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M.S. in Statistical Data Science

San Francisco, California

 

INTAKE: Jan & Aug

Program Overview

The Master of Science (M.S.) in Statistical Data Science program at San Francisco State University (SFSU) is a cutting-edge graduate program designed to meet the growing demand for skilled data scientists and statisticians. This program is STEM (Science, Technology, Engineering, and Mathematics) designated, highlighting its focus on science and technology-related disciplines. The M.S. in Statistical Data Science program at SFSU provides a rigorous and interdisciplinary education in data science and statistics. Its STEM designation, comprehensive curriculum, and focus on practical skills make it an excellent choice for students aspiring to excel in the dynamic field of data science. Graduates emerge with the ability to harness the power of data to inform decision-making and drive innovation in their respective industries.

CurriculumI:

  1. STEM-Designated: The M.S. in Statistical Data Science program at SFSU is STEM-designated, which means it falls under the category of Science, Technology, Engineering, and Mathematics. This designation is particularly important for international students as it may extend their Optional Practical Training (OPT) period, allowing them to gain valuable work experience in the United States.

  2. Interdisciplinary Approach: The program takes an interdisciplinary approach, drawing from mathematics, statistics, computer science, and domain-specific knowledge to prepare students for data-intensive roles in various industries. This comprehensive curriculum equips graduates with a broad skill set.

  3. Advanced Statistical Techniques: Students delve into advanced statistical techniques, learning how to design experiments, analyze complex data sets, and make data-driven decisions. The program emphasizes the application of statistical methods to real-world problems.

  4. Data Mining and Machine Learning: With the proliferation of big data, students are trained in data mining and machine learning techniques. They gain hands-on experience with tools and algorithms used to extract valuable insights from large datasets.

  5. Programming Proficiency: Proficiency in programming languages such as R and Python is essential in the field of data science. Students in this program acquire coding skills that are critical for data analysis, visualization, and building predictive models.

  6. Capstone Project: The program typically includes a capstone project where students have the opportunity to apply their knowledge and skills to solve a real-world problem. This project allows them to showcase their abilities to potential employers.

  7. Faculty Expertise: Students benefit from the expertise of faculty members who are actively engaged in research and have experience in data science and statistics. They receive mentorship and guidance throughout their academic journey.

Pollster Education

Location

San Francisco, California

Pollster Education

Score

IELTS: 7

Pollster Education

Tuition Fee

USD 15298

Entry Requirements for Postgraduate Programs

Application Fees : US$ 70

1. Academic Qualifications:

  • Applicants should have completed a bachelor's degree or its equivalent from an accredited institution.
  • The general academic requirement for admission is a minimum undergraduate GPA of 3.0 on a 4.0 scale or an equivalent of a "B" average.

2. English Language Proficiency:

  • IELTS: An overall score of 7.0 or higher with no individual band score less than 6.5.
  • TOEFL iBT: A minimum overall score of 80.
  • PTE (Pearson Test of English): A minimum score of 65.

San Francisco State University (SFSU) offers various scholarships and financial aid opportunities to support international students in their academic pursuits. These scholarships can help alleviate the cost of tuition and living expenses. 

1. SFSU Foundation Scholarships: SFSU offers a range of scholarships through its Foundation. These scholarships are available to both domestic and international students and cover various academic disciplines and criteria.

2. President's Scholarship for World Leaders: This prestigious scholarship is designed for incoming undergraduate international students who demonstrate academic excellence, leadership potential, and a commitment to making a positive impact in their communities.

3. Graduate Equity Fellowship: This fellowship supports underrepresented graduate students, including international students, by providing financial assistance and mentorship to help them succeed in their graduate programs.

4. College and Departmental Scholarships: Many SFSU colleges and departments offer scholarships specifically tailored to students within their academic programs. International students should inquire with their respective colleges about these opportunities.

5. External Scholarships: SFSU encourages international students to explore external scholarship opportunities, both in their home countries and through international organizations, to help fund their education in the United States.

6. Assistantships and Work-Study Programs: International graduate students may have opportunities to work as teaching or research assistants, which often come with tuition waivers and stipends.

7. Study Abroad Scholarships: SFSU promotes study abroad programs, and students may be eligible for scholarships to support their international experiences.

8. International Student Office Assistance: The International Student and Scholar Services (ISSS) office can provide information and guidance on scholarship opportunities available to international students.

9. Departmental Awards and Grants: Some academic departments may offer awards or grants to outstanding international students based on their academic achievements and contributions to their field of study.

10. Cultural and Exchange Scholarships: - International students participating in cultural exchange programs or representing their home countries may be eligible for scholarships related to cultural exchange and diplomacy.

It's essential for international students to research and apply for scholarships well in advance of their planned enrollment at SFSU. Each scholarship has specific eligibility criteria and application deadlines, so it's crucial to review the details and adhere to the application requirements. Additionally, maintaining good academic standing is often a requirement for scholarship renewal.

The Master of Science (M.S.) in Statistical Data Science program at San Francisco State University (SFSU) is designed to equip students with advanced skills in statistical analysis, data mining, and data-driven decision-making. Graduates of this program are well-prepared for a wide range of exciting career opportunities in various industries.  

  1. Data Scientist/Analyst: One of the most sought-after roles in today's data-driven world is that of a data scientist or data analyst. These professionals are responsible for collecting, analyzing, and interpreting large datasets to help organizations make informed decisions. Graduates of the M.S. in Statistical Data Science program possess the statistical and computational skills required for these roles. They work with data visualization tools, machine learning algorithms, and statistical models to extract valuable insights from data.

  2. Business Intelligence Analyst: Business intelligence analysts play a crucial role in helping businesses gain a competitive edge. They use data analysis to identify trends, assess market conditions, and make strategic recommendations. Graduates with expertise in statistical data science are well-suited for these roles as they can provide actionable insights and data-driven solutions to drive business growth.

  3. Data Engineer: Data engineers are responsible for building and maintaining the data infrastructure of an organization. They design databases, develop data pipelines, and ensure data availability for analysis. Graduates of this program possess strong technical skills that make them valuable assets in data engineering teams, particularly when dealing with complex datasets.

  4. Machine Learning Engineer: As machine learning continues to shape industries such as healthcare, finance, and technology, there is a growing demand for professionals who can develop and deploy machine learning models. Graduates who specialize in machine learning within the program can pursue careers as machine learning engineers, working on projects like recommendation systems, predictive analytics, and natural language processing.

  5. Quantitative Analyst (Quant): In the finance industry, quants use advanced mathematical and statistical models to assess risk and make investment decisions. Graduates with a background in statistical data science are well-equipped to work in quantitative finance, where they apply their analytical skills to develop trading strategies and financial models.

  6. Health Data Analyst: The healthcare sector relies heavily on data to improve patient care and outcomes. Health data analysts work with healthcare providers, insurance companies, and government agencies to analyze healthcare data, identify trends, and support evidence-based decision-making. Graduates with expertise in healthcare analytics have opportunities in this sector.

  7. Consultant: Many consulting firms hire data science professionals to provide expertise to a diverse range of clients. These consultants offer data-driven solutions, conduct market research, and assist organizations in solving complex problems. Graduates with an M.S. in Statistical Data Science can find rewarding careers in consulting, often with a focus on data analytics and statistical modeling.

  8. Academia and Research: For those interested in pursuing an academic or research career, this program can serve as a stepping stone to a Ph.D. program. Graduates can become research assistants, pursue doctoral studies, and contribute to advancements in statistical data science through research.

  9. Government and Nonprofit Organizations: Government agencies and nonprofit organizations increasingly rely on data analysis to inform public policy and decision-making. Graduates can work as data analysts or research scientists in these sectors, contributing to initiatives related to education, healthcare, environmental conservation, and more.

  10. Startups and Entrepreneurship: Some graduates choose to leverage their data science skills to launch their startups or join early-stage companies. Their ability to extract insights from data can be a valuable asset in identifying market opportunities and making data-driven decisions.

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