Industry Alliance Program
The Berkeley Statistics Industry Alliance Program establishes strong connections with companies engaged in statistical research, data analysis, and machine learning. The program connects its industry members to state-of-the-art research and some of the top talent in statistics. The Statistics Department thrives on the exposure to the newest problems and values the exciting career opportunities our allies provide our students.
You can contact the program directors by email at
iap [at] stat [dot] berkeley [dot] edu
or via the department's main office
367 Evans Hall
Department of Statistics
Berkeley, CA 94720-3860
Who Are We?
In 1938 Jerzy Neyman, one of the intellectual giants of the twentieth century, established at Berkeley one of the first centers in the country for statistical research. Since its inception, graduates and faculty of Berkeley have shaped the foundations of statistics. Past faculty include such luminaries as David Blackwell, Leo Breiman, David Freedman, Lucien LeCam, and Erich Lehmann. We currently have over 30 active research faculty in the department, four of whom are members of the National Academy of Sciences.
The department is consistently ranked as one of the two premier graduate programs in statistics nationally. The department has an undergraduate, a master's, and a PhD program, with about 100 BAs, 20 MAs and 8 PhDs awarded each year.
Departmental research interests are wide-ranging, with eighteen of our faculty holding joint positions in other departments such as Biostatistics, Demography, Electrical Engineering and Computer Sciences, Integrative Biology, and Mathematics. Faculty members are frequently involved with research collaborations throughout campus, from small designed studies to large-scale data analysis projects, including ENCODE, the Cancer Genome Atlas Project, and the Cyber Discovery Initiative (CDI). Many faculty are also actively engaged in consulting with outside industries, as well as serving as experts for legal proceedings and policy makers.
Prominent areas of research interest in the department include:
- Bayesian Inference
- Bioinformatics and Computational Biology
- Causal and graphical models
- Financial Modeling
- High dimensional data
- Information Theory
- Machine learning
- Probability Theory
- Time Series and Survival Analysis
Browse our research webpage for further details about research within our department.