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 |
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For those who lack Specialized basic Courses, 2-3 Specialized basic Courses are required, and are counted as Non-Degree Courses |
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Optional courses, Non-Degree Courses |
||
Practice |
≥4 credits |
Internshipandpracticaltraining,4 credits(1 Credit per month) |
Academic Activities |
≥12 credits |
Literature reading and thesis proposal, 1 credit |
progress report, 1 credit |
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Academic thesis, 10 credits |
V. Curriculum Provision and Credit Allocation
Classification Courses |
Course Code |
Course Name |
Credit Hours |
Semester |
Teaching units |
Notes |
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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 |
|
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 |
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 |
|||||||
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.