MS in Data Analytics requires either test, but confirm current policy directly with the Lucas College of Business.

How long does SJSU's MS in Data Analytics take to complete? 1.5 years, shorter than SJSU's typical 2-year MS in Computer Science or MS in Software Engineering, which can reduce total cost and time-to-completion for applicants targeting a fast route into a Silicon Valley analytics role.

Is SJSU's MS in Data Analytics STEM-designated? SJSU notes that many of its graduate programs, especially in Computer Science, Software Engineering, and Data Analytics, are STEM-designated, which extends standard 12-month OPT by an additional 24 months for eligible graduates, for up to 36 months of total US work authorization; confirm current STEM-OPT eligibility for this specific program with SJSU before enrolling.

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