Any upper-division data science course not used to fulfill other requirements with the exception of DSC 197, 198, and 199.Senior Project (eight units): DSC 180A-B.Core Courses (thirty-two units): ECON 120A or MATH 183 or MATH 181A, MATH 189, DSC 100, DSC 102, DSC 106, DSC 140A or CSE 150A, CSE 151A, CSE 158.All courses must be taken for a letter grade unless offered Pass/Not Pass only. Students must complete sixty upper-division units. Social Sciences: (POLI 5 and POLI 30) or (SOCI 60 and USP 4).Machine Learning and Artificial Intelligence: COGS 14A-B.Business Analytics and Econometrics: ECON 1 and ECON 3.Subject Domain Courses: Students must choose one of the following two-course sequences (eight units).Mathematics: MATH 18 or MATH 31AH, MATH 20A-B-C or MATH 31BH (sixteen units).Data Science: COGS 9, DSC 10, DSC 20, DSC 30, DSC 40A-B, DSC 80 (twenty-eight units).All courses must be taken for a letter grade and passed with a minimum grade of C–. Students are expected to complete the following fifty-two units by the end of their sophomore year. Alternatively, students can choose to explore the mathematical, statistical, and computational foundations of data science in even greater depth.Īll majors will be required to undertake a senior project that will give them an opportunity to creatively synthesize much of what they have learned in the data science courses for addressing problems in chosen domains. The program includes twenty units of elective courses that will enable students to embark upon an in-depth exploration of one or more areas in which data science can profitably be applied. The lower-division curriculum includes calculus and linear algebra courses for sixteen units, data science courses for twenty-eight units, and subject domain courses for eight units. The major consists of 112 units with fifty-two units from lower-division courses and sixty units from upper-division courses. The major also educates students about the societal and ethical impact of data science so that they can make responsible decisions as data science practitioners. To this end, in addition to learning about data science models and methods, students will acquire expertise in a particular subject domain.
The primary goal for the data science major is to train a generation of students who are equally versed in predictive modeling, data analysis, and computational techniques.
They ask appropriate questions about data and interpret the predictions based on their expertise of the subject domain. Data scientists develop mathematical models, computational methods, and tools for exploring, analyzing, and making predictions from data. Program Focusĭata science is concerned with drawing useful and valid conclusions from data. All courses, faculty listings, and curricular and degree requirements described herein are subject to change or deletion without notice.
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