Eligibility Requirements for San Francisco State MSc in Statistical Data Science


  • Bachelor’s degree in a quantitative field (e.g., statistics, math, computer science, engineering, physics) from a regionally accredited institution

  • Strong preparation in calculus (3 semesters), linear algebra, and upper-division probability/statistics (grade B or better)

  • Minimum GPA of 3.0 in overall undergraduate degree or last 60 semester units; conditional admission possible if prerequisites are incomplete

  • GRE is generally required with a recent valid score

  • Conditional admission may allow waiver if program prerequisites are unmet

  • For non-native English speakers, evidence of proficiency with:

    • TOEFL iBT ≥ 80 (550 PBT)


    IELTS ≥ 7.0


    Alternative: PTE ≥ 59 or Duolingo ≥120



  • Additional Application Material: 


    • -Transcripts from all institutions
    -Statement of Purpose
    -2 Letters of Recommendation
    -CV/Resume
    Sometimes a writing sample or proof of work experience

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    3/4

    Bachelor's GPA Requirement

    3 years + WES degree

    UG Requirement

    Test Scores Requirement

    ExamRequirement
    6.5
    88
    59

    San Francisco State MSc in Statistical Data Science Class Profile

    The 2024–2025 MS in Data Science cohort at the University of San Francisco includes 93 students from diverse academic and geographic backgrounds. With an average age of 25 (ranging from 21 to 50), the class brings a rich blend of experience and fresh perspectives.


    Notably, 41% are international, representing over a dozen countries, highlighting the program’s global appeal similar to how San Francisco State University emphasizes cultural diversity in its cohorts. About 15% hold an advanced degree, and the average undergraduate GPA sits at 3.43, reflecting solid academic preparation.

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    25

    Avg. Student Age

    3

    Avg. Bachelors GPA / Percentage

    13

    Nationalities

    Class Profile URL: https://www.usfca.edu/arts-sciences/programs/graduate/data-science/class-profile

    San Francisco State MSc in Statistical Data Science Program Description

    The Master of Science in Statistical Data Science is a 30-unit, two-year, on-campus graduate program offered by SFSU’s Mathematics Department.


    Students begin with a foundational core (15 units) featuring rigorous courses such as:



  • Introduction to Statistical Learning & Data Mining

  • Advanced Probability Models

  • Theory & Applications of Statistical and Machine Learning

  • Multivariate Statistical Methods

  • Computational Statistics 


    • The remaining 12 units are electives—students can choose from advanced probability, mathematics, or computer science electives—allowing the program to adapt flexibly to diverse educational and career goals

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    Program URL:https://www.usfca.edu/arts-sciences/programs/graduate/data-science

    San Francisco State MSc in Statistical Data Science Program Curriculum

    Program Curriculum URL:https://bulletin.sfsu.edu/colleges/science-engineering/mathematics/ms-statistical-data/

    The complete course structure and degree requirements are available on the university bulletin:


    Master of Science in Statistical Data Science – 30 Units
    This includes:



  • Core courses (15 units):

  • Statistical Learning & Data Mining (MATH 448)

  • Advanced Probability Models (MATH 742)

  • Theory & Applications of Machine Learning (MATH 748)

  • Multivariate Statistical Methods (MATH 760)

  • Computational Statistics (MATH 761)

  • Culminating experience (3 units): thesis, project, or internship

  • Guided electives (12 units) selected with advisor approval

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    Core Courses

    The complete course structure and degree requirements are available on the university bulletin:

    Master of Science in Statistical Data Science – 30 Units
    This includes:

    • Core courses (15 units):
    • Statistical Learning & Data Mining (MATH 448)
    • Advanced Probability Models (MATH 742)
    • Theory & Applications of Machine Learning (MATH 748)
    • Multivariate Statistical Methods (MATH 760)
    • Computational Statistics (MATH 761)
    • Culminating experience (3 units): thesis, project, or internship
    • Guided electives (12 units) selected with advisor approval

    San Francisco State MSc in Statistical Data Science Fee Structure

    Master’s in Statistical Data Science at San Francisco State University offers a well-defined two-year, 30 unit curriculum. Here’s a concise yet comprehensive fee breakdown:



  • Tuition (per year): $16,530 per year (×2 years = $33,060) 

  • Application Fee: $70 one-time

  • SEVIS Fee (for international students): $350 one-time

  • Total Tuition over program duration: $33,060

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    San Francisco State MSc in Statistical Data Science Deadlines

    San Francisco State MSc in Statistical Data Science Admission Process


    • Bachelor’s degree in a quantitative field from an accredited institution

    • Unofficial transcripts, Statement of Purpose, 2 Recommendation Letters, CV/resume, English proficiency test scores, and — if required — GRE 

    • Use the Cal State Apply portal to apply to all CSU campuses, including SF State

    • A single application costs $70 per campus

    • Upload all necessary documents directly into the portal 

    •  Application opens October 1, priority deadline May 1

    • Spring Intake: Application opens August 1, deadline November 15

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        RoundDeadline
        Round 1
        01st October '25
        Round 2
        01st August '25

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      San Francisco State MSc in Statistical Data Science Employment

      147,500

      Average Starting Salary

      Letter of Recommendation for San Francisco State MSc in Statistical Data Science

      The Letter(s) of Recommendation you submit should reflect not just your quantitative skills, but also your readiness for graduate-level study in data science.



    • Two letters required, ideally from: Professors in math, statistics, or data science who’ve taught you


      •  

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      Statement of Purpose for San Francisco State MSc in Statistical Data Science

      San Francisco State University requires applicants to submit a Personal Statement of Purpose outlining their motivation, academic background, and goals. Here are the official requirements from the Mathematics Department:



    • Explain why you want to pursue the MSc in Statistical Data Science at SF State—highlight your interest, goals, and fit within the program 

    • Demonstrate how your quantitative background (e.g., statistics, math, CS) and academic or professional experience prepare you for graduate-level data science .

    • Clearly outline your career objectives, and how the program will help you achieve them—be specific about skills, projects, or pathways you're aiming for .

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      San Francisco State MSc in Statistical Data Science Scholarships available for International Students

      1. International Student / Associated Students Scholarship



    •  Amount: $1,500

    • Eligibility: International graduate students in at least 4 units per semester, with a minimum 2.5 GPA and community involvement

    • Deadline: Early February each year (e.g., by 02/07/2025)


      • 2. Math Matters Scholarship



    • Amount: Up to $1,000

    • Eligibility:

    • Enrolled in MS Statistical Data Science

    • Completed ≥3 units per semester

    • Demonstrates financial need

    • Has 3.0+ GPA

    • Open to students of any citizenship (including international)


      • 3. Department of Mathematics Scholarships
      Some departmental awards—especially those based on academic performance or quantitative background—are open to both domestic and international graduate students, including:



    • Bridge Scholarship – $1,000

    • Chang, Martins, Milowski, Walters, Meredith, Sheehan, Halmos Scholarships – $1,000 to $1,500 each

    • Eligibility: Enrolled in the Department of Mathematics graduate program (MS in Statistical Data Science included), with no citizenship requirement

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      What makes San Francisco State MSc in Statistical Data Science unique?


    • Strong mix of statistics and machine learning taught through hands-on, practical courses

    • Flexible electives let students focus on areas like math, computer science, or analytics

    • Open to students from any quantitative background like stats, CS, or engineering

    • Great location in San Francisco, close to tech companies and internship opportunities

    • Career-focused program with options for thesis, internship, or final exam to graduate

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      San Francisco State MSc in Statistical Data Science Contact Information

      Whom should I contact in case of any doubts?


      • Dr. Mohammad Kafai – Graduate Coordinator (Statistical Data Science)

      • Dr. Alexandra Piryatinska – Graduate Coordinator (Statistical Data Science)

      • Email: statmath@sfsu.edu
        Phone: (415) 338‑2251

      • Thornton Hall 937
        Address: 1600 Holloway Avenue, San Francisco, CA 94132

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        Conclusion: Should you apply to San Francisco State MSc in Statistical Data Science?

        Yes, if you're looking for a flexible, affordable, and career-focused program in a globally connected city, the MSc in Statistical Data Science at San Francisco State is a smart choice. It blends rigorous academic training with practical data science skills and gives you access to the thriving tech ecosystem of San Francisco.


        Whether you're aiming for roles in tech, finance, research, or further studies, this program offers strong value for international students with its scholarship options, small class sizes, and supportive faculty.


        If you meet the eligibility and want to build a career in data science, this is definitely a program worth applying to.

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