Overview
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.
Data Science Advising
Click on the drop-menus below for more information and documents related to the Data Science major.
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Change of Major Criteria for Data Science
Students must be in Good Academic Standing at the time the Change of Major Petition is filed 2.0 quarter, cumulative, and upper-division GPA. In addition, no less than a C– in any STAT, MATH, Science, and Engineering courses. Transfer students must be DTSC eligible at the point of admission to UCR Degree program must be completed without exceeding 216 earned units. Freshman (up to 44.9 units)
Sophomore (45 - 89.9 units)
Junior (90 - 134.9 units)
Senior (135 units & above)
Completion of...
- ENGL001A with a grade of “C” or better and completion of the following with at least 2.70 GPA:
- CS010A
- CS010B
- MATH009A or 09HA
Completion of...
- ENGL001A with a grade of “C” or better, and completion of the following with at least 2.70 GPA:
- CS010A
- CS010B
- MATH009A or 09HA
- MATH009B or 09HB
- MATH009C or 09HC
Completion of...
- ENGL001A & ENGL001B with a grade of “C” or better, and completion of the following with at least 2.70 GPA:
- CS010A
- CS010B
- CS010C
- MATH011/CS011
- MATH009A or 09HA
- MATH009B or 09HB
- MATH009C or 09HC
- One of MATH031 or MATH010A
Changing to the Data Science (DTSC) major at senior level (greater than or equal to 135 units) is not allowed
- ENGL001A with a grade of “C” or better and completion of the following with at least 2.70 GPA:
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Course Planning Materials for Data Science
Data Science Additional Documents
Data Science Degree Summary Sheet
Data Science Sample Four-Year Course Plans
Data Science Schedule of Course Offerings
Data Science Academic Advisors
Professional Advising at CNAS provides individual guidance towards achieving realistic academic goals and making decisions regarding your academic career at UCR. Professional Academic Advisors can assist you with declaring or changing your major or minor, course repeats, taking courses outside of UCR, taking a leave from UCR, questions about withdrawing or readmitting to UCR.
Data Science Lead Faculty Advisor
A Lead Faculty Advisor is assigned for each major. Faculty advisors are available to assist students with guidance regarding graduate or professional school, opportunities to participate in research, independent study, or internships. Faculty advisors also may provide students with advice and mentoring regarding career goals.
