Applied Statistics

The Applied Statistics program at the University of California is designed to equip students with the essential skills and knowledge necessary to analyze, interpret, and model complex data across a wide range of fields. This comprehensive curriculum combines rigorous training in statistical theory with practical applications, ensuring that graduates are prepared to meet the demands of data-driven decision-making environments. Throughout the program, students will engage in coursework covering fundamental concepts such as probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis, alongside specialized topics like machine learning, data mining, and statistical computing.

The program emphasizes hands-on experience through extensive coursework in programming languages such as R, Python, and SAS, enabling students to implement analytical techniques effectively. Students will also participate in real-world projects, internships, and collaborations with industry partners, facilitating experiential learning and professional development. The curriculum is designed to foster critical thinking, problem-solving capabilities, and the ability to communicate statistical findings clearly to non-technical stakeholders.

Graduates of the Applied Statistics program will be well-prepared for careers in diverse sectors including healthcare, finance, technology, government, and academia. They will possess a strong foundation in data collection, management, and visualization methods, as well as the capacity to develop predictive models and statistical analyses that inform strategic decisions. Moreover, the program encourages a multidisciplinary approach, allowing students to apply statistical techniques to areas such as biomedical research, social sciences, marketing, and engineering. With access to state-of-the-art facilities and a faculty renowned for their research and industry expertise, students will be supported throughout their academic journey.

Upon completion of the program, students will have the necessary credentials to pursue advanced degrees or to enter the workforce as data analysts, statisticians, data scientists, or consultants. The Applied Statistics program at the University of California aims to develop highly skilled professionals who can leverage data to solve complex problems, drive innovation, and contribute to the advancement of knowledge in their respective fields. Whether entering the job market or continuing their education, graduates will be equipped with the versatile, practical skill set required to excel in the evolving landscape of data science and statistical analysis.

• STAT 201A Theory of Probability and Statistics (4) 
• STAT 201B Theory of Probability and Statistics (4) 
• STAT 201C Theory of Probability and Statistics (4) 
• STAT 202B Regression, ANOVA, and Design (4) W
• STAT 202C Regression, ANOVA, and Design (4) S
• STAT 203A Bayesian Statistics I (4)
• STAT 204A Advanced Design and Analysis of Experiments (4)
• STAT 204B Advanced Design and Analysis of Experiments (4) 
• STAT 205 Discrete Data Analysis (4) 
• STAT 206 Statistical Computing (4) F 
• STAT 206V Statistical Computing (4) F
• STAT 207 Advanced Statistical Computing (4) 
• STAT 208 Statistical Data Mining Methods (4) F 
• STAT 210A Advanced Theory of Probability and Statistics (4) 
• STAT 210B Advanced Theory of Probability and Statistics (4)
• STAT 215 Stochastic Processes (4) 
• STAT 216A Time Series Analysis (4) 
• STAT 216B Time Series Analysis (4)
• STAT 220A Multivariate Analysis (4) 
• STAT 220B Multivariate Analysis (4) 
• STAT 230 Sampling Theory (4) 
• STAT 231A Statistics for Biological Sciences (4)
• STAT 231B Statistics for Biological Sciences (4) 
• STAT 240 Nonparametric Methods (4) 
• STAT 251 Statistics Colloquium (1) 
• STAT 255 (E-Z) Seminar on Topics in Applied Statistics (4)
• STAT 288 Literature Seminar (1) 
• STAT 290 Directed Studies (1-6) 
• STAT 291 Individual Studies in Coordinated Areas (1-6) 
• STAT 292 Concurrent Analytical Studies (1-4) 
• STAT 293 Methods in Applied Statistics (4)
• STAT 297 Directed Research (1-6)
• STAT 299 Research for Thesis or Dissertation (1-12)

Requirements

• The nonrefundable $100.00 application fee ($125.00 for M.B.A./M.P.Ac./M.Fin./Flex M.B.A. applicants only) must be paid by credit card (VISA, MasterCard, or Discover) prior to submission of your application.
• Applicants are required to submit an official copy of transcripts and degree certificates (in original language accompanied by certified English translations) from each academic institution attended after secondary school. These records should be sent directly from the Registrars Office of the academic institutions you have attended to the academic department to which you are applying. If this service is not available, applicants may also request official copies and send them in the institutions' original sealed and certified institution envelopes. Official records are original documents issued by the institution which bear the actual signature of the registrar in ink and the original wet ink stamp/seal of the issuing institution. The institution envelope must also bear that institution's appropriate authenticity indicator (original wet ink stamp and/or signature, etc.) from the appropriate department at that institution to consider the provided certified transcripts and degree certificates provided by the institution as official. Notarized documents are not acceptable. Credential evaluations by WES (World Education Services) or similar credential evaluation services are also not acceptable.
• Statement of Purpose/Personal History Statement
• Graduate programs require three (3) letters of recommendation. Applicants will be able to enter their recommenders' information directly into their electronic application. Recommenders will be notified electronically and provided instructions on how to submit a letter online. All letters of recommendation must be received electronically so they are attached to the applicants file for review.
• The GRE general test is required of all applicants with the exceptions noted below. Some programs also require applicants submit scores from the Subject Test of the GRE. Consult the program to which you are applying for its requirements. Although current scores are preferred, some graduate programs will accept scores from tests taken within the last five years. 
• All applicants whose first language is not English and who have not earned an advanced degree at an institution where English is the exclusive language of instruction must submit scores from the Test of English as a Foreign Language (TOEFL). This exam is administered by the Educational Testing Service and offered in nearly every country abroad. This exam must be taken within two years of the time you intend to enroll at UCR. The minimum acceptable scores are: 550 for the written exam; 213 for the computer-based exam, and 80 for the internet-based exam (iBT). We strongly advise you to be aware of the deadline for the program to which you are applying. Dates and information for TOEFL may be obtained by contacting the Educational Testing Service (ETS) at the address below, by calling 1-877-863-3546, or by consulting the TOEFL Web site. Fellowship applicants should take the exam in time to meet the program deadline. Keep in mind that it may take up to two weeks for test scores to reach us from ETS.
• Beginning with the Fall 2011 application cycle, UCR will accept scores from the Academic Modules of the International English Language Testing System IELTS) which is jointly managed by the British Council, IDP:IELTS Australia and the University of Cambridge ESOL Examinations. The exam must be taken within two years of the time you intend to enroll at UCR. The minimum acceptable scores are: overall band score of 7 with no individual section score less than 6. Please request an official Test Report Form (TRF) of your IELTS. 

Scholarships

• Dissertation Research Grant
• Fellowships
• Teaching and Research Assistantships

The Bachelor of Science in Applied Statistics at the University of California is designed to provide students with a comprehensive understanding of statistical methods and their applications in various fields. The program emphasizes practical skills in data analysis, statistical modeling, and computational techniques, preparing graduates for careers in data science, analytics, and research across industries such as finance, healthcare, technology, and government. The curriculum includes foundational courses in probability, statistical inference, regression analysis, and experimental design, along with advanced topics like machine learning, Bayesian statistics, and statistical programming. Students gain proficiency in statistical software such as R, Python, and SAS, enabling them to manage and analyze large datasets effectively. The program also includes opportunities for internships, research projects, and collaboration with industry partners, allowing students to apply their knowledge to real-world problems and build professional networks. Graduates of the Applied Statistics major are equipped with critical thinking skills and quantitative expertise, making them competitive in the job market or well-prepared for graduate studies. The university provides a supportive academic environment with specialized faculty members, state-of-the-art labs, and resources dedicated to data science research. The program is structured to foster both theoretical understanding and practical application, ensuring that students can translate statistical insights into meaningful conclusions that influence decision-making processes. Overall, the Applied Statistics program at UC prepares students to meet the growing demand for skilled statisticians and data analysts in an increasingly data-driven world.