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PhD in

Statistics and Data Science

Overview

Statistics and Data Science encompasses the art of modelling, summarizing, and dissecting data, utilizing the powers of mathematics and computational tools to make informed predictions and decisions. Our Doctor of Philosophy (PhD) program in Statistics and Data Science has been meticulously crafted to equip students with a well-rounded education in the theories and methodologies of these disciplines, enabling them to address challenges across various domains.

This PhD program empowers students to engage in pioneering research, whether in the realms of theory, methodology, or practical applications. It fosters the development of advanced research and computational skills, positioning our graduates to excel in competitive roles within academic, governmental, and corporate settings.

  • icon Full time Mode
  • icon 60 Credits
  • icon On Campus Location

Welcome to the Department of Statistics and Data Science at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Our department uniquely integrates rigorous statistical foundations with cutting-edge artificial intelligence. At MBZUAI, our faculty and researchers emphasize the critical role of statistical theory and modern data science in ensuring reliable and effective AI solutions. We equip our students with the expertise to tackle real-world challenges, including efficient data handling, uncertainty quantification, and responsible decision-making.

As AI increasingly transforms industries and society, statistics plays a pivotal role in guiding the responsible and informed development of these technologies. Our department leads the development of innovative AI methods, advancing their reliability and extending their applications to diverse domains such as life sciences, social sciences, healthcare, economics, and environmental studies. We actively explore how statistical approaches can enhance AI’s potential, ensuring trustworthy and impactful solutions across these critical areas.

Join us at MBZUAI in advancing the critical synergy between statistics, data science, and artificial intelligence.

Mladen Kolar

Professor, Department of Statistics and Data Science

Semester 1

STADS801 - Advanced Probability Theory and Stochastic Processes (4 CR)
STADS802 - Advanced Mathematical Statistics (4 CR)
+ 1 Elective (4 CR)

Semester 2

STADS803 - Statistical Learning (4 CR)
STADS804 - Computation in the Era of Big Data (4 CR)
+ 1 Elective (4 CR)

Summer

INT899 (2)

Semester 3

RES899 (2)
STADS899 (4)

Semester 4-8

STADS899 (28)

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