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The Applied Statistics specialization is oriented toward practical statistical situations. It aims at teaching data analytic procedures and their applications to statistical problems. In keeping with this goal, students are required to become skilled at statistical computing and participate actively in the consulting projects that arise in the Statistical Consulting Laboratory. This degree will prepare students for careers in government, industry, and quantitative research in other scientific disciplines.
- Design and Analysis of Experiments
- Advanced Statistical Methods
- Seminar and Projects in Statistical Consulting
All students are expected to take the Applied Statistics Qualifying Examination, which consists of an in-class examination and a Data Analysis Report. All students seeking the MA in Statistics with the Applied Statistics Specialization need to pass the Applied Statistics Qualifying Examination with at least a “MA Level” pass. Each student has two attempts to pass the exam.
Continuation to the Ph.D. is subject to the student’s academic performance being deemed excellent by all standards that the department uses to assess degree progress such as: exams, grades, coursework, and timely progress toward the degree. Students must demonstrate an ability to work independently and to make innovative and original contributions to the critical literature of the field.
Requirements
- Received a bachelor's degree or its equivalent from an accredited university prior to the quarter for which the applicant seeks admission
- At least a B average in undergraduate coursework
- All applications require a non-refundable application fee of $105 for domestic applicants, and $125 for international applicants.
- Statement of Purpose, Personal Achievements/Contributions, and Resume or CV (submitted in the online application)
- Three Letters of Recommendation (submitted online). In exceptional circumstances, this requirement may be waived with the approval of the Actuarial Program Committee.
- GRE General test scores.
- Transcripts from all post-secondary institutions (submitted online)
- TOEFL Internet Based Test (IBT): 80 , TOEFL Computer Based Test (PBT): 550
- IELTS Minimum Band Score: 7
The University of California offers a comprehensive range of financing options for students enrolled in the Applied Statistics program. Undergraduate students can apply for federal and state financial aid programs, including the Free Application for Federal Student Aid (FAFSA), which provides grants, loans, and work-study opportunities based on financial need. The university also offers scholarships specific to the college and department, such as department scholarships for outstanding students, as well as merit-based awards that recognize academic achievement and research potential. Graduate students in the program can access various assistantship opportunities, including Teaching Assistantships (TAs) and Research Assistantships (RAs), which provide stipends and tuition waivers in exchange for teaching duties or research support. Additionally, there are fellowships and grants available through university-sponsored programs and external organizations, aimed at supporting students pursuing advanced studies in Applied Statistics. Many students also benefit from external scholarship programs, including those offered by industry organizations, government agencies, and private foundations. The university's financial services provide counseling and advising to help students navigate application processes for these funding sources, as well as managing repayment plans for student loans. Students are encouraged to explore all available options early in their academic careers to maximize financial support opportunities. The university also promotes work-study programs that enable students to earn income on campus while gaining valuable professional experience. International students may have access to some of these aid options but are generally less eligible for federal aid; scholarships and university-specific funding are often the primary financial support sources for international students enrolled in the Applied Statistics program. Overall, the University of California strives to ensure that financial barriers are minimized for qualified students, offering a diverse array of funding opportunities tailored to meet diverse needs and backgrounds. Access to these programs requires careful planning, timely application submissions, and engagement with university financial aid offices, which provide detailed guidance and support throughout the process. Through these comprehensive measures, students enrolled in Applied Statistics can focus on their academic and research pursuits with reduced financial stress, fostering an environment conducive to advanced learning and professional development in the field of statistics.
The Applied Statistics program at the University of California is designed to equip students with a comprehensive understanding of statistical methods and their applications in various real-world contexts. The curriculum emphasizes both theoretical foundations and practical skills, preparing graduates to analyze complex data sets and interpret statistical results effectively. Students enrolled in this program engage with a diverse range of coursework that covers probability theory, statistical inference, regression analysis, experimental design, and computational statistics. The program also offers specialized electives in areas such as biostatistics, data science, and machine learning, allowing students to tailor their education to specific career interests.
Through hands-on training, students gain proficiency in statistical software and programming languages such as R, Python, and SAS, which are vital tools in modern data analysis. The program encourages collaboration with faculty on research projects, fostering critical thinking and problem-solving abilities. Additionally, students are exposed to the ethical considerations and societal impacts of statistical work, emphasizing responsible data handling and analysis.
The Applied Statistics program at UC prepares its graduates for diverse career paths, including data analyst, statistician, data scientist, and research analyst roles across industries such as healthcare, finance, government, technology, and academia. Many students also pursue graduate studies in statistics, data science, or related fields. The university leverages its strong connections with industry partners and alumni to provide internship and employment opportunities, ensuring students gain practical experience before entering the workforce.
Overall, the program combines rigorous academic training with practical experience, fostering a robust understanding of applied statistical techniques and their relevance to solving real-world problems. Graduates leave UC equipped with the analytical skills, technical expertise, and ethical awareness needed to succeed in the rapidly evolving data-driven landscape.