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DS 301 Foundations of Data Science
DS 301 Foundations of Data Science
Data science history, concepts, and underlying philosophy, data cycle and handling and the associated legal & ethical frameworks.
3 hours, 3 units
DS 396 Graduate Seminar
DS 396 Graduate Seminar
Seminar course on recent work in developing concepts, tools, and methods in Data Science.
May be taken up to three (3) times. Those admitted to the program with a bachelor’s degree (Option 1) are required to have finished at least 12 units of coursework under the curriculum.
Prereq: DS 301. 1 hour, 1 unit
DS 397 Special Topics in Data Science
DS 397 Special Topics in Data Science
may be taken up to three (3) times, provided the subject titles are different.
Prereq: COI. 3 hours, 3 units
DS 398 Advanced Studies in Data Science
DS 398 Advanced Studies in Data Science
Conduct directed, specific research on a problem in the field of specialization, preparation and submission of scientific manuscript in a highly reputable refereed journal.
Must be taken twice. Each course may be split into two separate semesters with two (2) units each.
Prereq: COI. 12 hours, 4 units
DS 399 Research Methods
DS 399 Research Methods
Development and discussion of applicable research methods for and consideration of ethics in dissertation topic proposal.
must have passed the Ph.D. Candidacy Exam and have graduating status (i.e. only DS 400 is left in the succeeding semester/s).
Prereq: COI. 3 hours, 3 units
DS 400 PhD Dissertation
DS 400 PhD Dissertation
Must have passed the candidacy exam and completed all other course requirements; May be taken in parts, provided a total of 12 units of DS 400 have been taken before being allowed to graduate. Each part may be a 3-unit or 4-unit course, or its multiple (i.e., 3, 4, 6, 8, 9, or 12 units respectively corresponding to 3, 4, 6, 8, 9, or 12 hours of independent study).
12 hours, 12 units
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