Two core courses
Students will be trained in two core courses, namely introduction to statistical methods and statistical practice, and then applied to six optional modules.
You can choose six modules.
Optional modules include: advanced statistical design, medical statistics, Bayesian prediction and advanced topic intervention and data mining.
Flexible research projects
Through the independent study of mathematics and statistics, more extensive and in-depth research and practice are carried out. Students will focus on analysis, applied mathematics, numerical analysis and probability statistics, and the whole project is very flexible.
World-class researchers
Students will keep close contact with world-class researchers from the beginning to help you make wise decisions on future research topics.
Graduates are highly valued.
Graduates are highly valued by employers and laboratories in industries, enterprises or government agencies, and you will have the conditions to continue to explore further in your academic career.
Strict application requirements
Application requirements: the average score is above 80; Relevant professional background; The total score of IELTS is not less than 6.5, and the single item is not less than 6.5 (statistics-MSC); The average score is above 85 points; Relevant professional background; The total score of IELTS is not less than 6.5, and the single item is not less than 6.5 (Mathematics and Statistics -MSC).