Fall 2026 Admissions Events & Info Sessions
Recruitment & Admissions Events
Meet the Berkeley MA Statistics & Data Science team on campus, at conferences, and online. Bring your questions about curriculum, admissions, funding, and career outcomes.
Tip: Look for our Peer Ambassadors—current MA Stats students who can share first‑hand advice on courses, recruiting, and life at Berkeley.
✨ Confirmed Fall 2026 Events
Plan your calendar with our locked-in admissions timelines and fair sessions below.
Graduate Admissions Summer Series
Whether you are applying this year or just exploring your options, this webinar series will guide you through every step of the journey. Each Wednesday!
UC Berkeley MASDS Admissions & Information Session (August 2026)
Join the UC Berkeley Department of Statistics for a virtual info session on our intensive, 10-month Master of Arts in Statistics & Data Science. Learn how this top-tier professional degree prepares you for immediate success in industry roles.
UC Berkeley MASDS Admissions & Information Session (Sept. 2026)
Join the UC Berkeley Department of Statistics for a virtual info session on our intensive, 10-month Master of Arts in Statistics & Data Science. Learn how this top-tier professional degree prepares you for immediate success in industry roles.
San José State University Graduate and Professional Programs Fair
Meet our team to explore the Berkeley MASDS, admissions tips, and career outcomes. Peer Ambassadors will be on hand to share their experience.
UC Merced Fall 2026 Graduate & Professional School Fair
Meet our team to explore the Berkeley MASDS, admissions tips, and career outcomes. Peer Ambassadors will be on hand to share their experience.
5th-Year MA Statistics & Data Science Info Session
Unlock the fast track to your graduate degree at the 5th-Year Master of Arts in Statistics & Data Science (MASDS) Info Session! Open to UC Berkeley undergraduates of all majors.
UC Berkeley Graduate Diversity Admissions Fair
Join our the UC Berkeley Graduate Diversity Admissions fair virtually this October. Our session titled, "Beyond the Numbers: The MA in Statistics & Data Science at UC Berkeley" will cover admissions requirements, financial aid, and provide an opportunity to speak with current students of the MASDS program.
UC Davis – Graduate and Law School Fair
Meet our team to explore the Berkeley MASDS, admissions tips, and career outcomes. Peer Ambassadors will be on hand to share their experience.
Grace Hopper Celebration
We’re proud to partner with AnitaB.org for the 2026 Grace Hopper Celebration! At the UC Berkeley Department of Statistics, we’re committed to educating and supporting the next generation of leaders in statistics, data science, and technology. GHC brings together an incredible community of people shaping the future of tech, and we’re excited to be part of the conversation.
SACNAS Annual Conference
In collaboration with the UC Berkeley Graduate Division, our Master of Arts in Statistics and Data Science team will be on site to connect with future STEM leaders! Stop by our booth to chat about our program, Fall 2027 admissions, and funding opportunities.
UC Berkeley MASDS Admissions & Information Session (Nov. 2026)
Join the UC Berkeley Department of Statistics for a virtual info session on our intensive, 10-month Master of Arts in Statistics & Data Science. Learn how this top-tier professional degree prepares you for immediate success in industry roles..
2026 Graduate + Professional Schools Fair (UCSB)
Meet our team to explore the Berkeley MASDS, admissions tips, and career outcomes. Peer Ambassadors will be on hand to share their experience.
Talk with Peer Ambassadors
Our Peer Ambassadors are current MA Statistics & Data Science students—often from diverse academic and industry backgrounds—who can share candid insights on coursework, recruiting, and life at Berkeley. Look for “Peer Ambassador” badges at events, or connect ahead of time:
Questions before an event? Email Stat-MA@berkeley.edu. If you need accessibility accommodations, please contact us at least two weeks prior.