Program Overview

Introduction to the Master of Applied Statistics (MAS) Program

The Master of Applied Statistics (MAS) program at the University of Science and Technology of China is designed to meet the urgent needs of modern statistical work. The program aims to cultivate high-level, compound, and applied statistical talents who can work in government statistics, departmental statistics, and social statistics.

Program Objectives

The program focuses on training students to have a solid foundation in statistical theory and methodology, as well as the ability to apply statistical knowledge to solve practical problems. The program also emphasizes the development of students' ability to collect, process, and analyze data, as well as their ability to think critically and solve problems independently.

Program Structure

The program is designed to be completed in three years, with a maximum of five years. The program consists of a combination of coursework and research, with a focus on applied statistics.

Admission Requirements

• Applicants must have a bachelor's degree in a relevant field.
• Applicants must have a strong foundation in mathematics and statistics.
• Applicants must have the ability to collect, process, and analyze data, as well as the ability to think critically and solve problems independently.

Tuition Fees

The tuition fee for the program is 120,000 RMB per year, with a total of 360,000 RMB for the entire program.

Research Areas

The program focuses on the following research areas:

• Big data analysis
• Financial statistics and risk management

Application Procedure

• Online application: October 6-27, 2025
• Entrance examination: December 20-21, 2025
• Interview: To be determined

Contact Information

For more information, please contact:

• Address: University of Science and Technology of China, Hefei, Anhui, China
• Phone:
• Email:

Conclusion

The Master of Applied Statistics (MAS) program at the University of Science and Technology of China is a comprehensive program that provides students with a solid foundation in statistical theory and methodology, as well as the ability to apply statistical knowledge to solve practical problems. The program is designed to meet the urgent needs of modern statistical work and is an excellent choice for students who want to pursue a career in statistics.