Welcome Berkeley Master of Analytics Class of 2024!
Welcome from the Chair of UC Berkeley’s Industrial Engineering and Operations Research Department Alper Atamturk
Congratulations and welcome to Berkeley Analytics! Our admissions committee has enthusiastically recommended you for admission for Fall 2023 to UC Berkeley’s Master of Analytics degree program. We are impressed with your academic accomplishments and strong interest in changing the world for the better with analytics.
At Berkeley Analytics, you will find a welcoming community of faculty, students, and staff to guide you through your studies. In addition, as a UC Berkeley alum, you will join a lifelong network supporting your career journey beyond graduation. We are glad to welcome you to the UC Berkeley community and hope you will join us.
This new admit website provides the resources to help you navigate the next steps. Please take the time to read through the vital information here. Should you have any questions, please do not hesitate to contact us. Our staff is here to answer your questions and offer advice.
Meet your Advisors
Heather Iwata focuses on serving students in IEOR’s master of science, master of engineering, and PhD programs.
She has worked on campus for over 11 years at the School of Optometry and the Department of Economics, collectively, where she worked on admissions and student affairs. Heather holds a B.A. in Communication and Psychology from the University of California, Davis, and a master of arts degree in Counseling and Guidance from Cal Poly, San Luis Obispo. She has a love for all things Disney and expect Heather to get up and dance if N’Sync, Boyz II Men and Usher are playing.
IEOR Graduate Student Services (M.S./Ph.D./M.Eng./M.Analytics)
Erica is originally from Savannah, Georgia. She attended Georgia Southern University, where she earned her BS in Mathematics and a Master of Arts in Teaching degree. Before joining Berkeley, Erica taught secondary mathematics and also worked at the University of Florida in admissions and student affairs. Outside of work, she takes advantage of the nice weather and scenic trails in the Bay Area by hiking, running, and camping.
Please check back on these dates on a regular basis.
New Admit Tasks
The Graduate Division has created a New Graduate Student Guide that covers everything from submitting your final transcripts to parking and transportation at Berkeley. Please review this prior to your arrival.
The Berkeley International Office also provides important information for new international students.
View the UC Berkeley Graduate Student Profile here.
Access On-Demand 2023 Visit Day Webinar
On March 22, 2023, IEOR held a Virtual Visit Day. Department Chair and Professor Alper Atamturk welcomed the admitted cohort of 2023 with information on the Master of Analytics program.
Previous Email Communications
UC Berkeley returned to primarily in-person instruction in spring 2022. The best way to access recent updates and announcements regarding future instructional plans is to regularly review the campus’ UC Berkeley Coronavirus resources website.
eTang- Mantatory Immunization Program
You should review the Mandatory Immunizations Program for all immunization requirements and deadlines.
Why UC Berkeley IEOR?
IEOR grads figure out how to make things better.
Picture yourself at the headquarters for a large system of hospitals, where your job is to optimize their emergency rooms, to serve more patients and save valuable resources.
IEOR grads help products achieve perfection.
You might oversee the production of electric vehicles that reduce carbon emissions and create the future of autonomous fleets for urban mobility.
IEOR grads understand logistics
Imagine it’s your job to design a supply chain to efficiently distribute a vaccine to millions of people from various suppliers around the world.
IEOR grads learn the latest data science tools.
Envision a future at a leading technology company, using your skills to develop the next generation platform for artificial intelligence.
IEOR grads configure processes and systems that improve quality and productivity.
Imagine you work at a famous coffee house chain, designing the store layout so that customers can get their morning cup of coffee faster.