San Francisco,
CA,
United States
Type
Public
Degrees offered
Bachelor's Degree
MSc in Statistical Data Science in San Francisco United States | San Francisco State University
San Francisco State University
|
San Francisco United States
Visit institution website
for more information
Qualification
Masters Degree
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD
15,168
Attendance
Full-time
Full-time Duration
18 months
This program aims to provide an extensive curriculum in statistics and data science, equipping students from various quantitative disciplines (such as statistics, mathematics, computer science, engineering, and related fields) for careers in data science or advanced doctoral studies. The curriculum focuses on several key areas. First, it offers rigorous training in both contemporary statistical/machine learning methods and traditional statistical theory and applications. Second, students will develop strong computational skills for handling diverse datasets, including the large-scale data prevalent in business, technology, and scientific fields. Third, these components are grounded in robust statistical theory and the mathematical foundations underlying analytical techniques, ensuring graduates are well-prepared for the evolving demands of academia and industry in the big data landscape. Additionally, the program offers customizable elective options to accommodate different academic backgrounds and professional goals.
Destination of Study
Subjects of Study
Language Requirements
English
IELTS 7.0
Qualification 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. However, an applicant who is deficient in probability theory and/or statistics may be admitted conditionally on passing MATH 440 Probability and Statistics I and/or MATH 441/741 Probability and Statistics II satisfactorily during the first calendar year of study,
submit a TOEFL score (minimum 550/80) or IELTS score (minimum 7.0) obtained within the past two years if their undergraduate degree is from a country where the official language is not English.
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. However, an applicant who is deficient in probability theory and/or statistics may be admitted conditionally on passing MATH 440 Probability and Statistics I and/or MATH 441/741 Probability and Statistics II satisfactorily during the first calendar year of study,
submit a TOEFL score (minimum 550/80) or IELTS score (minimum 7.0) obtained within the past two years if their undergraduate degree is from a country where the official language is not English.
Tuition
USD
15,168