M.S. in Statistical Data Science from San Francisco State University 2025 Entry: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships.

San Francisco, CaliforniaLocation
UniversitySchool type
Estd1899established year
29758enrollment
Public
Partner [4 Courses]
7.6/10

Master of Science [M.S] (Statistical Data Science)

2 years
Full Time
On Campus

$16,530 /Yr

8 Students Applied
2 Students Admitted

Important Alert

  • Application Deadline For Spring 2026 Intake - Nov 15, 2025

Tuition Fees

Year1st Year Fees
Tuition Fees$16530

Other Expenses

HeadAvg Cost Per Year
Housing$18270
Food$5620

Per Credit Tuition Fee: $1102

Previous Year Tuition Fees

Year1st Year Fees
2022$11880

Important Dates

EventApplication Date
Application Deadline For Spring 2026 Intake Nov 15, 2025

M.S. in Statistical Data Science from San Francisco State University – Overview

The M.S. in Statistical Data Science from San Francisco State University is a rigorous and adaptable graduate program, typically completed in 2 years, designed to prepare students with advanced statistical and computational skills essential for data-driven decision making across industries. Offered through the College of Science & Engineeringunder the Department of Mathematics and Statistics, the curriculum integrates a solid foundation of core statistical theory and methods with specialized electives in probability, mathematics, and computer science, allowing students to customize their learning according to their career interests. Core courses cover essential topics such as statistical learning, advanced probability models, multivariate analysis, and computational statistics, while electives offer in-depth study in areas like time series analysis, machine learning, optimization, and artificial intelligence. The program culminates in a practical experience, allowing students to choose between an internship, research project, or thesis to demonstrate their expertise. Admission requires a bachelor’s degree in a quantitative field with strong mathematical preparation and a minimum GPA of 3.0; conditional admission may be granted if prerequisite statistics courses are incomplete. International applicants must provide proof of English proficiency through exams such as TOEFL or IELTS. Available scholarships for international students, such as the International Student/Associated Students Scholarship, SFSU Department of Mathematics Awards, and other external funding options, are also available.

M.S. in Statistical Data Science from San Francisco State University – Fees

The annual cost of pursuing the M.S. in Statistical Data Science from San Francisco State University is approximately $47367. This includes around $16530 in tuition fees and about $30837 in estimated living expenses, which cover housing, food, health insurance, books and supplies, personal expenses, and transportation.

M.S. in Statistical Data Science from San Francisco State University – Dates

Applications to the M.S. in Statistical Data Science from San Francisco State University are accepted for Fall & Spring Intakes Only. The deadline for Fall & Spring 2025 Intake has passed. The Upcoming Application Deadline for Spring 2026 Intake is 15 November 2025.

M.S. in Statistical Data Science from San Francisco State University – Modules

The M.S. in Statistical Data Science follows the following module structure:

 Years

 Core Modules

 Optional Modules

Year 1

  • Introduction to Statistical Learning and Data Mining

  • Advanced Probability Models

  • Theory and Applications of Statistical and Machine Learning

  • Multivariate Statistical Methods

  • Computational Statistics

 NA
 Year 2 

Students must complete one of the following:

  • Data Science Internship

  • Research Project

  • Master's Thesis

  • Complete the 12 Units from the following Courses:

    • Probability and Statistics I

    • Probability Models

    • Introduction to Time Series Analysis

    • Design and Analysis of Experiments

    • Categorical Data Analysis

    • Introduction to Linear Models

    • Probability and Statistics II

    • Independent Study (variable units)

    • Numerical Analysis

    • Applied and Computational Linear Algebra

    • Mathematics of Optimization

    • Mathematical Modeling

    • Introduction to Wavelets and Frames with Applications

    • Measure and Integration

    • Advanced Linear Algebra

    • Fourier Analysis and Applications

    • Partial Differential Equations

    • Biomedical Imaging and Analysis

    • Artificial Intelligence

    • Data Mining

    • Pattern Analysis and Machine Intelligence

    • Topics in Big Data Analysis


Eligibility & Entry Requirement

Requirement Type

 Details

School Name

 College of Science & Engineering

Academic Qualification

  • Degree Requirement: Applicants must have a Bachelor's degree from a recognized, accredited university or equivalent.
  • Field of Study: Degree in a quantitative discipline such as Statistics, Math, CS, Physics, Engineering, etc.
  • GPA Requirement: Minimum GPA of 3.0 in overall undergraduate degree or in last 60 semester units.
  • Prerequisite Coursework: Applicants are expected to have completed the following:
    • Three semesters of calculus.
    • Linear algebra.
    • Upper-division undergraduate courses in probability and statistics with a grade of B or better.
  • Conditional Admission: Allowed if lacking in probability/statistics; must complete the following in the first year, such as:
    • MATH 440: Probability and Statistics I.
    • MATH 441/741: Probability and Statistics II.
 GMAT Waiver Policy
  • GPA 3.0 or higher + 2+ years work experience: Eligible for GMAT waiver. OR
  • GPA below 3.0: Usually need GMAT, but waiver possible with strong records + 2+ years relevant experience. OR
  • GPA 3.0 but less than 2 years of experience: Must submit GMAT score of at least 400.

English Language Requirement

  • TOEFL: Minimum score of 550 (paper-based).
  • TOEFL: Minimum score of 80 (internet-based).
  • IELTS: Minimum overall band score of 7.0.

Documents Required

  • Academic Transcripts and Certificates.
  • Proof of English Language Proficiency.
  • Statement of Purpose (SOP).
  • 2-Letter of Recommendation (LOR).
  • Proof of Work Experience (If Have).
  • Copy of Passport.
  • Curriculum Vitae (CV).

Application Link

Application Link

Application Fee $70
 Course Credits  30 Credits

Scores Required

80 / 120

Avg. Score in

TOEFL

7.0 / 9

Avg. Score in

IELTS

3 / 4

Minimum gpa

GPA

70

Application Fees

30

ECTS Credits

TOP Scholarships

Scholarship nameAward amountEligibility
International Student/Associated Students Scholarship$1,500Minimum 2.5 GPA, enrolled at least half-time (6 units), must not be employed by Associated Students during award period.
SFSU Department of Mathematics AwardsVariesVaries by year; based on academic performance, departmental involvement. Contact department for current opportunities.



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Scholarship Grants & Financial Aids

NameScholarship Per StudentLevel of StudyType
AAUW International FellowshipsScholarship per student$ 50,000/Yr$50,000Level Of StudyDoctorateTypeMerit-Based
Shardashish Interschool fellowshipScholarship per student$ 50,000/Yr$50,000Level Of StudyMasterTypeCollege-Specific
University of PhoenixScholarship per studentVariable AmountLevel Of StudyBachelorTypeMerit-Based
Novus Biological Scholarship ProgramScholarship per student$ 1,500/Yr$1,500Level Of StudyAssociateTypeMerit-Based
Forktip Women’s- Innovation ScholarshipScholarship per studentVariable AmountLevel Of StudyBachelorTypeCollege-Specific
Gyandhan ScholarshipScholarship per student$ 1,207/Yr$1,207Level Of StudyMasterTypeMerit-Based

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