


Nanjing University
Nanjing, China
Presently, NJU has 43,477 (12,655 undergraduates, 11,030 graduates) and comprises of 21 schools with 59 departments. It runs 78 undergraduate programs, 213 master’s programs, 9 professional master’s programs, 147 Ph.D. programs (under 23 primary disciplines), and 23 post-doctoral research stations. In addition, NJU has one national laboratory and six national key laboratories, 5 key laboratories of the Ministry of Education (MOE), 2 engineering centers of the Ministry of Education, 2 Jiangsu provincial key laboratories, 21 national key disciplines, 24 provincial key disciplines; It also houses 8 national bases for teaching and researching in basic sciences and applied sciences, 3 national bases for basic disciplines education and research, and 4 key bases for researching in humanities and social sciences of MOE.
Among its over 2,000 faculty, there are 716 professors and 649 associate professors , including 27 members of the Chinese Academy of Sciences, three members of the Chinese Academy of Engineering, four members of the Third-World Academy of Sciences, one member of the Russian Academy of Sciences and one fellow of the Royal Society of Canada.
In May 2002, NJU celebrated its 100th anniversary and successfully organized the Centennial Ceremony, the World Famous Scientists’ Forum, and Dialogue with Masters attended by more than 25,000 alumni, together with guests from home and abroad (including 6 Nobel Prize laureates, over 120 academicians and around 100 university presidents).
Website: https://www.nju.edu.cn/EN/main.htm
VSE Season 2, 2022-23: Courses offered by Nanjing University
Important - Read Before Applying
Before applying, please make sure you understand the following enrolment restrictions set by the course offering university:
Applicants must submit their passport photo page and an additional application form to Nanjing University after being accepted to complete their application.
Application Deadline
Students must submit an application to the VSE Central Office before:
Jan 9, 2023 12:00 noon Hong Kong Time (UTC+8)
Academic Requirements
Before applying, please make sure you have fulfilled the course offering university's academic requirements listed below:
GPA of 3.0 or above
Course-specific requirements and restrictions are indicated in the course information.
For more details, please contact the VSE coordinator at Nanjing University.
English Language Proficiency Requirements
Before applying, please make sure you have fulfilled the course offering university's English language proficiency requirements listed below:
- 6.0 or above in IELTS
- 78 or above in TOEFL iBT
For more details, please contact the VSE coordinator at Nanjing University.
Course Information
Course information posted on this page are provided by the course offering university and may be changed or updated anytime without prior notice.
Click on the course titles to reveal full course details:
Number of Credits | 3 | ||
Offering Department | School of Business | ||
Course Teacher | PAN Lijun | ||
Language of Instruction | English | ||
First Day of Class | Feb 13, 2023 | ||
Last Day of Class | Jun 23, 2023 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Wed 0900-1200 | ||
Time Zone | UTC+08 | ||
Course Description | This course studies the central questions in industrial economics, including imperfect competition, firms' strategies, market structure, and the implications of these for regulation and policies. We will cover the fundamental theories with an introduction to recent advances. We will also invite guest professors to talk about their latest research on industrial economics. It will start the process of preparing economics master students to conduct thesis research in the area, and may also be of interest to students working in other areas of economics and related fields. | ||
Course Outline | |||
Course Prerequisites/Restrictions | For students major in business or economics ONLY. | ||
Points to Note for Students | N/A | ||
Fees to be Borne by Students | N/A |
Number of Credits | 3 | ||
Offering Department | School of Business | ||
Course Teacher | YANG Liu | ||
Language of Instruction | English | ||
First Day of Class | Feb 13, 2023 | ||
Last Day of Class | Jun 23, 2023 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Wed 1830-2120 | ||
Time Zone | UTC+08 | ||
Course Description | This course aims at providing an introduction to the mainstream machine learning algorithms and their applications in economics and business. Throughout the course, we will utilize the statistical package R to illustrate how to implement each method on real-life data. This course will cover the two types of machine learning methods: i) supervised learning: linear regression, logistic regression, lasso, discriminant analysis, k-NN, decision trees, random forests, support vector machine, as well as neural network; ii) unsupervised learning: principal component analysis, clustering analysis, and text mining. In addition, model validation metrics will be presented to measure the predictive performances of each algorithms, including the mean squared error, confusion matrix, sensitivity, specificity, recall, receiver operating characteristic curve, precision-recall curve, KS curve and KS statistic, etc. This course focuses on the out-of-sample predictive performances with the use of cross-validation method. | ||
Course Outline | |||
Course Prerequisites/Restrictions | For students major in business/economics ONLY. | ||
Points to Note for Students | N/A | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | School of Social and Behavioral Sciences | ||
Course Teacher | CHAI Xiangnan | ||
Language of Instruction | English | ||
First Day of Class | Feb 13, 2023 | ||
Last Day of Class | Jun 23, 2023 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Mon 1600-1800 | ||
Time Zone | UTC+08 | ||
Course Description | This course helps to build up understandings of health and the health inequality issue within our society. First and foremost, we will discuss what health is and the prevalent health problems at the moment. Second, students are encouraged to discuss whether and to what extent health inequalities exist in the contexts of Mainland China, other developing countries and regions, and the Western World. A couple of middle-range theories will be discussed to help explore mechanisms leading to inequalities regarding health at the population level. Further, we will explore demographic and socioeconomic factors contributing to these health inequalities within a specific country or region. We will also investigate health inequalities between countries and regions from a global perspective. Finally, students are required to develop their research questions and give presentations. | ||
Course Outline | |||
Course Prerequisites/Restrictions | Students should have taken sociology and anthropology courses before. | ||
Points to Note for Students | N/A | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | School of Social and Behavioral Sciences | ||
Course Teacher | QIU Yue | ||
Language of Instruction | English | ||
First Day of Class | Feb 20, 2023 | ||
Last Day of Class | Jun 23, 2023 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Thu 1400-1600 | ||
Time Zone | UTC+08 | ||
Course Description | This course aims to introduce concepts and theories related to community and cultural identity from an interdisciplinary perspective. As a reflection of different forms of collective life, community is also the source of people's Cultural identity, sense of security and sense of belonging. Especially, under the ongoing trend of individualization, globalization and even anti-globalization, by exploring and examining communities with different forms might provide a deeper understanding of the society and the world we live in. Through case studies of local and multicultural communities, both at home and abroad, this course enables students to understand the different characteristics of communities under the influence of migration, urban renewal, religion and lifestyle, ethnicity and nationalism, disasters, the Internet and other factors, and gain a broader perspective. In addition, a small number of field trips and community service will provide students with first-hand experience in understanding the community. | ||
Course Outline | |||
Course Prerequisites/Restrictions | Students should have taken course of sociology or anthropology before. | ||
Points to Note for Students | N/A | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | School of Liberal Arts | ||
Course Teacher | WANG Lin | ||
Language of Instruction | Chinese | ||
First Day of Class | Feb 20, 2023 | ||
Last Day of Class | Jun 23, 2023 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Tue 1610-1800 | ||
Time Zone | UTC+08 | ||
Course Description | The course of New Media Reading and Application is divided into two parts: introduction the application of new media and introduction the current social situation of China. Students learn how to use the most common new media social tools in China, such as WeChat, Weibo, Tiktok and Dubbing Show, and experience Chinese pop culture. With the guidance of the teacher, students read short articles and watch videos, and they are also expected to make presentations about the topics they are interested in by using language knowledge and new media social tools learned through the class. Thus, students are able to have a better understanding of the present state of China, while improving their ability of reading and communication. | ||
Course Outline | |||
Course Prerequisites/Restrictions | N/A | ||
Points to Note for Students | For advanced Chinese leaners with a language proficiency equals to HSK 5.0. | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | School of Liberal Arts | ||
Course Teacher | WANG Lin | ||
Language of Instruction | Chinese | ||
First Day of Class | Feb 20, 2023 | ||
Last Day of Class | Jun 23, 2023 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Wed 1610-1800 | ||
Time Zone | UTC+08 | ||
Course Description | This course is an oral skills training course, which aims at developing students' daily communication skills. At the beginning, this course focuses on speech intonations and simple daily conversation training, and then gradually turns to develop students' dialogue ability and segmental expression ability. Students are guided to have a plenty of practice in oral communication at class. After the course, They will be able to use basic sentence patterns in Chinese to conduct daily conversations. Their communicative competence in Chinese will be improved. | ||
Course Outline | |||
Course Prerequisites/Restrictions | N/A | ||
Points to Note for Students | For beginner Chinese learners who could read PinYin and talk with short sentences in Chinese. | ||
Fees to be Borne by Students | N/A |
Before Making an Application
Make sure you have thoroughly read the information on this page and the Academics page before making an application. If you have a question, email us at [email protected] or contact the VSE Coordinators at your home university or course offering university,