Planstudyabroad.com - Now Apply to Universities around the world from comfort of your home with experts | World's Largest platform as University Common Application

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.

English Level Description	IELTS (1.0 -9.0)	TOEFL IBT (0-120)	TOEFL CBT (0-300)	PTE (10-90)
Expert	9	120	297-300	86-90
Very Good	8.5	115-119	280-293	83-86
Very Good	8	110-114	270-280	79-83
Good	7.5	102-109	253-267	73-79
Good	7	94-101	240-253	65-73
Competent	6.5	79-93	213-233	58-65
Competent	6	60-78	170-210	50-58
Modest	5.5	46-59	133-210	43-50
Modest	5	35-45	107-133	36-43
Limited	4	32-34	97-103	30-36
Extremely Limited	< 4	< 31	< 93	< 30

Admission Requirement / Eligibility Criteria

To meet the minimum eligibility standards for graduate study at SF State, an applicant must: (1) hold a baccalaureate degree from a regionally accredited institution, or shall have completed equivalent academic preparation as determined by appropriate campus authorities; (2) be in good academic standing at the last college or university attended; (3) have a 3.0 GPA in their earned undergraduate degree or last 60 semester (90 quarter) units completed, or have earned a post-baccalaureate degree; (4) satisfactorily meet the professional, personal, scholastic, and other standards for graduate study, including qualifying examinations, as appropriate campus authorities may prescribe. In unusual circumstances, a campus may make exceptions to these criteria.

Admission 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.?

San Francisco State University

San Francisco , CA ,United States

Master of Science in Statistical Data Science

Intakes

Application Processing Time in Days: 20

Minimum English Language Requirements

PSW Opportunity

Admission Requirement / Eligibility Criteria

Similar Programs