Statistics and Data Science
Position Details (PhD Program)
TheStatistics and Data Science program fromMohamed bin Zayed University of Artificial Intelligencehas 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.
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.
TheStatistics and Data Science program from Mohamed bin Zayed University of Artificial Intelligence 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.
Program Learning Outcomes
- Apply advanced statistical models to complex datasets and address challenges in diverse fields.
- Communicate complex statistical and data science concepts and findings to both technical and non-technical audiences through written reports, articles, presentations, and data visualization.
- Formulate and use models of data analysis to provide innovative and sustainable solutions to business-related challenges.
- Develop and implement algorithms and computational methods tailored for large-scale data analysis.
- Leverage modern computational tools, software, and programming languages pertinent to data science.
- Conduct original, ethical, trustworthy, and innovative research in statistics and data science, contributing to the advancement of knowledge in the field.
Visa Opportunities for Graduates
Outstanding graduates from MBZUAI are eligible to apply for a 10-year golden visa in UAE, which will enable themselves and their family members to work and live in UAE with corresponding benefits.
Courses include:
- Advanced Mathematical Statistics
- Statistical Learning
- Computation in the Era of Big Data
- Advanced Machine Learning
- Advanced Topics in Continuous Optimization
- Advanced Topics in Reinforcement Learning
- Federated Learning