Overview

The Master of Science in Statistical Data Science at San Francisco State University aims to provide a robust educational foundation for students from various academic backgrounds, including statistics, mathematics, computer science, and engineering. This programme is tailored to prepare graduates for the dynamic data science workforce or further academic pursuits in doctoral studies. The curriculum is meticulously structured to cover essential aspects of statistics and data science, ensuring that students acquire both theoretical knowledge and practical skills.

Why Statistical Data Science at San Francisco State University?

San Francisco State University is renowned for its commitment to excellence in education and research. The Statistical Data Science programme benefits from the university's strong partnerships with industry leaders, providing students with access to valuable resources and networking opportunities. The faculty consists of experienced professionals and academics who bring real-world insights into the classroom. Additionally, the university's state-of-the-art facilities and resources enhance the learning experience, ensuring students are well-prepared for the challenges of the data science field.

Tuition Fee Breakdown

The tuition fees for the Master of Science in Statistical Data Science are as follows:

National Students: USD 9,474 per year
International Students: USD 9,474 per year
Local Students: USD 9,474 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The programme comprises a comprehensive curriculum that includes core courses and electives, designed to develop advanced competencies in statistical analysis and data science. The core courses include:

Introduction to Statistical Learning and Data Mining
Advanced Probability Models
Theory and Applications of Statistical and Machine Learning
Multivariate Statistical Methods
Computational Statistics

Students are also required to choose from a range of electives in areas such as Probability and Statistics, Mathematics, and Computer Science, allowing for specialisation based on individual interests and career goals.

Careers with Statistical Data Science

Graduates of the Master of Science in Statistical Data Science can expect to find opportunities in various sectors, including technology, healthcare, finance, and academia. Alumni have successfully secured positions in leading companies, utilising their expertise in data analysis, machine learning, and statistical modelling. The skills gained in this programme prepare students for roles such as data scientist, statistician, and quantitative analyst, among others.

Programme Structure

Courses include:

Advanced Probability Models

Multivariate Statistical Methods

Computational Statistics

Analyzing DNA Topology with Math and Computational Methods

Measure and Integration

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-08-25 00:00:00
- Apply before 2026-05-01 00:00:00
Starting 2027-01-21 00:00:00
- Apply before 2026-11-15 00:00:00

Language

English

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Credits

30 SCH

Delivered

On Campus

Campus Location

San Francisco, United States

Disciplines

Statistics Data Science & Big Data View 315 other Masters in Statistics in United States

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Academic requirements

GPA

English requirements

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IELTS

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Other requirements

General requirements

Applicants to the program must:

hold a baccalaureate degree from a regionally accredited institution, or shall have completed equivalent academic preparation as determined by the appropriate campus authority;
be in good academic standing at the last college or university attended;
have a 3.0 GPA in their earned undergraduate degree or in the last 60 semester (90 quarter) units completed, or have earned a post-baccalaureate degree;
have a baccalaureate degree in a quantitative field, including but not limited to statistics, mathematics, computer science, physics, engineering, or relevant fields. Successful applicants are expected to have completed three semesters of calculus, linear algebra, and upper-division undergraduate courses in probability and statistics with a grade of B or better.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

9870 USD / year

≈ 9870 USD / year
Out-of-State

9870 USD / year

≈ 9870 USD / year
Domestic

Applies to you

In-State

9870 USD / year

≈ 9870 USD / year

Additional Details

Out-of-State and International students must pay $444.00 PER UNIT in addition to the tuition fees

Living costs

San Francisco

United States

2206 - 4119 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Statistical Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Additional Details

Living costs

San Francisco

Financing

Funding

Scholarships Information

Available Scholarships

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