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Alan Gelfand, Becky Tang, and Jim Clark received an Honorable Mention for the 2023 best paper in the Journal for Agricultural, Environmental, and Behavioral Statistics. Alan is the James B. Duke Distinguished Professor Emeritus of Statistical Science. Becky is a Ph.D. alumnus in Statistical Science. Jim Clark holds a secondary faculty appointment in Statistical Science and is the Nicholas Distinguished Professor of Environmental Science. read more about Honorable mention for best paper in JABES »

The MSS program celebrated our annual alumni dinner at the JB Duke on February 23rd. The event, hosted by the MSS GCC, featured keynote speaker Dr. Christopher Krapu (MS ’20), who shared his experience and insightful advice, and an alumni panel sharing experiences from across multiple industries and fields, including NVIDIA, Aetna/CVSHealth, and Zillow.  Department Chair Dr. Jerry Reiter and Professor of the Practice of Statistical Science Dr. David Banks also shared remarks in support of the MSS program, and current… read more about MSS Welcomes Back Accomplished Alumni for Annual Dinner »

For the fifth consecutive year, the Department of Statistical Science has been awarded a Trinity Research Enhancement Fund grant from the Office of Academic Affairs to support undergraduate research and senior thesis projects. This award of $17,000 for the 2024 - 2025 academic year will fund efforts to promote a sustainable culture of undergraduate research in the department. Portions of the grant will support undergraduate research events during the year and replenish the department’s Undergraduate Conference Fund, which… read more about Department Awarded Grant to Support Undergraduate Research Initiatives »

The MSS program takes pride in preparing our students for whatever comes after graduation, whether it’s a high-paying industry job or admission to a prestigious Ph.D. program. Our program allows students to delve into the very core of statistical theory, methods, computation, and their real-world applications. Over the last few years, we’ve seen an increased number of students apply (and be accepted to) respected Ph.D. programs all over the world – and this year is no exception. Our MSS students have already… read more about High Number of Ph.D. Offers for MSS students »

Save the date! May 11, 4:00 pm - 6:00 pm Speaker(s): Jerry Reiter, Professor and Chair of Statistical Science Save the date! On Saturday, May 11th, 2024, from 4 to 6 p.m., we will celebrate the hard work and dedication of our 2024 graduates and their families with a graduation reception. Invitation emails with the location will be sent out in April. If you or any parent has any questions, please email Karen Whitesell.  We look forward to sharing this special moment with you! read more about Save the date! »

An article by former Duke visiting Ph.D. student Maryclare Griffin and Statistical Science faculty member Peter Hoff has been selected for the American Statistical Association Editor's Choice Collection. Their article, "Structured Shrinkage Priors," was one of two articles selected by the Journal of Computational and Graphical Statistics editors. Other Editor's Choice selections can be found at the following link. read more about Editors’ choice award for Peter Hoff »

An article by Statistical Science Ph.D. student Xiaojun Zheng and faculty member Simon Mak has been selected for the American Statistical Association Editor's Choice Collection. Their article, "PERCEPT: a new online change-point detection method using topological data analysis," was one of two articles selected by the editors of Technometrics. Other Editor's Choice selections can be found at the following link. read more about Editors’ choice award for Simon Mak »

The 2024 student paper award winners for the Section on Environmental Sciences (EnviBayes) of the International Society for Bayesian Analysis all have connections to Duke Statistical Science.  The award winners include: 1. Jorge Castillo-Mateo: Spatio-temporal modeling for record-breaking temperature events in Spain (advisors: Ana C. Cebrián, University of Zaragoza and Alan E. Gelfand, Duke University) 2. Sam Gailliot: Data sketching and stacking: A confluence of two strategies for predictive inference in high-… read more about EnviBayes student paper awards!  »

The Department of Statistical Science at Duke University in Durham, NC, invites applications for the position of Director of the Master's in Statistical Science (MSS) program. The candidate will also be appointed as a regular rank, non-tenure track faculty member in the department. The MSS is a 2 year degree that provides a modern, comprehensive education in statistical and data science, emphasizing theory, methods and computation. The program brings students into challenging, real world research areas, and prepares… read more about Open Position: Master's Program Director »

In an impressive display of academic excellence, thirteen students from the Master of Statistical Science (MSS) program have been honored with the prestigious Dean's Research Award this semester.  This coveted award serves as a springboard for students, providing them with essential funding to dive deeper into their research pursuits.  It covers a range of critical needs, from acquiring necessary research tools and programs to attending influential conferences.  Such support is crucial in enhancing the… read more about  MSS Students Shine with Dean’s Research Award from The Graduate School »

The Department of Statistical Science is delighted to announce that two Duke students were among winners from the Spring 2023 Undergraduate Statistics Project Competition.   Ro Huang placed in the top three for their class project, “Bring The Heat: Exploring The Relationship Between Temperature And Short & Long-Distance Running Performance,” and Naomi Rubin placed in the top three for her research project, “Evaluating Student Perception Of Assessment In Introductory Quantitative Studies.”… read more about Duke Students Win at the Undergraduate Statistics Project Competition  »

Recruiters recently returned to campus for our second annual STEM-focused career fair, co-sponsored by the Master’s of Statistical Science and Master's in Interdisciplinary Data Science Programs. Over a dozen employers were welcomed to campus, including Netflix, the National Security Agency, DCRI, and Vectra AI, among others. Employers searching for students to fill internship, research, and full-time employment positions were able to connect with over 200 students from the MSS and MIDS programs, as well as graduate… read more about 2nd Annual STEM Career Fair   »

Looking for top talent for your summer internship roles? Duke University's Master of Statistical Science program is pleased to present our Resume Book featuring our exceptional students with strong foundations in statistical inference, computing, and data science. Email us at stat-msd@duke.edu to request your Resume Book. Find your next superstar data science intern today! For employers looking to interact with first and second-year students looking for internships and full-time positions, consider signing up… read more about Exciting News! Our Resume Book of Current Master's Students is Ready 📚 »

MSS students enjoyed a picnic in Duke Gardens last week, taking advantage of the beautiful fall weather. Planned by the MSS Graduate Consultative Committee (GCC), students enjoyed conversations with classmates and faculty members, alongside delicious pizza – and even some ultimate frisbee!  read more about MSS Fall Picnic! »

Interested in applying to Duke's Statistical Science Ph.D. program? Join our Director of Graduate Studies, Prof. Merlise Clyde, to learn more about our world-class program! Prof. Clyde will give an overview of the Ph.D. program and the admissions process, followed by a Q&A session with the participants.

 Register Here Session 1: Friday, October 20th, 9 am EDT Session 2: Friday, October 20th, 1 pm EDT Session 3: Friday, October 27th, 9 am EDT Session 4: Friday, October 27th, 1 pm EDT read more about PhD overview and information session with Dr. Merlise Clyde »

MSS students Shang Zheng, Joyce Zhou, and Yanjiao Yang won the gold medal in the 2023 Big Data Health Science competition hosted by the University of South Carolina. The Big Data Health Science Student Case Competition provides teams of graduate and senior undergraduate students with the opportunity to apply their knowledge to analyzing big datasets in healthcare.   read more about MSS students gold medal winners in data science competition  »

Assistant Professor Simon Mak is the Duke PI on an interdisciplinary grant funded by the Department of Energy, on developing new Bayesian uncertainty quantification methods for advancing important directions in nuclear physics and high-energy physics. This is a $1.3 million multi-institutional collaborative grant with theoretical and experimental physicists from Lawrence Berkeley National Laboratory, UC Berkeley and Wayne State University. The study of complex nuclear phenomena, such as neutrinos and the quark-gluon… read more about Simon Mak leads Duke team on DOE grant to develop Bayesian uncertainty quantification methods for nuclear science »

Interested in applying to Duke’s Master’s of Statistical Science  or Ph.D. program? Join our Program Directors, Dr. Funda Güneş and Dr. Merlise Clyde, to learn more about our world-class programs. Dr. Güneş, the Master's Program Director, will give an overview of the MSS program and the admissions process, followed by a Q&A session with the participants. Session One: Wednesday, October 25th, 8 am EDT Session Two: Thursday, October 26th, 1 pm EDT  Register here. Dr. Merlise Clyde, Director of Graduate… read more about Upcoming Graduate Program Info Sessions »

A number of Statistical Science/ISDS alums currently based in and around the Bay Area convened over a weekend in early September. Among the interactions and events was a lovely reunion gathering on September 2nd.  The alum reunion was coordinated by Viri Lourdes and Omar Aguilar, with the help of Raquel Prado and Liang Zhang. Viri and Omar generously hosted the event at their home in Portola Valley.   The fine September afternoon and evening saw much catching-up,  connecting and reconnecting among alums… read more about CA StatSci/ISDS Alums Meetup »