Studyportals
M.Sc. On Campus

Statistical Data Science

San Francisco State University

12 months
Duration
8918 USD/year
8918 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Statistical Data Science MSc program offered at San Francisco State University delivers 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.

Overview

The Statistical Data Science MSc program offered at San Francisco State University 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 is built on a solid foundation of statistics theory and 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.

Program Learning Outcomes

  • 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

Programme Structure

Courses include:

  • Advanced Probability Models
  • Theory and Applications of Statistical and Machine Learning
  • 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

Credits

30 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
3

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 Fee

To alway see correct tuition fees
  • International

    8918 USD/year
    Tuition Fee
    Based on the tuition of 8918 USD per year during 12 months.
  • National

    8918 USD/year
    Tuition Fee
    Based on the tuition of 8918 USD per year during 12 months.

Living costs for San Francisco

2206 - 4119 USD /month
Living costs

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

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Statistical Data Science
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San Francisco State University

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