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Applied Statistics

  2019-07-11  访问:


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The purpose of the Applied Statistics professional Master Degree is to meet the urgent need of Applied Statistics professionals in the development of modern statistics in China, perfect the training system of Applied Statistics professionals, innovate the training mode of Applied Statistics professionals, and improve the quality of Applied Statistics professionals. This degree is based on modern statistical theory and advanced statistical analysis methods and techniques. It carries out problem and data-driven applied statistical research, focuses on breakthroughs in frontier disciplines and innovations in interdisciplinary applications, and provides theoretical methods and technical support for regional and industrial economic development, so as to cultivate application-oriented and compound high-level professionals who engaged in statistical consulting, data analysis, decision-making support and information management fields.

1.  Cultivation Purpose

This degree is based on the demand for talents with statistical background from the national and Sichuan industrial distribution. It aims to cultivate high-level applied talents who love the Communist Party of China, socialism, all-round development of morality, intelligence, physique, beauty and labor, and have rigorous and realistic scientific attitude and innovative consciousness. This type of talent is mainly engaged in data acquisition, collation, analysis, statistical modeling, inference and prediction in government, enterprises, schools, consulting and scientific research institutions.

2.  Research Directions

Applied statistics is a subject with strong applicability. In the training of postgraduates, emphasis should be laid on the application and reality, the frontier and innovation of the subject.

1) Data Analysis and Processing

This direction mainly focuses on data acquisition, statistics, denoising and data fusion technology from different sources and analysis and processing technology in financial and petroleum industries, and explores the objective laws contained in data through data mining methods such as neural network and in-depth learning, so as to provide technical support for relevant scientific evaluation and optimal decision-making

2) Uncertainty Prediction and Decision-making

Combining probability theory, statistics, operations research and fuzzy mathematics, based on data-driven, this direction focuses on uncertain factors such as randomness and fuzziness in oil, natural gas, biomedicine and other socio-economic realistic problems; constructs models of diagnosis, prediction, decision-making and control analysis such as grey and fuzziness, and also provides their solutions and technical support for uncertain and risky decision-making.

3) Petroleum Statistics and Risk Management

By using linear and non-linear statistical methods, the problems related to geological statistics, investment risk control, fracturing data monitoring, oil field development data monitoring and early warning, and oil field development planning under stochastic oil price are solved. It integrates data mining of oilfield development, increasing production and efficiency of oilfield, risk management, stochastic dynamic analysis and stochastic optimization, and forms a unique research field of petroleum statistics and risk management.

3. Learning Style and Academic System

Full-time and part-time learning are adopted. Full-time learning system is 3 years; part-time learning system is 3-5 years. The qualified graduates can graduate in 2 years. Within the prescribed length of study, students must complete the total credits prescribed in the training program, complete master thesis, and defend their thesis; in this way they can graduate and obtain their degrees.

4. Cultivation Mode

The dual advisory system is adopted in the cultivation of postgraduates with master's degree in this major. Dual advisory system refers to one in-school advisor and one out-of-school social practice department advisor, which is mainly guided by in-school advisor, and outside-school advisor mainly participates in the guidance of practice process, project research, papers and so on.

Credit system is adopted in curriculum learning. The cultivation of students includes course learning, practical teaching, scientific research training and research of master's degree thesis. Course learning is conducted by centralized teaching and case study; practice teaching is encouraged to be completed in enterprises and school-enterprise cooperative bases, which can be carried out by combining centralized practice with sectional practice; scientific research training and master's degree thesis are guided by advisors, participating in scientific research projects and completing corresponding papers. The main training methods are as follows:

(1) Implementing the advisory system. The instructor should formulate an operable personal training plan for postgraduates.

(2) Adhere to the principle of systematic learning. Course learning combines students'self-study, social research, teaching practice, subject research and thesis writing, and pays attention to the cultivation of ability and quality.

(3) It is necessary to strengthen the cultivation and training of postgraduates'self-study ability, expression ability and writing ability. Students are required to read intensively or select the classical works and professional documents of Applied Statistics at different levels at home and abroad.

(4) Actively participate in scientific research and social practice activities. Under the guidance of advisors, students participate in research and social practice activities on related topics, understand the procedures of scientific research, master commonly used methods of scientific research, exercise the ability of scientific research and thesis writing, and accumulate practice teaching time of no less than half a year.

(5) Strict assessment, establish and improve the elimination system to ensure the quality of postgraduate training.

5. Basic Requirements

The basic requirements for students to obtain master's degree in this subject are as follows:

1) Basic Knowledge and Skills

 (1) Master the basic theory and method of statistics, have the knowledge and skills of data acquisition, collation, processing, analysis and application development;

(2) To be engaged in mathematics, computer, foreign language, internet and other related knowledge necessary for professional research institutes;

(3) Master the commonly used statistical software, and be skilled in the application of computer processing and analysis of data;

(4) Have abundant application background knowledge.

2) Basic Quality

(1) Ideological and moral quality. Firm the correct political direction, establish the correct world outlook, outlook on life and values, abide by discipline and law, be honest and enterprising, and have team consciousness;

(2) Scientific and cultural quality. Skilled in a foreign language, with strong written and oral expression skills; with a broader knowledge of humanities; skilled in information collection, analysis, processing and application capabilities with computer;

(3) Professional quality. Have a solid theoretical foundation and professional knowledge of statistics, master the development trend and frontier knowledge of applied statistics, understand domestic and foreign oil statistics, risk management, Internet big data industry, uncertainty decision-making status, master skills and tools, by making use of statistical methods for problem analysis, and use the professional knowledge learned to solve problems.

(4) Physical and mental quality. Having good living habits, healthy body and good psychological quality.

3) Basic Academic Ability

 (1) The ability to acquire knowledge. Develop a good habit of self-learning, be able to use modern science and technology and information means to effectively acquire new knowledge, with the ability of self-learning knowledge, self-digestion knowledge, self-renewal knowledge;

 (2) Ability to apply knowledge. With the ability of insighting, refining and comprehensively applying the basic theory and professional knowledge of the specialty to research and solve problems, it can independently engage in statistical investigation, consultation, data analysis, decision support and other applied statistical work, and information management and information processing, in letters in state organs, party and mass organizations, enterprises and institutions, social organizations and scientific research and teaching departments.

 (3) The ability of innovative thinking. Develop the habit of thinking independently and innovatively, possess enterprising consciousness and exploratory spirit, and possess good innovative ability, entrepreneurship ability and scientific research ability.

(4) The ability of intercultural communication. Skilled in a foreign language, can read, speak, listen, write, translate and other cross-cultural exchanges.

 (5) The ability to independently conduct scientific research. Be able to undertake or participate in research projects sponsored by advisors or other teachers under the guidance of advisors; be able to actively participate in academic activities of the profession in order to enhance academic exchange ability; and be able to publish academic papers related to the profession in public journals.

4) Basic Requirements for Master's Degree Thesis of Applied Statistics

 (1) Thesis topics selection and opening report requirements. On the basis of consulting a large amount of literature about the subject and related disciplines, postgraduates must determine the topic of their papers. Only with the consent of their advisors, can they write the opening report of their papers according to the requirements of the norms. The opening report should explain the purpose and significance of the topic, the current research situation in related fields at home and abroad, the problems to be solved, the research plan and the progress of the research.

 (2) Paper writing requirements. The writing of master's thesis should be completed independently by the student himself under the guidance of his advisor. Papers need to be innovative to some degree. The body of the paper should be at least 30,000 words, and the abstract of the paper should be no less than 500 words, accompanied by an English abstract.

 (3) Requirements for thesis defense. Postgraduates can obtain the required credits after completing the courses prescribed in the training program of their specialty in an all-round way. After completing the tasks of research practice, teaching practice and scientific research practice, and completing the writing of master's degree thesis, the application for thesis defense with the consent of their advisors can be submitted. Colleges (institutes) are responsible for organizing thesis defense for graduate students.

 (4) Degree application conditions. It shall be implemented in accordance with the Rules for the Granting of Master's Degrees of Southwest Petroleum University.

(5) Degree award. According to the requirements of the training program, postgraduates complete all teaching links, complete the required credits, and pass the thesis defense, and are allowed to graduate. The Master's degree is awarded with the approval of the Academic Degree Evaluation Committee.

6. Curriculum System and Curriculum Design

The curriculum system of this specialty consists of four kinds of courses: basic quality course, basic theory course, professional course, compulsory link and practical teaching course.

    1) Basic Theory Course

(1) Public basic theory course (9 credits)

Take five courses. See the list of curriculum settings and training requirements for details.

(2) Major basic theory course (6 credits)

Take three courses. See the list of curriculum settings and training requirements for details.

2) Major Core Course (5 credits)

Take two courses. See the list of curriculum settings and training requirements for details.

3) Major Elective Course (4 credits)

Take at least two courses. See the list of curriculum settings and training requirements for details.

4) Compulsory Links and Practical Teaching

Compulsory links shall be implemented in accordance with the Regulations on Compulsory Links for Graduate Students of Southwest Petroleum University, and practical teaching shall be carried out in accordance with the Practical Teaching Measures for Graduate Students with Professional Degrees of Southwest Petroleum University.

If the undergraduate is a non-mathematics or statistics major, students in this major need to take two courses, probability theory and mathematical statistics, and applied statistics.

7. Degree Standard and Degree Award

Master's dissertation defense and degree award shall be subject to the system of defense application and degree application and examination. Master students can apply for the corresponding Master's degree by replying to their dissertations after completing the required credits and meeting the required academic achievement requirements at least two years of obtaining their academic status.

The evaluation of master's degree theses is conducted anonymously by two associate professors (professors) or experts with equivalent positions. If the two reviewers'opinions are negative, the application is invalid and can not hold a reply, and the application will be re-applied after the revision of the paper; if one reviewer's opinions are negative, another reviewer may be recruited. If the additional reviewer's opinions are negative, the application will be invalid, and the application will not be able to participate in the reply, and re-apply after the revision of the paper.

The Dissertation Defense Committee for master's degree consists of five associate professors or above. The Responding Committee consists of a director and a secretary. The members of the group are approved by the Academy Degree Evaluation Subcommittee. The Respondent Committee makes a decision by secret ballot on whether to agree to the adoption of the reply and whether to agree to graduation according to the situation of master's course study and dissertation reply.If the resolution is adopted with the consent of more than one-half of the reply committee, the resolution shall be signed by the members of the reply committee before it becomes effective. According to the academic level of postgraduate dissertations, recommendation is made on whether to grant a master's degree by secret ballot. Only with the consent of more than two-thirds of all the members of the Respondent Committee can it be adopted and signed by the members of the Respondent Committee.In the case that the Respondent Committee agrees to the postgraduate's defence and grants the master's degree instead of graduation, the Respondent Committee makes a clear decision on whether to agree to the postgraduate's revision of the thesis within one year and to retell once (only once).

When making a recommendation for granting a master's degree, the academic degree evaluation Sub-Committee shall have more than two-thirds of all members present at the meeting as valid. The applicant's thesis defense procedure shall be thoroughly examined, whether there are any academic ethics violations, and the opinions of the defense committee shall be submitted by secret ballot. More than one-half of the members agreed to adopt it.For those who pass the examination, the sub-committee shall make recommendations to the academic degree evaluation committee of the university to award a list of persons with master's degree. For those who fail to pass the examination, the sub-committee may make a clear decision: to allow the master's students to revise their papers and apply for a defense again within one year; or not to recommend the award of a degree.

Postgraduates who graduate early should submit their dissertation defense and degree application time, carry out the prescribed examination and approval procedures, and have the following conditions: firm and correct political direction, love the motherland, abide by the law, have good moral quality, and have not been warned of above punishment during the school period;Excellent performance during the postgraduate period; strong scientific research ability, in the application for defense in the field of research in the discipline has made certain scientific research results, postgraduates should be the first author (or mentor as the first author, postgraduate as the second author) in the core journal and above at least published one article signed Southwest Petroleum University. Master candidates who have studied and studied academic papers related to their dissertations can apply for early graduation if they meet the requirements.

 

 

 

 

 

 

 

 

 

 

Course Setting for Master's Degree Program In Applied Statistics

Course

Category

Course

Code

Course

Name

Course

Attribute

Credit   Hours

Credits

Terms

Note

III

Basic   Theoretical Course

Public basic theory course

S2222101

Research   on the Theory and Practice of Socialism with Chinese Characteristics

Public

Courses

36

2

 

 

Compulsory

S2222102

Dialectics   Of Nature

Public

Courses

18

1

 

 

Z3333101

Professional   Master's English (1 Foreign Language Major)

Public

Courses

54

3

 

 

Z3333102

Information   Retrieval and Scientific Paper Writing

Public

Courses

18

1

 

 

Z3333103

Intellectual   Property Rights

Public

Courses

18

1

 

 

Z3333105

Engineering   Ethics

Public

Courses

18

1

 

 

Major basic theory course

Z0252201

Advanced   Mathematical Statistics

Major   Basic

Courses

36

2

 

 

 

Compulsory

S0701402

Time   Series Analysis

Major   Basic

Courses

36

2

 

 

S0701403

Multivariate   Statistical Analysis

Major   Basic

Courses

36

2

 

 

Major   Core Courses

Z0252301

Big   Data Foundation and Application

Major   Core

Courses

54

3

 

 

Compulsory

Z0252302

Statistical   Prediction and Decision Making

Major   Core

Courses

36

2

 

 

 

 

Major

Elective

Course

 

 

 

 

 

 

 

 

 

 

 

 

Major

Elective

Course

 

S0701404

Statistical   Modeling and R Language

Major   Core

Courses

36

2

 

 

 

Compulsory

Minimum   2 Courses

Z0252401

Sampling   Technique and Application

Major   Core

Courses

36

2

 

 

Z0252402

Nonparametric   Statistics

Major   Core

Courses

36

2

 

 

Z0252403

Nonlinear   Regression Analysis

Major   Core

Major   Core

2

 

 

Z0252404

Machine   Learning

Major   Core

Courses

36

2

 

 

S0701203

Random   Process

Major   Core

Courses

36

2

 

 

S2222208

Fuzzy   Mathematics

Major   Core

Courses

36

2

 

 

S1201406

Econometrics

Major   Core

Courses

36

2

 

 

Z0252405

Statistical   Practice and Case Analysis

Major   Core

Courses

36

2

 

 

S0820418

Petroleum   Engineering Risk Management

Major   Core

Courses

32

2

 

 

S0820421

Petroleum   Strategy and Management

Major   Core

Courses

32

2

 

 

S0820420

Petroleum   Engineering Project Management

Major   Core

Courses

36

2

 

 

 

S0820418

 

Enterprise   Legal Risk Management

Public

Courses

36

2

 

 

Compulsory

Part

 

Social   Practice

 

 

 

 

 

 

CompulsoryCollege   Assessment

 

Literature   Review

 

 

 

 

 

 

 

Academic   Report

 

 

 

 

 

 

 

Research   Assistantship and Teaching Assistantship

 

 

 

 

 

 

Supplementary   Undergraduate Major Courses

 

Probability   Theory and Mathematical Statistics

 

 

 

 

 

 

Non-Credit

(College   Assessment

 

Applied   Statistics

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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