Graduate Program | Department of Statistics

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We are the only program in Southern California where one may obtain a PhD in Applied Statistics.  Our graduate programs offer opportunities to diversify your study to include research areas in a variety of academic disciplines such as:</span></strong></h5> <h5 class="text-align-center"><br> <strong><span style="color:#ffffff;">Probability Theory  •  Experimental Design  •  Markov Chain Monte Carlo Methods  •  Longitudinal Data Analysis  •  Functional Data Analysis  •  Mixture Models  •  Machine Learning  •  Data Mining  •  Bioinformatics  •  High Dimensional Statistics and Inference  •  Multiple Testing</span></strong></h5> <h5> </h5> </div> </div> </div> </div> </div> </div> </div> </div> <div class="layout layout-one-col grid-container"> <div class="grid-x"> <div class="cell"> <div class="layout__region layout__region--main"> <div data-block-plugin-id="block_content:f2c03942-9a8b-4c5d-a59a-0372519d1fa4" class="ucr-custom-block"> <div class="grid-container full cnas"> <div class="grid-x grid-padding-x"> <div class="cell"> <h2 class="text-align-center">Graduate Programs</h2> <p>The Statistics faculty and staff are fully dedicated to graduate student success. As our graduate student, you will be able to work closely with faculty and other graduate students on innovative statistical research projects and be a part of department's successful Statistics Consulting Collaboratory that serves the campus and business community. Our faculty has received National/International recognition for their professional contribution in research, teaching and service.</p> </div> </div> <div class="grid-x grid-padding-x small-up-1 medium-up-2 large-up-3 cards num-cols-3 " data-equalizer data-equalize-on="medium" data-equalize-by-row="true"> <div class="paragraph paragraph--type--expanding-card paragraph--view-mode--default cell card [ ] is-collapsed" id="masters-in-statistics"> <div class="card__inner [ js-expander ]" data-equalizer-watch> <div class="expanding-card-background" style="background-image: url(/sites/default/files/Expanding_Cards_second_blue_bg.jpg); "> <span> <h4 class="text-align-center"><span style="color:#ffffff;"><strong>Masters in Statistics</strong></span></h4> </span> </div> </div> <div class="card__expander"> <i class="fa-solid fa-xmark [ js-collapser ]"></i> <div class="card_expander_body"> <h5><b>Fall 2024 MS application deadline is June 1st!</b>   Contact <a href="mailto:stat@ucr.edu" style="color:#0563c1; text-decoration:underline">stat@ucr.edu</a> for more information.</h5> <p>The Master's Program has a professional orientation, emphasizing applications and applicable theory; it is intended to provide an "operational" knowledge of the subject.</p> <p>To obtain the M.S. degree, students are required to complete 41 units and pass the comprehensive exams.  Normative time to degree is 2 years. </p> <p>To apply to the program, students must either have completed a B.S. degree in Statistics (or the equivalent), or have completed the following prerequisite courses: STAT 160A, 160B, 160C,161, 170A, 170B, and 171, covering basic areas of probability and statistics.  These courses may be taken through concurrent enrollment via UCR's Extension Center or from another institutions that have these equivalent courses.   View the description of these courses by clicking on: <a href="https://registrar.ucr.edu/registering/catalog" target="_blank">General Catalog </a><br> <br> <em>The undergraduate courses are not counted as credit towards the M.S. degree.</em></p> <p>Changing degree objective from the M.S. to the Ph.D. is available for students that pass the comprehensive exams and are progressing well academically.  Requests are submitted to the graduate advisor for approval, however, funding support is not guaranteed.</p> </div> </div> </div> <div class="paragraph paragraph--type--expanding-card paragraph--view-mode--default cell card [ ] is-collapsed" id="phd-in-applied-statistics"> <div class="card__inner [ js-expander ]" data-equalizer-watch> <div class="expanding-card-background" style="background-image: url(/sites/default/files/Expanding_Cards_second_blue_bg.jpg); "> <span> <h4 class="text-align-center"><span style="color:#ffffff;"><strong>Ph.D. in Applied Statistics</strong></span></h4> </span> </div> </div> <div class="card__expander"> <i class="fa-solid fa-xmark [ js-collapser ]"></i> <div class="card_expander_body"> <p>The Ph.D. program in Applied Statistics emphasizes both the theory of Statistics and its application to special fields of interest.  Primarily, students work on completing the course requirements and comprehensive exams during the first 2-3 years. A minimum of 12 units of enrollment (about 3 courses per quarter) is required until advancing to candidacy.  Students begin dissertation research after successfully passing the course requirements and comprehensive exams. Part of the course requirements is the opportunity to take courses outside the department that will allow students to prepare for their research project. This is the "Substantive Field" requirement and courses may be chosen from areas in Biology, Economics, Political Science, Psychology or Administration.  Specialties might include Population Genetics, Biological Control, Hydrology, Epidemiology, Geology, Discrimination of Learning, or scales and Measurements. Other subjects will need prior approval from the graduate advisor.</p> <p>To apply to the Ph.D. program, students must have completed either a Bachelor's Degree or a Master's Degree in Statistics, Computer Science, Mathematics, or some other quantitative based discipline.  Students lacking sufficient preparation for some statistics graduate classes must complete some preparatory work in Statistics, Computer Science, or Mathematics depending on their background.</p> <p>View a list of requirements and specific courses to Advance to Candidacy for Ph.D. degree by clicking on: <a href="https://registrar.ucr.edu/registering/catalog" target="_blank"><span style="color:#329af0;">General Catalog</span></a></p> </div> </div> </div> <div class="paragraph paragraph--type--expanding-card paragraph--view-mode--default cell card [ ] is-collapsed" id="master-of-science-in-business-"> <div class="card__inner [ js-expander ]" data-equalizer-watch> <div class="expanding-card-background" style="background-image: url(/sites/default/files/Expanding_Cards_second_blue_bg.jpg); "> <span> <h4 class="text-align-center"><span style="color:#ffffff;"><strong>Master of Science in Business Analytics (MSBA)</strong></span></h4> </span> </div> </div> <div class="card__expander"> <i class="fa-solid fa-xmark [ js-collapser ]"></i> <div class="card_expander_body"> <p><a href="https://business.ucr.edu/msba" rel="noopener" target="_blank">https://business.ucr.edu/msba</a></p> <h6><span style="color:#329af0;"><strong>Fall 2024 Application Deadlines:</strong></span></h6> <ul> <li><span style="color:#000000;">Priority Round: December 15</span></li> <li><span style="color:#000000;">Round 2: January 31 </span></li> <li><span style="color:#000000;">Round 3: March 31</span></li> <li><span style="color:#000000;">International Late Round: June 1</span></li> <li><span style="color:#000000;">Domestic Late Round: August 1</span></li> </ul> <p class="text-align-justify"><span style="color:#000000;">Build a career in the growing and important field of business analytics. As firms have access to increasingly large amounts of data about their customers, costs, and suppliers, highly trained analysts who examine this information have become essential for improving operations, increasing the yield on marketing programs, and optimizing pricing and financing. UCR’s graduate degree in business analytics will extend your background in business or a quantitative discipline to bring your business acumen and statistical computing skills to a level that allows you to make the most of this vast business data.</span></p> <p class="text-align-justify"><span style="color:#000000;">The UCR graduate program in Business Analytics is a rigorous STEM program jointly offered by the School of Business and the Department of Statistics in the College of Agricultural and Natural Sciences. </span></p> <p class="text-align-justify"><span style="color:#000000;">The curriculum focuses on:</span></p> <ul> <li class="text-align-justify"><span style="color:#000000;">Statistical computing to describe marketing, logistics and financing patterns</span></li> <li class="text-align-justify"><span style="color:#000000;">Testing models for improved operating efficiency, lowering costs and targeting the needs of customers</span></li> <li class="text-align-justify"><span style="color:#000000;">Forecasting revenues and consumer demand</span></li> <li class="text-align-justify"><span style="color:#000000;">Identifying trends in financial markets and using financial data to hedge operations</span></li> </ul> <p class="text-align-justify"><span style="color:#000000;">All students in the program take highly quantitative courses in data analysis and statistical computing, as well as a two-quarter, experiential learning capstone class that applies your understanding of business analytics to a project.</span></p> <p class="text-align-justify"><span style="color:#000000;">Gain your degree in nine months of intensive study or follow a flexible schedule that combines your studies with industry work experience.</span></p> <h6 class="text-align-justify"><strong><span style="color:#329af0;">Three Career Tracks through Elective Courses:</span></strong></h6> <ul> <li class="text-align-justify"><span style="color:#234674;">Finance Analytics:</span><span style="color:#000000;"> </span><span style="color:#000000;">Explore this new and growing specialization within business analytics by focusing on investments and portfolio management, and derivatives.</span></li> <li class="text-align-justify"><span style="color:#234674;">Marketing Analytics:</span> <span style="color:#000000;">Use data on demographics, consumer behavior, markets, and social media to leverage information for more powerful marketing strategy. Marketing analytics careers can be found in consulting as well as large companies with a national or international footprint.</span></li> <li class="text-align-justify"><span style="color:#234674;">Operations Analytics:</span> <span style="color:#000000;">Supply chain and logistics management requires informed decision-making based on hard numbers that pinpoint bottlenecks and optimize growth. Operations analytics training prepares you to extract insights in manufacturing, distribution, and app-based services.</span></li> </ul> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="layout layout-one-col grid-container full"> <div class="grid-x"> <div class="cell"> <div class="layout__region layout__region--main"> <div data-block-plugin-id="block_content:c98bb89e-31a0-4458-b379-159d56d0cefa" class="ucr-custom-block"> <div class="grid-container full margin-bottom-1"> <div class="grid-x grid-padding-x"> <div class="cell"> <h3> </h3> <h2><span style="color:#637ea4;"><em>FORTUNE 500 quotes:</em></span></h2> </div> </div> </div> <div class="stat-container stat-container-custom-bg " style="background: url(/sites/default/files/white-striped_1.jpg); background-size:cover;"> <div class="grid-container full"> <div class="grid-x grid-padding-x grid-padding-y small-up-1 medium-up-2 large-up-4 align-center"> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> $131,700 </div> <div class="stat-description"> national median salary for Ph.D. graduates </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> 23.7% </div> <div class="stat-description"> projected job growth by 2022 </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> 71% </div> <div class="stat-description"> highly satisfied </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> 67% </div> <div class="stat-description"> low stress </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> $109,700 </div> <div class="stat-description"> national median salary for M.S. graduates </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> 18.2% </div> <div class="stat-description"> projected job growth by 2022 </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> 80% </div> <div class="stat-description"> highly satisfied </div> </div> </div> <div class="paragraph paragraph--type--statistic paragraph--view-mode--default cell"> <div class="stat"> <div class="stat-number"> 51% </div> <div class="stat-description"> low stress </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </article> </div> </div> </div> </div> </div> </div> </main> <footer style="background-image:url(https://statistics.ucr.edu/sites/default/files/theme-banners/Stats-Footer_0.png); background-repeat: 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