Zhejiang Gongshang University
Computer Science and Technology (Big Data in E-Commerce)
MasterProgram Objectives
The training objective of the specialty is to develop innovative research and independent ability to solve engineering problems in the field of data science and big data technology, students can be engaged in data mining, data analysis and scientific research, system design and system integration based on cloud computing platforms and other aspects of the work of the senior specialized personnel. Through study, students should have the following knowledge and ability:1) have the basic skills of managing data, analyzing and dealing with big data;2) strong data security and privacy awareness and legal awareness;3) master the solid basic theory and broad professional skills in the field of data science and big data technology;4) Good capability in research, design, development and application of big data systems;5) In e-commerce, Internet banking, Internet of things, cloud computing and big data industry, there are strong data thinking and data decision-making advantages;6) understanding the theoretical frontiers, applications and developments of data science;7) master the basic methods of document search and data inquiry, have strong ability to analyze and solve practical problems, and have the basic ability to do research on Data Science.
Program Requirements
International postgraduate students majoring in computer science and technology should have the following abilities, for example, master basic Chinese knowledge, understand the general situation of China, master the advanced knowledge and professional skills of computer science with advanced computational thinking. Minimum credit requirements: no less than 40 credits to be completed in order to participate in the thesis defense.
Main courses
General Course: Chinese(1),Chinese(2),Outline of China Subject Public Course: Advanced Probability and Statistics, Optimization Method, Introduction to Frontier Technology in Data Science, Big Data Analysis
Basic Specialization Courses: Big data programming, Parallel programming and development, Introduction to big data systems. Data science and engineering practice
Specialization Course: Natural language processing, Advanced Machine Learning
Specialized elective course: Deep Learning, Pattern recognition and image processing image, Specialized Chinese, Graph mining and social network analysis, Intelligence and cluster computing, Big data and complex networks, Recommendation system design and Implementation, Big data security and privacy, Big data visualization technology, Chinese writing.
Faculty
The faculty team of this discipline is composed of 35 members of which 10 are full professors and 25 are associate professors, including professors with titled “National Talents project”, “Provincial Talents Project”, “Qianqian Distinguished Professor” or the “151 Talent Project” at first, second and third class. Meanwhile, more than 30 of our faculty members have overseas study experience for a period of more than 3 months.
Length of Study
3 years
Required Credits
40 credits are required
Certificate of Graduation and Degree
Qualified students will be granted certificates of graduation and Master Degree of Engineering.
Instruction Language
■ All the courses are delivered in English except some of Chinese language courses.
■ Dissertation is required to be written in English
Qualifications:
1. High school diploma and above.
2. Non-Chinese citizens who hold a foreign passport and comply with the relevant regulations set by the “Document No. 12 (2020) of Ministry of Education of the PRC ".
3. Physically and mentally healthy.
4. Applicants under 18 years old (Per September) should provide a letter of guarantee for their guardian in China (notarization required).
Application Documents:
1. Scan passport: Front page and Endorsement page (page 3/4, if there is an addition or change of name). (bit.ly/ContohPassport) (bit.ly/ContohEndorsement)
2. Recent passport size photo, with the following format: Recent full-faced passport size photo (the head occupies 70% of the size of the photo); the aspect ratio is 4:3; white background without borders; the size is 100-500KB (*.jpg,*.jpeg). (bit.ly/ContohPhoto)
3. Language Certificates
- English Taught: IELTS with an overall score of 5.5/6.0 or TOEFL IBT 85 (different for each university)
- Chinese Taught: HSK 4-6 (levels and minimum scores are different for each major and university)
4. High school diploma (for bachelor degree) and Bachelor or Master diploma (for master and doctoral degree), hasn’t graduated students should provide an official statement from your high school or university as proof of graduation (Pre-Graduation Statement). (bit.ly/PreGraduationLetter)
5. High school transcripts (for bachelor degree) and university transcripts (for master and doctoral degree), page sorted in 1 file. Please contact the school to get ‘1 sheet’ kinds of transcripts. (bit.ly/ContohOnePageTranscript)
6. 2 (two) recommendation letters from your teachers in high school (for bachelor degree) and two university professors (for master and doctoral degrees) along with letterhead and stamp from the school. Please also include the email and phone number of recommenders.
7. Study Plan / Personal Statement, approximately 800 words (English/Mandarin) and must be signed with a clear name. You could check general personal statement points grid here (bit.ly/PoinPersonalStatement)
8. Additional requirements that apply vary from university to university, for example:
- Entrance Examination / Interview.
- Financial Statement (from Bank).
- Certificate of No Criminal Record (SKCK) from the Local Indonesian Police. (bit.ly/ContohSKCK)
- Medical Check Up Report. (bit.ly/SayaratPengisianForm) (bit.ly/PhysicalExaminationForm)
Note:
- Documents number 4-6 above, MUST be translated into English / Mandarin, and legalized by the school or you could use the services of a sworn translator.
- Please neatly SCAN each file in pdf format, the size must not be more than 1 MB (except the passport photo must comply with the requirements above), then upload everything to the system at www.greatwall.co.id.