The purpose of the program is to deliver a comprehensive curriculum in the fields of statistics and data science to prepare students with diverse backgrounds (including statistics, mathematics, computer science, engineering, and other quantitative fields) for the data science workforce or a doctoral program. The program curriculum emphasizes the following aspects. First, students will be trained in-depth in modern statistical and machine learning techniques in addition to the classical statistics theory and applications. Second, they will learn and polish computational skills for various types of data sets, including large-scale data ubiquitous in business, technology, and science. Third, these two aspects of the program are built on a solid foundation of statistical theory and an understanding of mathematical principles behind techniques and algorithms; this blend is crucial for success in industrial and academic careers in the rapidly changing big data era. Finally, the program has built-in flexibility for different backgrounds and career plans through various electives.
Statistical Data Science
Statistical Data Science
About
- Apply statistical knowledge and computational skills to formulate problems, plan data collection, and analyze data to provide insight.
- Build and assess statistical and machine learning models, and employ a variety of formal inference procedures.
- Use mathematics to understand the underlying structure of common models used in statistical and machine learning.
- Prepare data for use with a variety of statistical methods and models, and recognize how the quality of data and data collection affect conclusions.
- Communicate effectively to a variety of audiences using oral, written, and visual modes.
Requirements
Entry Requirements
Eligible Degrees: Bachelor's degree.
Required Academic Documents: Degree certificate and transcript (record of subjects taken and marks earned) If your academic record is not in English, an English translation must accompany all academic documents. Academic documents must be university issued and sealed.
GPA Equivalency: a GPA of "B" or higher is required for graduate study 70 - 79
Fee Information
Tuition Fee
USD 4,203Application Fee
USD 70How to Apply
Before Applying
- Spend time reviewing your desired program's information
- Note your program deadline for application. Applications are due by 9:00 pm the day of your application deadline. Refer to the lists below to determine your application deadline.
- Review the minimum university requirements for admission for domestic or international students.
- Gather your transcripts, test scores, and additional program materials that can be uploaded online. At this time, you may use unofficial copies, however, official copies will be required for formal review.
- International students should also gather uploadable versions of their TOEFL or IELTS scores.
- Provide notice to your recommenders prior to completing your application.
Submitting Your Application
- Go to the Cal State Apply portal, select semester from dropdown menu, create an account or login with account credentials
- Upload and attach all required materials under the four quadrants
- Once you have submitted names and emails for recommendations, recommendation requests are automatically generated.
- Complete payment for application: $70. All fees are non-refundable and non-transferrable.
- Once your application and payment have been submitted, you cannot add documents.
Cal State Apply
San Francisco State Graduate program applications are submitted through Cal State Apply. Cal State Apply is a Centralized Application Service (CAS) that simplifies the process of applying to CSU programs. You will only submit one application for the university and the graduate program.
Quadrant I: Personal Information
- Complete all of the required fields in the 7 sub-sections
- Fields noted as optional may be skipped
Quadrant II: Academic History
- Colleges attended: Add all previous institution information and dates attended
- Standardized tests: Standardized tests will be reported under Program Materials, click on "I am Not Adding Any Standardized Tests"
- GPA entries: Graduate Studies will calculate your GPA from your previous institution transcripts, click on "Don't have a GPA to add"
Quadrant III: Supporting Information
- Experiences: You may opt out of all supporting materials, unless your intended program instructs you to use these fields. Select "I Am Not Adding Any Experiences" in this section of the application.
Quadrant IV: Program Materials
- Program materials is composed of 4 separate tabs. Carefully read the Home tab as the program lists all required materials and important information on this tab.
- Questions: All required questions must be answered
- Documents: All required documents must be uploaded. Attach documents that are legible. You may need to resize any scanned PDFs so that you do not exceed the MB limit for each document.
- Recommendations: Once you have submitted names and emails for recommendations, recommendation requests are automatically generated.
- Do not wait for recommendations to be returned. Continue with the application process in order to meet your deadline.
After Submitting
- Applications will be sent electronically to the program once all materials have arrived and evaluators have evaluated the minimum requirements are met.
- The program reviews applications and makes their recommendations to the Graduate Division.
- You will receive an email notifying you that a decision is ready.
- Log into your Student Center to review the acceptance checklist. If you have not already arranged for submission of official copies of transcripts, test scores and degree certificates, you will need to make these arrangements.
Statistical Data Science
San Francisco State University
United States of America,
San Francisco
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