1. Introduction to the discipline
Complex Systems and Data Science is based on big data science methods such as data standardization, data mining, and data visualization and supported by a new generation of information technology such as mathematical modeling, scientific computing, big data analysis, and artificial intelligence. It’s an interdiscipline which is full of related theories, techniques, and methods for complex systems such as, material genomes, soft matter systems, life and health, oceans, and the environment. Its setup helps scientific workers extract and analyze scientific data of large-capacity and complex sources. The visualization technology of big data can help researchers intuitively understand and interpret research content.

This subject is supported by mathematics, physics, chemistry, and biology, relying on scientific computing, big data, and artificial intelligence as technical support and the latest research achievements in Mathematics, Statistics, Biomedicine, Soft Matter Science, Physical Materials, Life and Health, Marine and Environment, focusing on solving the complex disciplinary challenges in the 21st century.

2. Introduction to research direction
(1) Data scientific methods and theories：Research on big data mining and analysis, machine learning and artificial intelligence, nonlinear science and complex systems；
(2) Biomedical and big data Analysis: Analysis on distributed generation and high integration of biological data, real-time analysis and clinical processing of biomedical data, personalized analysis, prediction and preservation of biomedical data, research on macrogenomic data of human and environmental microbial communities and sustainable utilization of coastal biological resources；
(3) Material genome and material data:  Research on material genome and material data, soft matter system and big data, and precise design of new active molecules by molecular simulation；
(4) Economic and financial data: Research on economic and financial market modeling, financial derivatives and risk management, intelligent financial regulation and financial big data and quantitative investment；

3. Credit Setting:
Total Credits: ≥24,  Common Compulsory Credits:=6, Professional Compulsory Credits:=7; Optional Credits: ≥11

4. Training Objectives:
Students are trained in this discipline: love the socialist motherland, adhere to the Four Cardinal Principles, and master the basic principles of Marxism-Leninism, Mao Zedong Thought, Deng Xiaoping Theory, and the important thinking of Three Represents; have good ideological and moral qualities, social ethics and professional ethics, and have ambition and high sense of responsibility for the prosperous and national prosperity of China; form good studying habits of integrating theory with practice, actively participate in social practice, and posses the spirit of seeking truth, cooperation and innovation.

This discipline aims to cultivate high-level compound talents with moral, intellectual, physical all-round development, reasonable knowledge structure, and greater capabilities in innovation and analysis and solution of problems. It also requires to master the basic theory, advanced technology and methods,as well as the latest developments in this field here and abroad, and have the ability to use the theory to solve practical technical problems independently and to innovate and engage in scientific research, teaching and engineering management.

5. Requirements of Scientific Research Ability and Quality:  

(1) Master basic theory and systematicexpertise of the discipline;

(2) Ability to read Chinese and foreigndocuments and write scientific papers in both Chinese and foreign languages;

(3) Ability of experimental design,experimental observation, recording, experimental result analysis, finding andsolving problems;

(4) Ability to use computers for text, dataprocessing and document retrieval;

(5) Ability to engage in scientific research,teaching work, or independently take on special technical work and organizationand management, and have the spirit of teamwork.

6. Curriculum Setting
Professional compulsory courses include Professional English for complex systems and data science, Mathematical Modeling and Data Science, Introduction to Complex Systems, etc.

Professional optional courses include Advanced Mathematical Statistics, Machine Learning, Advanced Econometrics, Introduction to Biomedical Engineering, Medical Statistics, Instrument Analysis and Material Research Methods, Chemical Software and Applications, Surface and Interface of Materials, Multivariate Statistical Analysis, Synthesis and Preparation of Inorganic Materials, Novel Semiconductors Materials, Paper Writing and Patent Applications, Nanotechnology, Solid-Physics, Microbiology, Introduction to Biomolecular Modeling, Polymer Chemistry, Macromolecular Chemistry, Macromolecular Structure and Diffraction, Material Science and Technology Frontier, Polymer Structure and Performance, Matrix Theory, Differential Dynamic System Foundation, Stability Theory, Group Theory, Density Functional Theory, Advanced Quantum Mechanics, etc.

7. Degree Thesis
Graduate students will qualify for the degree (graduation) thesis through the mid-term assessment.
(1) The dissertation is an important part of postgraduate education, and it also reflects the quality and level of graduate education. Undergraduate graduate students should determine their research under the guidance of their tutors and select the topic selection of dissertation from the basic research topic or the important application topic based on the research projects undertaken by the tutors.
(2) The duration of dissertation work is not less than one year. The graduate degree (graduation) thesis should be completed independently under the guidance of the tutor. See the writing requirements of the thesis in Shenzhen University Master Postgraduate's Degree Thesis Detailed Codes. The academic norm of academic degree (graduation) thesis is committed by the graduate student, and the tutor is responsible for it. The original experimental records, spectrogram and analysis result should be standardized and kept by the research groups.
(3) Graduate students should complete the midterm examination of the paper at the end of the fourth semester, and make a written paper report, which is reviewed by the postgraduate guidance group. If the student doesn’t finish as the requirement, he/she will be warned and submitted to the superior management department until the graduation postponement.
(4) Complete the tasks stipulated in this plan on time. At least 1 academic papers are published in the subject field with the first author and the first signature unit ("Shenzhen University") or the supervisor is the first author and the student as the second. No infringement of the copyright of others; no publication of articles, works and translations with serious scientific errors.
(5) The review and defense process of the thesis shall be implemented according to the procedures stipulated in the relevant documents of the graduate school. If the student fails in the defense, he/she should apply again after 6 months. The degree applications and awards shall be handled with reference to the Provisional Implementation of Degrees Regulation of the People's Republic of China and the Implementation Measures of Degree Regulations of Shenzhen University and other relevant documents.