Faculty of Science

1.Optical Engineering (Doctor of Engineering)

Objective:This program is established to cultivate high-level academic innovative talents to engage in scientific research, high-tech development,and personnel training in the fields of Optical Engineering, Advanced Manufacturing, Information, New Materials, andLife Science, and etc., with excellent moral characters, solid academic foundation, comprehensive quality, good physical and mental health, international vision and strong innovation ability. Master the solid and broad basic theory and systematic in-depth specialized knowledge of Optical Engineering, have the ability to independently engage in scientific research, and make innovative achievements in science or specialized technology.

Curriculum:

Core courses: Physical Basisfor Laser Manufacturing,Advanced Optics and Photonics,Advanced Optical Spectroscopy, Statistical Optics, Mathematical Modeling.

Featured courses: Advanced Optical Fiber Manufacturing, Solid State Spectroscopy, Advanced Laser Manufacturing Experiments, Biophotonics, Nonlinear Optics, Optical Information Processing, Optoelectronics, Nano Optics and Technology, Photoelectric Information Detection, Laser Micro-Nano Processing Technology, Laser Material Processing and Metallurgy,.

Career: Graduates of this program can start a career inresearch institutes, universities, enterprises, and public institutions.

Optical Engineering (Master of Engineering)

Objective:

This program is established to cultivate high-level practical and innovative talents to engage in scientific research, high-tech development and support the works of Optical Engineering, Laser Advanced Manufacturing Science and Technology, Micro-nano Optics, Laser and Optoelectronic Technology, New Materials and Biomedicine. Talents should be equipped with good moral character, solid academic foundation, comprehensive quality, good physical and mental health, strong practical ability, and certain innovative ability, master solid basic theory and systematic knowledge of the Optical Engineering discipline, and have the ability to independently engage in scientific research and specialized technical work.

Curriculum:

Core courses: Physical Basis for Laser Manufacturing, Advanced Optics and Photonics, Advanced Optical Spectroscopy, Statistical Optics, Mathematical Modeling, Numerical Analysis, Data Analysis Methods and R software, Random Processes..

Featured courses: Advanced Fiber Manufacturing, Solid State Spectroscopy, Advanced Laser Manufacturing Experiments, Biophotonics, Nonlinear Optics, Optical Information Processing, Principles for Optical Fiber Communications, Optoelectronics, Nano Optics and Technology, Photoelectronic Information Detection, Laser Micro-Nano Processing Technology, Laser Material Processing and Metallurgy, Laser Safety and Protection, Laser Material Preparation Technology, Fiber Optics,Introduction to Laser Science and Engineering.

Career: Graduates of this program can start a career inenterprises and public institutions, research institutes, or in the fields of IT, communications technology, and high-tech industries.

2.Mathematics (Doctor of Science)

This program is established to cultivate high-level academic innovative talents to engage in Basic Research, Applied Basic Research, or Finance, Management, Mathematics Applications, and Education in Mathematics and related fields in the future. Talents should be equipped with excellent moral character, solid foundation, comprehensive quality, good physical and mental health, international visions and strong innovation ability.

Doctors of this program should master solid and broad basic theories and systematic in-depth knowledge in Mathematics; be familiar with the cutting-edge developments and trends in the relevant fields of Mathematics; master the necessary knowledge of relevant disciplines; have independent innovation ability in Mathematics and related disciplines and the ability to research and make creative achievements in mathematics and related fields. This program adopts a four-year school system.

Curriculum:

Core courses: Nonlinear Analysis, Harmonic Analysis, Introduction to Exchange Algebra, Topological Groups, Differential Equations and Dynamical Systems, Nonlinear Evolutionary Partial Differential Equations, Selected Lectures on Approximate Algorithms, Mathematical Modeling and Calculation, Selected Lectures on Topology, Selected Lectures on Partial Differential Equations, Selected Lectures on Algebraic Representation Theory, Bifurcation Theory and Application, Selected Lectures on Computational Mathematics.

Featured courses: Mathematical Modeling and Calculation, Selected Topics on Topology, Selected Partial Differential Equations, Selected Topics on Algebraic Representation Theory, Bifurcation Theory and Applications, Selected Lectures on Computational Mathematics.

Career:Students of this program can work in Universities and Research Institutes after graduation.

Mathematics (Master of Science)

Objective:This program is aimed at training high-level applied talents for educational departments, research institutes, and high-tech industries in fields of teaching, research, development, and management. The degree holder should master the solid basic theory and systematic specialized knowledge in Mathematics; be familiar with a certain research field and receive the necessary scientific research training; be equipped with the ability to conduct educational work, scientific research work, independent technical work or be able to solve practical problems with applied Mathematical knowledge. The main research directions are: 1. Basic Mathematics 2. Applied Mathematics 3. Operations Research and Cybernetics 4. Scientific Computing 5. Discrete Optimization.

Curriculum:

Core courses:Real Analysis, Matrix Analysis and Calculation, Applied functional Analysis, Numerical Solution of Differential Equations, Discrete Optimization, General Topology, Differential Geometry, Modern Partial Differential Equation Theory, Qualitative Theory of Ordinary Differential Equations, Algorithm Design and Analysis, Mathematical Model and Calculation, Finite Element Method, Wavelet Analysis, Introduction to Algebraic Topology, Physics and Partial Differential Equations, Bifurcation And Chaos Foundation, Linear Programming and Integer Programming, Data Mining and Machine Learning, Computer Programming, Statistical Learning Theory.

Featured courses: Real Analysis, Matrix Analysis and Calculation, Applied Functional Analysis.

Career:Graduates of this program can start a career in educational institutions, public administration, financial units, information technology, scientific research units, service industries, etc.

3.Statistics (Doctor of Science)

Objective:This program is established to cultivate students with a sincere, upstanding and rigorous academic style and the bravery to explore. The program aims to train thestudents as high-levelinnovative talents withsolid and broad basic theory and in-depth system expertise of statistics, and to develop their capabilities of making scientific research independently, applying statistics and mathematics knowledge to solve practical problems in other fields to get innovative achievements, and making international academic communications withglobalvision and awareness. The students are expected to be able to engage in theoretical research and education of statistics, or in applied research in the fields such as engineering, finance, management and information sciences.

Curriculum:

Core courses: Modern Statistics, Stochastic Limit Theory, Mathematical Finance, Modern Non-parametric Statistics.

Featured courses: Survival Analysis, Uncertainty Random Analysis and its Application, Statistical Quality Management

Career:Graduates of this program can work in Research Institutes, Educational Institutions, Banks, Government Statistical System and other enterprises and institutions.

Statistics: (Master of Science)

Objective:This program is aimed at cultivating high-level applied talents for government departments, educational departments, research institutes and multiple enterprises and public institutions in fields of teaching, researching, development and management.

Curriculum:

Core courses: Measure and Probability, Advanced Mathematical Statistics, Random Processes, Non-parametric Statistics, Multivariate Statistical Analysis, Modern Random Analysis and Its Applications, Linear Models, Reliability Mathematics.

Featured courses: Selected Lectures on Stochastic Mathematics, Mathematical Finance, Time Series Analysis, Experimental Design, Selected Lectures on Statistical Software, Markov Process, Data Mining and Machine Learning, Econometrics.

Career:Graduates of this program can start a career in government departments (statistics bureaus, etc.), financial departments as banks, insurance companies, securities companies, market survey companies, information consulting companies, quality inspection departments of industrial enterprises, and data analysis departments of large enterprises and institutions.

4.Physics (Doctor of Science)

Objectives:

This program is established to cultivate high-level innovative talents in the fields of Physics, New Materials, Information Science and other fields to engage in scientific research, high-tech development, teaching and scientific management in colleges and universities. Students should have good moral character, solid foundation, comprehensive quality, physical and mental health, international vision and strong innovation ability, master solid and broad basic theories, systematic and in-depth expertise, understand corresponding experimental methods and technologies in physics theory and its combination with applied technology, and have the ability to conduct scientific research independently and achieve innovative results.

Curriculum:

Core courses: Advanced Optics and Photonics, Advanced Optical Spectroscopy, Statistical Optics, Solid State Optical Properties, Materials Physics, Physical Basis of Material Properties, Condensed Matter Physics Theory, Mathematical Modeling, Advanced Mathematical Methods, Computational Crystallography,Diffraction Physics and High-resolution Electron Microscopy.

Featured courses: Tunable Laser Principles and Technology, Optoelectronic Materials and Devices, Modern Optical Design, Nonlinear Optics, Optical Information Processing, Optoelectronics, Nano Optics and Technology, Material Creep Behavior, Solid Material Structure Fundamentals, Experiment Methods of Solid-state Physics, Space Group Theory in Crystals, Electron Microscopic Analysis Methods for Solid Microstructures, Electron Diffraction and Diffraction Contrast Analysis, Cosmology, Topological Field Theory, Modern Material Analysis Experiments, Frontier Topics in Physics.

Career:Graduates of this program can start a career in educational institutions, research institutes, enterprises and public institutions.

Physics (Master of Science)

Objective:This program is established to cultivate high-level applied talents tobeengagedin scientific research, high-tech developing and supporting work in the fields of Theoretical Physics, Solid Microstructure and Performance, New Material Physics and Applications, Strong-field and Ultrafast Photonics, Micro-nano Optics and Information Technology, New Materials, Information Science and Technology. The talents should be equipped with excellent moral characters, rigorous and pragmatic academic style, good physical and mental health, strong practical ability, innovative spirit,and creative ability, master the solid basic theory and systematic expertise of the physics discipline, and have the ability to conduct scientific research and specialized technical work independently.

Curriculum:

Core courses: Advanced Optics and Photonics, Advanced Optical Spectroscopy, Statistical Optics, Physical Basis for Material Performance, Materials Physics, Introduction to Laser Science and Engineering, Advanced Solid State Physics, Computational Crystallography, Quantum Statistical Physics, Advanced Quantum Mechanics, Diffraction Physics and High-resolution Electron Microscopy.

Featured courses:Material Creep Behavior, Modern Optical Design, Gauge Field Theory, Quantum Field Theory, Group Theory, Experiment Methods of Solid-state Physics,Nonlinear Optics, Optical Information Processing, Principles for Optical Fiber Communication, Optoelectronics, Nano Optics and Technology,Topological Field Theory, Electron Diffraction and Diffraction Contrast Analysis,Modern Materials Analysis Experiments, Advanced Laser Manufacturing Experiments, Fundamentals for Solid Material Structures,Space Group Theory in Crystals, Electron Microanalysis Methods for Solid Microstructures.

Career:Graduates of this program can start a career in public management, educational institutions, research institutes, and enterprise.

5.Applied Statistics (Professional Master’s Degree)

Objective:This program is established to cultivate high-level specialized talents with good moral character, solid academic foundation, comprehensive quality and good mental and physical health to conduct statistics applied research and statistical analysis work for the government, enterprises, public institutions and scientific research departments.

Curriculum:

Core courses: Practical Regression Analysis, Multivariate Statistical Analysis, Applied Nonparametric Statistics, Sampling Techniques and Statistical Surveys, Time Series Analysis, Experimental Design, Econometrics, Applied Stochastic Processes, Basic Statistics of Big Data Analysis, Big Data Distributed Computing, and Non-Structured Big Data Analysis.

Featured courses: Introduction to Biostatistics, Reliability Statistics and Engineering, Insurance and Actuarial, Financial Statistics, Modern Management Statistics, Risk Management, Financial Engineering, Statistical Software, Big Data Analysis Computer Foundation, Big Data Mining and Machine Learning, and Big Data Analysis Statistics Modeling.

Career:Graduates of this program can start a career in fields of data analysis and processing, financial engineering, biopharmaceuticals, food safety, insurance actuarial, project risk assessment, statistical quality management, big data statistical analysis, economic statistics and government statistics.