


Shanghai Jiao Tong University
Shanghai, China
Shanghai Jiao Tong University is one of the oldest and most prestigious universities in China. Since its establishment in 1896, the fundamental mission of the university has been to nurture first-class talent, accomplish top scholarship and drive the nation’s development.
SJTU has 31 schools/departments, 47 research platforms, and 13 hospitals affiliated to its medical school. The University offers 67 undergraduate programs covering disciplines of economics, law, literature, science, engineering, agriculture, medicine, management and arts, 42 first-level disciplines authorized to confer doctorate degrees and 57 first-level disciplines authorized to confer master degrees. By December 2018, there are 16,129 undergraduates and 30,217 postgraduates, more than 7000 international students on campus including 2,982 in degree programs. There are over 3,100 full-time faculty members, including 44 academicians of two academies (the Chinese Academy of Sciences and the Chinese Academy of Engineering).
Internationalization has always played an important role in the development of SJTU. Currently SJTU has more than 150 institutional cooperation agreements with well-known universities around the world and has 60 double-degree programs in place. More than 45% of its undergraduate students have a study-abroad experience over the four years of studies at SJTU. SJTU aspires to build a world-class university with featured attributes of being “comprehensive, research-intensive and international”, to fulfill its core mission of serving the societal development and mankind through knowledge advancement, educating future generations of leaders and providing driving forces of innovation for economic growth and public good.
Website: en.sjtu.edu.cn
Facebook: facebook.com/sjtu1896/
Twitter: twitter.com/sjtu1896
Instagram: instagram.com/shanghai_jiao_tong_uni/
VSE Season 2, 2023-24: Courses offered by Shanghai Jiao Tong University
Important - Read Before Applying
Before applying, please make sure you understand the following enrolment restrictions set by the course offering university:
Each student can apply and enroll in ONE academic course offered by Shanghai Jiao Tong University at VSE Season 2, 2023-24 only. If you have submitted two applications to Shanghai Jiao Tong University courses, the VSE Central Office will withdraw the SECOND application without prior notice. If you wish to change your course selection after making the first application, please make a request by emailing [email protected].
Applicants to courses offered by SJTU at VSE Season 2, 2023-24 are required to complete an additional SJTU registration form immediately after submitting the VSE application. The deadline for submitting the SJTU registration form is the same as the VSE application deadline.
Applications will only be considered for review if they have been endorsed by the home university by the deadline.
Application Deadline
Students must submit an application to the VSE Central Office before:
Jan 7, 2024 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
- Applicants from partner universities must be enrolled at their home university during 2024 Spring Semester.
- Applicants should meet the requirements of their home university for virtual exchange.
For more details, please contact the VSE coordinator at Shanghai Jiao Tong University.
English Language Proficiency Requirements
Before applying, please make sure you have fulfilled the course offering university's English language proficiency requirements listed below:
- IELTS 6.0, TOFEL 90, or other certificate showing the equivalent competency of English (waived for English native speakers)
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 | 4 | ||
Offering Department | School of Humanities | ||
Course Teacher | Jun Wang | ||
Language of Instruction | English | ||
First Day of Class | Feb 19, 2024 | ||
Last Day of Class | Jun 5, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Week 1-16: Mon 1800-1940, Wed 1800-1940 | ||
Time Zone | UTC+08 | ||
Course Description | This course is to build a preliminary foundation in spoken Chinese for the students within limited time and enable them to communicate in the target language for some basic functions. 250 most frequently used Chinese characters will also be taught. Meanwhile passing HSK 2 is an optional target. This course is also helpful to those who want to study Chinese language in depth in the future. No prerequisite is required. By completing this course, students will have a vocabulary size of 500 words and reach the proficiency level of HSK 2, and be able to communicate with Chinese people fluently in most topics. The course has the full support of a MOOC, and can be delivered in the “flipped classroom” mode, which is efficient for both face-to-face and distant learning. The MOOC has been certified as a “national high-quality undergraduate course” by the Ministry of Education of China. | ||
Course Outline | |||
Course Prerequisites/Restrictions | This is a beginners' course. If you have learned Mandarin Chinese before, please contact the instructor ([email protected]) for suggestion. | ||
Points to Note for Students | Assessment:
Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 4 | ||
Offering Department | UM-SJTU Joint Institute | ||
Course Teacher | Hongyi Xin | ||
Language of Instruction | English | ||
First Day of Class | May 6, 2024 | ||
Last Day of Class | Aug 2, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | TBA | ||
Time Zone | UTC+08 | ||
Course Description | This course includes introduction to algorithm analysis and Big-Oh notation; fundamental data structures including priority queues, hash tables, binary trees, binary search trees, balanced trees, and graphs; searching and sorting algorithms; basic graph algorithms; and introduction to dynamic programming. | ||
Course Outline | |||
Course Prerequisites/Restrictions | Introduction to programming, Discrete Math/Computer Science/Junior. | ||
Points to Note for Students | Assessment:
Exact time for classes has not been decided yet, subject to change. Course Introduction Video
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Fees to be Borne by Students | N/A |
Number of Credits | 4 | ||
Offering Department | UM-SJTU Joint Institute | ||
Course Teacher | Ailin Zhang | ||
Language of Instruction | English | ||
First Day of Class | May 6, 2024 | ||
Last Day of Class | Aug 2, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | TBA | ||
Time Zone | UTC+08 | ||
Course Description | The course will cover concepts and skills to tackle real-world data science problems. We will follow the data science life cycle to discuss data collection, data cleaning, data visualization, modeling, and data informed decision making. We will introduce concepts in probability, statistical inference, and machine learning. By working on real datasets, you will develop skills in programing and scientific computation (R and Python). In the course, you will learn how to build data-driven models from scratch to inform decision making. | ||
Course Outline | |||
Course Prerequisites/Restrictions | N/A | ||
Points to Note for Students | Assessment:
The exact time of classes has not been decided, subject to change. Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | Antai College of Economics and Management | ||
Course Teacher | Nan Li | ||
Language of Instruction | English | ||
First Day of Class | Feb 23, 2024 | ||
Last Day of Class | Jun 27, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous / Asynchronous | ||
Meeting Time | Week 1-16: Fri 1400-1600 | ||
Time Zone | UTC+08 | ||
Course Description | This course builds on basic finance theory and economic principles to address topics that are important for managing financial institutions in a rapidly changing international environment. The students are expected to learn not only the theoretical framework to analyze the financial system, risk management and financial crisis, but also to learn how to apply tools and methods leant in this course to solve problems faced by the banks in the real economy. This course consists of following topics: Specialness, Risks and Regulations of Financial Institutions; Organization, Structure, Changing Dynamics of Banking Industry and Performance Evaluation of Commercial Banks; Liquidity Risk and Monetary Policy; Interest Rate Risk and Market Risk; Credit Risk. | ||
Course Outline | |||
Course Prerequisites/Restrictions | 3-4 year Students major in economics, finance, management. Students in other majors with solid background in mathematics, basic economics can apply with consent of lecture. | ||
Points to Note for Students | Assessment:
Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | SJTU Paris Elite Institute of Technology | ||
Course Teacher | Jialiang Lu | ||
Language of Instruction | English | ||
First Day of Class | Feb 20, 2024 | ||
Last Day of Class | Jun 4, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Week 1-16: Tue 1400-1545 | ||
Time Zone | UTC+08 | ||
Course Description | This course introduces advanced data structure such as different type of tree, Hash table and graph, some algorithm will also be revised. Data structure is one of the fundamental courses in Computer Science. It deals with storage and processing technique of data. The objective of the course is to master the following aspects: 1) Understand the logical relationship between data and processing requirements; 2) How to deal with data storage; 3) how to process data. The course will be divided into 5 parts: 1) list, stack and Queue; 2) Binary Tree, Non-Binary Tree; 3) Sorting; 4) Searching: Hashing and other method; 5) Graph. | ||
Course Outline | |||
Course Prerequisites/Restrictions | Have C++ basis. | ||
Points to Note for Students | Assessment
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Fees to be Borne by Students | N/A |
Number of Credits | 3 | ||
Offering Department | School of Mathematical Sciences | ||
Course Teacher | Tudor Stefan Ratiu | ||
Language of Instruction | English | ||
First Day of Class | Feb 23, 2024 | ||
Last Day of Class | Jun 7, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous / Asynchronous | ||
Meeting Time | Week 1-16: Fri 0800-1045 | ||
Time Zone | UTC+08 | ||
Course Description | The purpose of this course is to provide an introduction to Lie groups and Lie algebras. This course is divided into two parts taught every Spring semester. The first part presents the basic structure theory of complex semi-simple Lie algebras up to and including the classification by Dynkin diagrams. The second part presents the basic theory of Lie groups starting with elementary properties and going through the standard results up to and including Lie’s Third Theorem. For the first part, a good knowledge of advanced linear algebra is needed. For the second part, familiarity with manifolds is advised but not necessary since it will be reviewed. The two parts are independent of each other. The basic reference books are Humphries “Introduction to Lie algebras and their representations”, Duistermaat and Kolk “Lie Groups”, Knapp “Lie groups, beyond an introduction”, plus other secondary sources that could serve for additional reading, depending on the tine interests of the students. Depending on the background and interest of the students, the material of the course can emphasize certain topics. Lie theory is basic to most areas of mathematics, physics, and engineering. The goal is to familiarize the students with this theory so that they can use Lie theory in their own course work and research. In this class, Professor could answer students’ questions in 6 languages: English, German, French, Spanish, Portuguese, Romanian. | ||
Course Outline | |||
Course Prerequisites/Restrictions | Advanced undergraduate mathematical analysis. | ||
Points to Note for Students | Assessment:
Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 4 | ||
Offering Department | UM-SJTU Joint Institute | ||
Course Teacher | SHEN Yongxing | ||
Language of Instruction | English | ||
First Day of Class | Feb 20, 2024 | ||
Last Day of Class | Apr 26, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Week 1-10: Tue, Thu, Fri 1400-1540 | ||
Time Zone | UTC+08 | ||
Course Description | The course will cover concepts and skills to tackle real-world data science problems. We will follow the data science life cycle to discuss data collection, data cleaning, data visualization, modeling, and data informed decision making. We will introduce concepts in probability, statistical inference, and machine learning. By working on real datasets, you will develop skills in programing and scientific computation (R and Python). In the course, you will learn how to build data-driven models from scratch to inform decision making. | ||
Course Outline | |||
Course Prerequisites/Restrictions | N/A | ||
Points to Note for Students | Assessment:
Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | School of Materials Science and Engineering | ||
Course Teacher | Huanan Duan, Chuanliang Feng | ||
Language of Instruction | English | ||
First Day of Class | Feb 20, 2024 | ||
Last Day of Class | Jun 4, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Week 1-16: Tue 0800-0945 | ||
Time Zone | UTC+08 | ||
Course Description | Materials chemistry is the study of the synthesis, structure, properties, and application of solid materials. Our technology-driven world is fuelled by advances in materials chemistry with examples of application in areas such as microelectronics, polymers, and energy technology. This course introduces the materials chemistry of several major categories of materials (metals, ceramics and glasses, semiconductors, polymers, nanomaterials) with the emphasis of materials synthesis. The topics span from traditional extractive metallurgy to more recent development of nanomaterials and biomaterials. | ||
Course Outline | |||
Course Prerequisites/Restrictions | Sophomore with major in Materials Science. | ||
Points to Note for Students | Assessment:
Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 3 | ||
Offering Department | School of Materials Science & Engineering | ||
Course Teacher | Kolan M. Reddy | ||
Language of Instruction | English | ||
First Day of Class | Feb 19, 2024 | ||
Last Day of Class | May 8, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Week 1-12: Mon 0800-0945, Wed 1000-1145 | ||
Time Zone | UTC+08 | ||
Course Description | Materials are the physical foundations for the development of science and technology. The human civilizations are historically designated by the evolution of materials, such as the Stone Age, the Bronze Age and the Iron Age. Nowadays, materials science and technology support most of the industrial sectors, including aerospace, telecommunications, transportation, architecture, infrastructure and so on. Fundamentals of Materials Science is a core module for undergraduates majored in materials science and engineering. An integrated approach of combining metallic, ceramic and polymeric materials will be adopted in this course, for the attendants to attain a deep understanding on the correlation of composition, microstructure, processing and properties in materials science. The first part of this course will cover atomic bonding, structure of solids, defects, and mechanical properties of materials. | ||
Course Outline | |||
Course Prerequisites/Restrictions | For materials science & metallurgy students. Prerequisites include calculus, college physics, and thermodynamics. | ||
Points to Note for Students | Assessment:
Course Introduction Video | ||
Fees to be Borne by Students | N/A |
Number of Credits | 2 | ||
Offering Department | China-UK Low Carbon College | ||
Course Teacher | Cheng Tung Chong | ||
Language of Instruction | English | ||
First Day of Class | Feb 19, 2024 | ||
Last Day of Class | Jun 3, 2024 | ||
Course Component | Lecture | ||
Mode of Teaching | Synchronous | ||
Meeting Time | Week 1-16: Mon 1400-1545 | ||
Time Zone | UTC+08 | ||
Course Description | As nations bind together to tackle global climate change, one of the urgent needs is the energy sector’s transition from being fossil-fuel reliant to embracing sustainable carbon-free solutions. Through a multi-national collaboration, this course aims to introduce a redefined perspective of fuel utilisation for the power and transportation sectors, placing emphasis on alternative fuels derived from renewable resources that are essential contributors to the goals of carbon neutrality. Some of the low or zero-carbon fuels such as hydrogen, ammonia, biofuels and emerging low carbon fuels adaptable to current or new energy systems will be explored in the context of production, utilisation, economics and sustainability. The impacts of future fuels on the environment, resource availability and social well-being need to be holistically considered and supported by diverse solutions, in alignment with the Sustainable Development Goals of Affordable and Clean Energy (SDG 7) and other related SDGs as put forth by the United Nations. From this course, the students will grasp the broad concept of alternative fuel production, application and challenges faced in moving towards a net zero-carbon society. | ||
Course Outline | |||
Course Prerequisites/Restrictions | N/A | ||
Points to Note for Students | Assessment:
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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.