B.A. in Statistics
Core Requirements (24 to 25 units): |
Upper Division Requirements (36 units): |
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a) CS 010, MATH 008B or MATH 009A, MATH 009B, MATH 009C, MATH 010A b) Four (4) additional units in Mathematics, chosen from MATH MATH 113 or MATH 131 |
a) STAT 147, STAT 155, STAT 157, STAT 170A, STAT 170B b) Twelve (12) units chosen from STAT 127/BUS 127, STAT 130, STAT 140, STAT 146, STAT 160A, STAT 160B, STAT 160C, STAT 171 c) Four (4) units of STAT 183 (formerly 197) taken at the end of the Senior year |
B.S. in Statistics
Core Requirements (24 to 25 units): |
Upper Division Requirements (52 units): |
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a) CS 010, MATH 008B or MATH 009A, MATH 009B, MATH 009C, MATH 010A |
a) Thirty-six (36) units of upper-division course work
b) Sixteen (16) units of additional course work chosen, with the approval of the major advisor, from Statistics courses numbered 104 and higher or from related fields. |
B.S. in Statistics with Options in Statistical Computing
The requirements for this option are in addition to the requirements for the B.S. in Statistics, except that the option requirement takes the place of the 16 units in b) previous.
Lower Division Requirements (8 units): |
Upper Division Requirements (16 units) |
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CS 012, CS 014 |
a) MATH 113
c) MATH 135A, MATH 135B recommended |
B.S. in Statistics with Options in Quantitative Management
Lower Division Requirements (16 units): |
Upper Division Requirements (52 units): |
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a) ECON 003 |
Sixteen units of upper division course work Math 113 Three courses from one area
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Minor in Statistics
The minor in Applied Statistics is designed to give students in either the social sciences or the physical sciences a cohesive set of statistics courses to deal with the data analytic aspects of their disciplines and to understand the statistical summaries that are encountered in everyday activities.
Requirements |
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STAT 100A, STAT 100B Of the specified upper-division units, a minimum of 16 must be unique to the minor and may not be used to satisfy major requirements. No more than 4 units may be in courses numbered 190 through 199. |
B.S. in Data Science
https://datascience.ucr.edu/undergraduate
Data has become ubiquitous in everyday life, impacting every profession, from entry-level office workers to CEOs, from team coaches to general managers, from accountants to CFOs. Businesses now have data available to them at a scale that is historically unprecedented; harnessing this data for insight on what customers want provides them with a competitive advantage. Traditional companies (Ford, Walmart, General Electric, etc.) today pride themselves as being transformed to big-data businesses. Furthermore, data permeates all aspects of science, engineering, and other academic disciplines.
The field of Data Science has recently emerged as a new academic discipline studying data itself. Data Science lies at the intersection of Computer Science and Statistics. By creating a Data Science undergraduate degree we aim to educate the future data scientists and leaders in this field, by building knowledge bottom-up, covering both essential knowledge from Computer Science (in managing data) and Statistics (in analyzing data), and integrating this knowledge with applications to other domains and to real-life problems. The Data Science major provides a comprehensive program studying how data can be collected, transformed, analyzed, and used to solve problems across academic disciplines and applications.
Curriculum
Through its interdisciplinary nature, the Data Science major (B.S.) offers a great opportunity to serve as a pathway for professional careers in various areas. A distinguishing characteristic of our Data Science program in that its students will complete course sequences in other departments (e.g., economics, business, sociology, earth sciences, biology, bioinformatics, and astronomy) where they will learn how Data Science principles are applied in these domains.
Fueled by the explosion of data, Data Science jobs have proliferated and the demand for data scientists is extremely high; moreover, this demand is expected to be strong for years to come. A recent McKinsey report forecasted a need for hundreds of thousands of data scientists in the next decade. Three-fifths of the data science and analytics jobs are in the finance and insurance, professional services, and information technology sectors, but the manufacturing, health care, and retail sectors also are hiring significant numbers of data scientists. According to Glassdoor, a recruiting site, Data Scientist has been among the top jobs in the US for various years, attracting high salaries. We thus expect that the Data Science program will provide new opportunities and serve well the UCR community.
The B.S. in Data Science major is an intercollegiate major offered by the Department of Computer Science and Engineering (within the Bourns College of Engineering) and by the Department of Statistics (within the College of Natural and Agricultural Sciences). When students declare the major, they choose from which college they wish to have their degree awarded. Students whose degrees are awarded by the Bourns College of Engineering are advised in and have their records maintained by the BCOE Office of Students Academic Affairs; students whose degrees are awarded by the College of Natural and Agricultural Sciences are advised in and have their records maintained by the CNAS Undergraduate Academic Advising Center. Breadth requirements vary by college; and students must fulfill the breadth requirements of the college they choose.
Students choosing their BS in Data Science from BCOE should fulfill the requirements laid out in the BCOE Data Science course plan.
Students choosing their BS in Data Science from CNAS should fulfill the requirements laid out in the CNAS Data Science course plan.
Courses
The Data Science major offers a high quality program. Its design was greatly inspired by two recent reports about creating undergraduate Data Science programs from the National Academies of Sciences, Engineering and Medicine and the Park City Mathematics Institute (an NSF report endorsed by the Board of Directors of the American Statistical Association).
More information on the Data Science Program Catalog Description.
B.S. + M.S. in Statistics
The College of Natural and Agricultural Science offers a combined B.S.+1 Statistics M.S. program, designed to allow successful B.S. graduates who have taken some graduate level statistics courses in their senior standing year in UCR to complete the Master of Science degree in Statistics in one year, by allowing up to 12 units of graduate level coursework taken in UCR as an undergraduate to be counted towards the MS degree requirements.
Program Information |
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A student should apply for the B.S.+1 Statistics M.S. program (including transfer students) before the start of their senior standing year. To apply, the student must have a cumulative GPA at least 3.0 overall, 3.3 GPA in the statistics major, and have completed STAT 160ABC or equivalent. These are minimum requirements and do not guarantee the admission. The application to the B.S.+1 M.S. program must include a transcript, and at least two recommendation letters. Submission of GRE scores with the application is recommended but not required. During students’ senior year, students must apply via the Graduate Division for the M.S. portion. Matriculation into the graduate portion of the B.S.+1 M.S. program occurs in the Fall term following their final year, provided: (a) the M.S. application is accepted, (b) throughout the final undergraduate year at UCR the student has a cumulative GPA 3.0 or higher, (c) by the end of senior standing year, the student completes the B.S. degree requirements. Incoming freshman students who apply to the Statistics B.S. program may simultaneously apply for preliminary conditional admission into the B.S.+1 Statistics M.S. program provided their high-school GPA is at least 3.6, their SAT-I combined score is at least 1250, they satisfy the Entry-Level Writing requirement prior to matriculation, and they are eligible to enroll in or to receive credit for MATH 7A or MATH 9A upon arrival or in their first quarter they have sufficient math preparation to enroll in calculus upon arrival. Preliminary conditional admission status is maintained as long as the student is a Statistics B.S. student in good standing with a cumulative GPA of at least 3.0. Conditionally admitted students still need to apply for full admission by the start of their senior standing year as described above and apply via the Graduate Division for the MS portion. Continuing undergraduate students who meet the above criteria may apply to the program by submitting a petition and should confer with their staff advisor for details. To earn the MS degree, students are required to complete a minimum of 41 units that must include STAT 201A, 201B, 201C, STAT 202A, 202B, 202C, STAT 206, STAT 208, STAT 288, and two quarters of STAT 293, and pass the written exam. No more than 12 units earned prior to matriculation to graduate status can be applied towards the MS degree requirements. (The courses that can be double counted are those that must be graduate level courses and be eligible to be counted as electives in the B.S. requirements). Students receive credit toward the 41 units by completing STAT 201ABC (recommended) or some other graduate level courses, approved by the graduate advisor, as an undergraduate senior. During the MS portion of the program, students must maintain a GPA (both overall and in the major) of at least 3.0 for all coursework. If the GPA falls below 3.0, they may be dropped from the program. Additional requirements are successfully passing a written comprehensive examination. For more information about the program, click here. If you're interested in applying for this program, contact Dr. James Flegal at james.flegal@ucr.edu or Javier Ramirez at javier.ramirez@ucr.edu. |
Sample Course Plan for B.S + M.S. |
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