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The Certificate in Data Science allows the preservation of Bachelor students to obtain recognition for the completion of course work, which is an understanding of the discipline of data science, including exposure to data structures and data sources, statistical principles, computational and analysis , Data Management and Data Science applications. Courses In the approved list under interdisciplinary data science, subjects include courses and courses that require a significant interpretation of data and report letters. The students concluding the certificate will be presented with an official certificate document and is free to use this credential on a resume, a CV or application for advanced study.
For the conclusion of the certificate in data science, students must complete at least four courses (3-4 credit hours each) for a total of credit hours from the approved list of Data Science courses below. Group 1 requires two 3-4 credit hours courses in the approved list. Each of groups 2 and 3 is required on the approved list of 3-4 credit hours course.
All courses applied to the certificate can also be counted on the requirements of the student's explained dur. The students are not guaranteed in a course required by the certificate, but are cordially invited to log in to courses where seats remain available after limitation, which may be removed. No course substitutions are approved.
The certificate is sent to those in PDF format to those who have completed this request form after completing all requirements.Reviews are usually completed three times a year, and request forms should be submitted by the following dates:
January 10 (when completing the requirements in an autumn semester)
June 10 (when completing the requirements in a spring semester)
15 August (when completing the requirements in a summer semester)
Request forms submitted after completion of the deadlines will be reviewed at the end of the next applicable semester.
The certificate will be administered by the Statistical Statistics Department, which the team advises. On the departmental studies or the consulting adviser of the Data Science certificate for more information.
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