Master Program of Applied Statistics

I. Educational Objectives

1. Graduates should have rigorous style of study, innovation spirit of science, solid theoretical basis, and broad specialized knowledge in the field of Applied statistics, and certain ability to undertake independent scientific research.

2.They should have a deep understanding of research directions, and fully grasp the research and development trend of modern applied statistics. They should be able to effectively carry out the research of statistical theory and application, and have the stronger ability of data acquisition, analysis, processing, statistical modeling and software development, and statistical computing and inference.

3. They can skillfully use a foreign language, to read the materials in the foreign language in this field, and have certain ability to communicate and write research paper in a foreign language.

4. They should competent for scientific research, teaching, development, consulting, management etc, in the fields related to Applied statistics.

II. Main Research Areas

1. Statistical Modeling and Data Mining

2. Information Statistics

3. Economic and Financial Statistical Analysis

4. Biological and Medical Statistical Analysis

5. Social and Management Statistical Analysis

6. Statistical Computing and Software

III. The Length of Schooling and Training Mode

2 years Full-time non-directional/sponsored training program.

IV. Credit Requirement and Allocation

Total Credits	≥38 credits
Courses	≥22 credits	General Foundation Courses for Degree≥6 credits
		Specialized courses for Degree≥12 credits
		For those who lack Specialized basic Courses, 2-3 Specialized basic Courses are required, and are counted as Non-Degree Courses
		Optional courses, Non-Degree Courses
Practice	≥4 credits	Internship and practical training,4 credits（1 Credit per month）
Academic Activities	≥12 credits	Literature reading and thesis proposal, 1 credit
		progress report, 1 credit
		Academic thesis, 10 credits

V. Curriculum Provision and Credit Allocation

Classification Courses		Course Code	Course Name	Credit Hours	Credits	Semester	Teaching units	Notes
Degree Courses	General Foundation Courses	408.601	Theory and Practice of Scientific Socialism with Characteristics	24	1	1	Schoolof Humanities
		408.602	Natural Dialectics	32	2	1	Schoolof Humanities
		411.500	First Foreign Language(English)	32	2	1	School of Foreign Languages
			Humanistic curriculum		1
	Required Course	011.545	Multivariate statistical analysis	64	4	1	Schoolof Mathematics	Required
	Required Course	011.546	Statistical method and analysis of data modeling	64	4	2	Schoolof Mathematics	Required
	Electives	011.536	Random process	64	4	1	Schoolof Mathematics
		011.527	Time series analysis	64	4	1	Schoolof Mathematics
		011.550	Bayesian Statistics	64	4	1	Schoolof Mathematics
		011.562	Financial analysis and risk management	64	4	2	Schoolof Mathematics
		011.560	Statistical simulation and statistics software	64	4	2	Schoolof Mathematics
			Other related courses
Non- Degree Courses	Supplemen-tary		Probability theory
Non- Degree Courses	Supplemen-tary		Mathematical statistics

VI. Internship and Practical Training

Establishing practice base, to strengthen practice training.

Practical Training internship, including reports: each student should submit his/her internship plan, and go to some enterprise for practice, then write a final practice report based on his/her practice activity. He/She will earn the required internship credits after he/she passes the evaluation of the head of internship unit(1 credit per month).

VII. Degree Thesis

Meet the relevant requirements of the university.

VIII. Degree Awarding

Students who earn required credits and meet the relevant requirements are allowed to graduate, and issued graduation certificate.

Students who meet graduation requirements and pass his/her thesis defense will be awarded the degree of the Master of Applied Statistics by Huazhong University of Science and Technology, after his/her thesis has been reviewed by the academic degrees committee of the university.