Welcome to Statistics and Actuarial Science

The Department of Statistics and Actuarial Science is a top-tier academic unit among statistical and actuarial science globally. Our community is engaged in topics such as actuarial science, biostatistics, data science, quantitative finance, statistics, & statistics-computing. Our department is home to 70 full-time faculty researching diverse and exciting areas, over 2000 undergraduate students from around the world, and approximately 200 graduate students in master, doctoral, and professional programs.

News

Ali Ghodsi, professor in the Department of Statistics and Actuarial Science, has co-authored a new textbook, Elements of Deep Learning.

The book offers a comprehensive introduction to deep learning and neural networks, combining mathematical rigor with hands-on practice. Covering both foundational concepts and emerging topics, the text explores areas including convolutional neural networks, Transformers, large language models, diffusion models, graph neural networks, reinforcement learning, and more.

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