Program Description

The English-taught Master of Engineering (M.E.) in Information and Communication Engineering program extensively enrolls and cultivates worldwide master’s degree students under the primary discipline Information and Communication Engineering, including the two sub-disciplines of Communication and Information Systems, Signal and Information Processing. 

The main research themes of the discipline relates to the access, processing, transmission, and control of information in various communication and information systems. The research fields cover wireless communication and remote monitoring, network communication and sensor network, internet of things, coding and information security, image processing and pattern recognition. 

The program has endeavored in cultivating high-level international talents with comprehensive capability in Communication and Information Systems, Signal and Information Processing.

Study Duration, Credits and Degree Awarding

In line with the Chinese university system, Masters degrees in Donghua University last for two years and a half and the school starts from fall. A typical workload of the first year full-time study is a set of courses worth a total of 34 credits, composed of 22 compulsory and 12 elective credits. From the second year, students will undertake a research project and write a dissertation. 

Students who are academically qualified, successfully fulfill 34 credits within designated years, accomplish the dissertation, pass the thesis defense and finally be approved by Donghua University Academic Degree Evaluation Committee will be awarded Master Degree in Engineering of Donghua University.

Curriculum

Compulsory Courses (22 credits)

• Modern mathematical methods (3 credits) 
• Modern signal processing (3 credits) 
• Information theory and coding (3 credits) 
• Image communication and information processing (3 credits) 
• Introduction to China (2 credits) 
• Chinese Language (8 credits) 

Elective Courses (at least 4 from the courses below)

• Modern communication technology (3 credits)
• Embedded systems: theory and application (3 credits) 
• Information security of networks(3 credits) 
• Data Mining (3 credits) 
• Internet of Things (3 credits) 
• Pattern Recognition: Theory and Technology (3 credits) 

Course Description

Modern Mathematical Methods

Introduction to Modern Mathematics presents a collection of expository introductions to, and surveys of, several active and important topics in mathematics. This course focuses on the general theoretical framework and basic method of modeling and simulation, and focuses on several classical methods and modern methods based on system identification and modeling methods. Through the analysis of typical cases, the idea and method of system simulation are expounded. It is helpful to understand the basic theory of system simulation, the representative of the domestic and international research, and to lay the foundation for the study of the students in this direction. The objective is to make the students have a comprehensive understanding of modern mathematics, which is a specific and clear understanding of the application of modern mathematics method in solving scientific problems.

Modern signal processing

The goals of this course are to enable you to apply digital signal processing concepts to your own field of interest, to make it possible for you to read the technical literature on digital signal processing, and to provide the background for the study of more advanced topics and applications. The topics of this course include: 1) Review of Linear Continuous-Time Signal Processing; 2) Introduction to Real-Time Computation; 3) Sampling and Reconstruction; 4) Discrete-Time Signal Processing; 5) Discrete Spectral Analysis; 6) Real-Time Simulation Methods Using Difference Equations; 7) Filter Design -Continuous and Discrete; 8) Statistical Signal Processing.

Information theory and coding

Information theory is based on probability theory and statistics. Coding theory is one of the most important and direct applications of information theory. This course is of two parts: part one introduces basic results in the information theory and part two introduces the fundamentals of coding theory and applications to state-of-the-art error correcting and error detecting codes. Furthermore, a wide range of examples of coding are also provided.

Image Communication and Information Processing

This course introduces the basic concepts, basic principles and problem-solving methods for image communication and information processing. So that students master the basic image processing methods, understand the various applications related to information processing technology. The main contents of this course include the procedure of image processing and image communication, fundamentals of image communication, point operations, local operations, global operations, region oriented segmentation, contour-oriented segmentation, Hough transform, morphological image processing, texture analysis, pattern recognition and image sequence analysis. Training students to master the ability to solve practical problems related to image processing under VC ++ environment.

Modern Communication Technology

This course is for graduated students in communication, electronic, automation, and computer engineering. It aims to provide the frontier of modern communication and networks technologies, which includes1) introduction of communications and networks; 2) mathematical foundations for wireless communication and networks; 3) hot topics for current wireless communication area in theory and systems; 4) hot topics for current networking area in theory, system, and applications; 5) experiments in wireless communication and networks related area. 

Embedded systems: theory and application

Embedded system is a widespread-used computer system with a dedicated function within a larger mechanical or electrical system, often with real-time computing constraints. The learning objectives of this course focus on how to design an integrated embedded system based on Programmable System On Chip 5 Low Power (PSOC5LP) with ARM Cortex-M3 core from Cypress, and include: foundation of embedded systems, introduction of ARM Cortex-M3 and PSOC5LP, Proteus embedded systems simulation software, PSOC Creator Integrated Development Environment (IDE), programmable analog subsystem of PSOC5LP, programmable digital subsystem of PSOC5LP, c/os III Real Time Operation System (RTOS), and design of integrated embedded system.

Data Mining

Data mining refers to a set of techniques that have been designed to efficiently find interesting pieces of information or knowledge in large amounts of data. Interest in the field is motivated by the growth of computerized data collections which are routinely kept by many organizations and commercial enterprises, and by the high potential value of patterns discovered in those collections. This course is to introduce basic concepts and techniques of data mining, and present the techniques most commonly employed in the analysis of large volumes of data, in the extraction of knowledge from this data, and in making decisions based on the knowledge acquired. In this course we explore how this interdisciplinary field brings together techniques from databases, statistics, machine learning, and information retrieval. We will discuss the main data mining techniques currently used, including data cleaning, clustering, classification, regression, forecasting, association rules mining, and recent techniques for web mining. After finishing this course, students will be able to understand typical data mining process and the different mining algorithm available by popular commercial data mining software; and know the different types of problems (tasks) that can be addressed through data mining.

Internet of Things

The Internet of Things (IoT) refers to the network of physical objects or “things” embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data. On the basis of better usage of resources, better control over infrastructure, assets or service, IoT has considerably improved user’s decision. As one of the most significant and innovative technology, IoT has been applied successfully to build smart cities, smart environment, smart agriculture as well as major improvements in industrial application, security & emergency operation, health monitoring and home automation. The main objective of the course is to provide a comprehensive understanding of the IoT into the world of “smart” solutions, including basic skills to understand the architectural design and fundamental concepts of IoT. Topics mainly include an overview of the current researches in the IoT, connected product concepts, development platforms, user experience, challenges and future directions. This course enables students to understand what IoT technologies are and what is required in certain scenarios. After the course the students should have some knowledge of the architectures, models and applications, and understand the basic principles behind them.

Image Communication and Information Processing

This course introduces the basic concepts, basic principles and problem-solving methods for image communication and information processing. So that students master the basic image processing methods, understand the various applications related to information processing technology. The main contents of this course include the procedure of image processing and image communication, fundamentals of image communication, point operations, local operations, global operations, region oriented segmentation, contour-oriented segmentation, Hough transform, morphological image processing, texture analysis, pattern recognition and image sequence analysis. Training students to master the ability to solve practical problems related to image processing under VC ++ environment.

Pattern Recognition: Theory and Technology

With the ever increasing amounts of data in electronic form, the need for automated methods for data analysis continues to grow. The goal of pattern recognition is to develop methods that can automatically detect knowledge hidden in data, and then to use the uncovered patterns to predict future data or other outcomes of interest. This course provides a detailed introduction to pattern recognition theory and techniques, and includes worked examples drawn from application domains such as molecular biology, text processing, computer vision, and robotics. The aim of this course is to provide descriptions of the most useful pattern processing techniques including many of the recent advances in nonparametric approaches to discrimination and Bayesian computational methods developed in the statistics literature and elsewhere. Discussions provided on the motivations and theory behind these techniques will enable the practitioner to gain maximum benefit from their implementations within many of the popular software packages.

1. Be a non-Chinese citizen; be physically and mentally healthy.

2. Having a certain financial capability; no criminal record.

3. Age Requirement：

Self-funded applicants: no more than the age of 40

4. Educational Background: have earned a bachelor's degree or its international equivalent.

5. Language Proficiency:

For English-taught programs: the applicant's English proficiency should be equivalent to at least IELTS Academic 6.0, or TOEFL IBT 80.

Tuition Fee
Master	RMB 40,000 pre year RMB 100,000 in total (About $ 20,409)

Accommodation Fee
International Student Dormitory
Double Room	RMB 6,500  (More Details)
Quad room	RMB 4,550  (More Details)
Single Room	RMB 12,350  (More Details)
No. 5 Dormitory Building ( for male international students)
Double Room	RMB 7,000  (More Details)
Triple Room	RMB 5,000  (More Details)
Teachers' House ( for female international students)
Double Room	RMB 7,000  (More Details)
Triple Room	RMB 5,000  (More Details)
Roominshanghai
Single Room	RMB 5,500  (More Details)

Other Fees
Application Fee: The application fee charged by the university, CUCAS only collect on their behalf.	RMB 200 to RMB 800
Service Fee: For the service CUCAS provide to you. If you get a scholarship while applying as a self-financed applicant, you need to pay another scholarship service fee of 200 USD.	USD 54 (Check Policy)
Living Expense	RMB 1,500 to RMB 2,000

"*" means necessary documents that you must provide in your application.

*1. Application Form

Please upload your finished application form here.

*2. Certificate of no criminal conviction

The certificate should be issued by the local public security authority within six months prior to the submission date of the application.

*3. Statement of Financial Support

Fill the blanks and sign by the applicant and the sponsor.

You can download a template or sample from here.

*4. Curriculum Vitae

Written in the teaching language of the program you apply for, including your personal information, contact details, academic history, professional experience, publications and presentations, qualifications and skills, awards and honors, grants and scholarships, licenses and certificates, etc.
Gap between each experience should not exceed three months.

You can download a template or sample from here.

5. Any documents that might enhance your competitiveness, such as published papers, award letters, etc.

*6. English Language Credential

*7. ID photo

Recent bareheaded (within six months), full-face, white-color background, two-inch certificate photo, instead of landscape photos or photos of daily life; in JPG format, less than 100K.

*8. Passport (and visa) page

A clear copy of your valid passport with your name, photo, date of birth, place of birth, date of issue and date of expiry. The passport should have at least 6-month validity.
All visa pages are required if you have been to or if you are currently in China.

*9. Bachelor's Transcripts

Academic Transcripts in languages other than Chinese or English should be translated into Chinese or English and be certified by notarization. Both original and official English translated version are required.
Students who are currently in the final year can submit a pending certificate along with transcripts of all grades you completed. You are required to submit the official certificate and final transcripts once you receive them.

*10. Bachelor's Degree Certificate

Certificate in languages other than Chinese or English should be translated into Chinese or English and be certified by notarization. Both original and official English translated version are required.
Students who are currently in the final year can submit a pending certificate along with transcripts of all grades you completed. You are required to submit the official certificate and final transcripts once you receive them.

*11. Two Recommendation Letters

Written in English or Chinese by two people who know your competencies, personal character and accomplishments, include their names, signatures and contact details (especially email address).
At least one letter should be from a past or current professor or academic adviser. Another could be from someone in a slightly different role, including an employer, a research adviser, a senior colleague, or a professor from a different department.

*12. Research Proposal

A research proposal in the essay format written in the teaching language of the program you apply for.
One to two pages to articulate coherently and concisely an outline of your research topic, why this research is important, what you want to achieve during your master's study and how you plan to achieve it.

13. Supervision Confirmation Letter

Applicants who apply for programs offered by the following colleges/schools are required to contact the DHU professors in the relevant research field to ask for a 'Supervision Confirmation Letter'.
College of Fashion & Design / School of Business & Management (except MIB)
College of Materials Science & Engineering / School of Computer Science & Technology
College of Chemistry, Chemical Engineering & Biotechnology / College of Mechanical Engineering
College of Science / College of Foreign Language
If the professor is willing to be your future supervisor, fill out and sign respectively by yourself and the professor. The date of professor's signature should be within six months prior to the application deadline.

You can download a template or sample from here.

14. Supporting Documents: Certificate of Good Conduct

Provided by your current/previous school/company in Chinese/English to improve your success rate.

You can download a template or sample from here.

CUCAS Service

CUCAS provides best service in this industry to international students. Apply through CUCAS, you will enjoy:

• Free Online Consulting, response within one working day.

• Free access to Chinese university database, 20,000+ programs in 300+ top Chinese universities are available.

• Free and easy-to-use online application system, only need 20 minutes to complete application.

• Free accommodation booking.

• Free DHL delivery - fast arrival and guarantee to get admission package.

• Mostly get admission letter in 2 weeks.

• Free visa guide, per-departure guide and students handbook.

• Airport pick-up Service.

• Money Transfer Service.

• Chance to find alumni.

 

Learn More>>