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Cornell Bowers Computing and Information Science

@cornell.bowers

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Cornell Bowers is the new frontier of tech—moving technology, humanity, and society forward as one.
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🗣️RECRUITMENT WORKSHOP‼️

Hope fall break was fun! 🥳 As you settle in and get back into your college routine, be sure to plan to join us TODAY for our recruitment workshop partnered with @urmc_cornell 👏. You will have the opportunity to ask questions about recruitment, resume advice, and network with our members🎉. Add this to your calendar! 💌

#cornell #technology #communityimpact #professionaldevelopment #cornellstudents

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⚖️ One program. Two options.

The Cornell MPS in Data Science & Applied Statistics comes in two flavors — and both complete the required coursework, the statistical analysis project, and the two-course sequence in mathematical probability and statistics.

📊 Applied Statistics — for the statistical analyst. Emphasis on the techniques of applied statistics: modeling, inference, and drawing rigorous conclusions from data.

💻 Data Science — statistics plus computer science. Scripting, databases, big data, and high-performance computing for building at scale.

Same degree. Same rigor. Different toolkit. Which one is yours?

Questions? sds@cornell.edu
Fall 2027 applications are open; deadline February 15.
Spring 2027 applications are open; deadline November 16.

#Cornell #CornellBowers #DataScience #Statistics #GradSchool

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🔬 Causation > correlation.

Big news: Sam Wang, assistant professor of statistics and data science, has won an NSF CAREER Award to develop theory and methods that make causal discovery more trustworthy and reliable.

Causal discovery tries to recover real cause-and-effect relationships among variables in a complex system — proteins in a cell, signals across brain regions, stocks in a market — from observational data.

Sam’s work attacks two fronts: methods that rigorously reason about uncertainty in estimated causal structure, and that relax the restrictive assumptions limiting where causal discovery can be trusted.

Because in an era of AI-generated plausibility, the field doesn’t need more correlations — it needs causal claims you can defend. 💪

One of thirteen early-career Cornell professors to win NSF development awards this cycle. 🎉

Read more at: https://news.cornell.edu/stories/2026/07/thirteen-early-career-professors-win-nsf-development-awards

#Cornell #CornellBowers #DataScience #Statistics #NSF

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🎯 Where does an MPS take you?

From classroom to capstone to career, dedicated career advising helps MPS students turn their training into offers.

📅 Fall applications close Feb 15 | Spring applications close Nov 16
Questions? sds@cornell.edu

#Cornell #CornellBowers #DataScience #AppliedStatistics #GradSchool

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🎓 Thinking about applying to the MPS in Data Science & Applied Statistics? Here’s what you need to know.

You’ll need a bachelor’s degree with a strong quantitative foundation. Most applicants come from statistics, math, engineering, CS, or the physical, biological, agricultural, and social sciences — but if you’re from a related field and don’t check every box, apply anyway. We value diverse backgrounds.

Deadlines: Fall — Feb 15 | Spring — Nov 16
Questions? sds@cornell.edu

📍 And if you’re on campus today: find our table at the Master’s Program Fair, 11 AM–1 PM in the CIS north corridor. Come ask us anything!

#Cornell #CornellBowers #DataScience #AppliedStatistics #GradSchool

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🎓 Tomorrow! Join us at the Cornell Bowers Master’s Program Fair

Tuesday, Sept. 22 • 11 AM–1 PM
📍 CIS Building, north corridor

Explore early-credit pathways that let undergrads begin graduate coursework early, one-year master’s programs in Computer Science, Information Science, and Statistics & Data Science — and get a sneak peek at two new online AI master’s programs launching Fall 2027.

Stop by the MPS Data Science & Applied Statistics table: meet faculty, program directors, and advisors, get your admissions and career questions answered — plus free pizza 🍕 and a chance to win Bowers merch!

#Cornell #CornellBowers #DataScience #AppliedStatistics #GradSchool

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Fall at Cornell 🍂

The semester is underway — and Ithaca is showing off.

One year. One cohort. A community that lasts.

Curious about the MPS? Come meet the program at the info session

📅 Friday, October 2 • 4:30–5:30 PM
📍 CIS Building, Room 450

Register via link: https://stat.cornell.edu/statistics-data-science-events/mps-information-session

Questions? sds@cornell.edu

#Cornell #CornellBowers #DataScience #AppliedStatistics #GradSchool

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#ClimateWeekNYC 2026 is almost here ⭐️

In just a few days, the @cornelluniversity delegation will be heading to New York City for a week of conversations spanning AI, climate finance, critical minerals, nuclear energy, circularity and more.

Swipe ➡️ to see the faculty experts that will be joining us in NYC
📌Explore the full Cornell at Climate Week NYC agenda and more faculty delegates: https://atkinson.cornell.edu/projects/nyc-climate-week/ (link in @atkinsoncenter bio; The ⭐️ events are where you can find Cornell Atkinson)

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Day 3: Competition Day! We are so proud after our successful Hermes flight today, and excited for the rest of SUAS 2026!

Keep following along with our journey as we head into the middle of competition week 🛫❤️

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Dreaming of a career in data? 📊 Start here.

Applications are open for Cornell’s MPS in Data Science and Applied Statistics — Spring deadline: November 16, Fall deadline: February 15.

One year. Real projects. An Ivy League credential. Link in bio to apply. 🔗

#Cornell #DataScience #Statistics #GradSchool #HigherEd DataCareers IvyLeague Turn data into bold predictions with Cornell MPS in Data Science and Applied Statistics

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Some more cherished moments from the unforgettable graduation ceremony of our twin daughters at Cornell University. 🎓❤️

Watching both of them cross the stage on the same day was a moment of immense pride, gratitude, and joy. Years of hard work, perseverance, and dreams culminated in one truly unforgettable celebration.
@cornell.bowers

#CornellUniversity #TwinGraduation #ProudParents #Cornell2026

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New research from Cornell Tech, @Cornell.Bowers, and Carnegie Mellon University finds that weak AI regulation may actually make AI products less safe than having no regulation at all.

The study, published in PNAS, was led by Ph.D. student Benjamin Laufer, Ph.D. '26, who conducted the research while based at Cornell Tech, alongside Jon Kleinberg and Hoda Heidari.

Their findings suggest that thoughtfully designed regulation across the AI development pipeline can improve both safety and outcomes for consumers.

#CornellAI

Read more at the link in our bio!

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