Engineering
University of California, Berkeley, United States
The certificate introduces tools, methods and conceptual approaches for modern data analysis and decision-making in professional and applied research settings, including machine learning and natural language processing. It is designed for Berkeley professional master's and doctoral students and graduate students in social sciences, arts and humanities. Delivered in person.
Faculty: School of Information | Department: School of Information | Study mode: full-time | Location: Berkeley, CA, United States
Three courses giving hands-on practice with unstructured and user-generated data; topics include inference and causality, decision-making and data analytics techniques.
Applicants must be registered in a UC Berkeley graduate degree and in good academic standing, and meet course prerequisites including Python programming and basic statistics. Applications are submitted on the School of Information site in the second half of the semester the requirements are finished; accepted fall, spring and summer. All three courses must be completed or in progress.
Apply through the official page: https://grad.berkeley.edu/admissions/
Engineering
University of California, Berkeley, United States
Engineering
University of California, Berkeley, United States
Engineering
University of California, Berkeley, United States
Engineering
University of California, Berkeley, United States
Book a free consultation with our expert counsellors and take the first step towards your dream university.
Copyrights © 2026 StudyMapped. All rights reserved.
Enter your credentials to continue.
Join us and start your study abroad journey.
