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Application for Graduate Certificate in Applied Data Science

Thank you for your interest in the Graduate Certificate in Applied Data Science! To submit your application for the certificate, please fill out the form below.

Deadlines

Applications are reviewed twice per year, once in the middle of the fall semester and once in the middle of the spring semester. Students are encouraged to apply as soon as they know that they are interested in the certificate.

Students may apply at any time during their UC Berkeley graduate career, regardless of whether or not they have already taken courses that would count toward the certificate, but must be able to demonstrate that they have time and schedule flexibility to allow for taking all the necessary courses.

  • Students who are graduating at the end of Fall 2021 must apply by October 1, 2021.
  • Students who are graduating at the end of Spring or Summer 2022 must apply by March 1, 2022.

Application

Good academic standing for graduate students at UC Berkeley means a GPA of 3.0 or above and meeting any other requirements of your home department or degree program for good standing. Your department may have higher standards than the 3.0 minimum set by the Graduate Division. If you are not sure whether you are in good academic standing, consult your adviser.
Expected Graduation Term
Python Programming Prerequisite
Students are expected to have Python programming proficiency as a required prerequisite before being admitted to the Graduate Certificate in Applied Data Science.
Please describe your prerequisite proficiency in Python programming. This could include completion of Python programming courses with a grade of B or higher, or relevant competency demonstrated through work experience. (In addition to course names, please describe specific instruction and use of Python in the course.)
Statistics Prerequisite
Students are expected to have basic statistics knowledge as a required prerequisite before being admitted to the Graduate Certificate in Applied Data Science.
Please describe your prerequisite competency in statistics. This could include completion of statistics courses with a grade of B or higher, or relevant competency demonstrated through work experience. (In addition to course names, please describe specific instruction and use of statistics in the course.)
File Uploads
Please upload a letter of intent summarizing your research interests and background in data science.
Files must be less than 5 MB.
Allowed file types: txt rtf pdf doc docx.
Files must be less than 5 MB.
Allowed file types: rtf pdf doc docx.
You can download a PDF of your unofficial transcript from CalCentral.
Files must be less than 5 MB.
Allowed file types: pdf.
Proposed study plan
Please specify your proposed study plan to fulfill the program’s course requirements. If you have already completed any of the certificate course requirements, please list the courses and semesters completed. (See List of Approved Courses for the complete list, rules, and restrictions.)
1. Introductory Data Science Course
One required synthetic introduction to data science class.
* See complete list for restrictions.
2. Course in Analytical Methods and Techniques of Data Science
3. Elective
A domain-specific data science course or a second methods course. Students must take at least 3 units from this list
* See complete list for restrictions. ** Students who complete an elective of less than 3 units must also complete a second elective from the list for a total of at least 3 units.
Any additional information about your proposed study plan or application

Programs

Last updated:

September 10, 2021