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The Master of Statistics (MoS) program aims to produce practitioners who are knowledgeable in statistical methodologies and the practice of statistics in key areas. Likewise, it prepares students to meet the needs of industry and government for statistical personnel at the supervisory or higher levels. Students are provided with a sound understanding of statistical concepts and methods with a variety of applications.
The Master of Science in Statistics (MS Statistics) program prepares its graduates for advanced level capability in the profession and provides them the necessary foundation for high-quality Ph.D. work both in the theoretical and practical aspects.
The Professional Master in Data Science (Analytics) program is suited for professionals who have quantitative backgrounds and are hands-on in data processing and analysis or those who value the importance of empirical or evidenced-based decision-making. The program aims to equip professionals with a solid foundation in statistical science and proficiency in statistical machine learning to solve real-world problems.
Upon graduation from the program, students are expected to have strong technical aptitude and advanced skills in data science and analytics and evidence-based decision-making.
The Doctor of Philosophy in Statistics (PhD Statistics) program provides students with advanced proficiency in statistics to enable them to participate in the development of statistical methods. Emphasis is placed on independent research. Seminar and reading courses are incorporated into the curriculum in order to meet the individual requirements of the student's program of research.
Non-MS Statistics graduates of the School may be required to take additional mathematics and statistics courses before admission to the program. Additional requirements shall be determined by the Graduate Committee of the School.
The program aims to produce PhD graduates equipped with a good scientific mindset, with adequate technical skills, and a professional perspective of expanding the science of data, with data as carriers of information.
See more information about our graduate programs