Program Information

Overview

The Data Science and Information Technology master’s program is an international graduate program aiming at the integration of science, engineering, business, and arts. Along with the rapid growth of AI, data and information technology, this program actively explores the interdisciplinary application of data science, information technology, and AI in various fields such as natural sciences, engineering, economy, and social sciences. The program aims at bringing technological solutions to worldwide scientific frontiers and strategic emerging industries regarding information, energy, and health, in order to tackle the international scientific and societal challenges as well as cultivate leading scientists, engineers, and entrepreneurs with interdisciplinary knowledge and international perspectives.

The program addresses unique graduate education with features of both Tsinghua University and top international universities. This program is backed by excellent faculty members and state-of-the-art experimental facilities. Faculty members associated with the program have international academic backgrounds, interdisciplinary research foundations, and collaborations with the industry. The research directions are disruptive, forward-looking, innovative, and interdisciplinary, covering emerging topics such as artificial intelligence, robotics, embodied AI, big-data analytics, low-altitude economy, operations research & statistics, management science, computational imaging, smart grids, Internet-of-Things, nanodevices, photonics, bionics, flexible electronics, MEMS, smart materials, and AI-for-Science (for specific research areas, please refer to the faculty members' websites). Students and alumni of this program have received numerous domestic and international awards, with fruitful publications in prestigious academic journals (for example, Nature) and CCF-A conferences (for example, CVPR).

Program Features

- Research Areas

AI, Robotics, Big Data, Sensors and Microsystems, Nanodevices, IoT and Socio-Physical Information Systems, Future Internet, Computational Imaging and Display, Operations Research, Supply Chain, Transportation and Logistics.

- Research Methods

An Approach of Interdisciplinary, Integration, and Exploration:  

1) Interdisciplinary research among natural sciences, engineering, management, and social sciences;  

2) Integration of foundational research and systematic engineering;  

3) Exploration of the path from original innovation to industrial application.

-Educational Philosophy

Combination of features of both Tsinghua University and top international universities, embracing science, engineering, business, and arts.

- Educational Approach

Modular curriculum covering all necessary professional skills; Professional Practices emphasizing the development of leadership and practical knowledge.

Faculty Information

Core Courses

This is a fully English-taught program. All courses are delivered in English, all thesis-related procedures are conducted in English, and the entire study is undertaken in Shenzhen. The program adopts an education format that emphasizes the integration of interdisciplinary research and innovation practices. Students will be guided an academic advisor. Program components include: Foundation Courses, Technical Courses, Professional Practice, Academic Activities, Literature Review & Report on Thesis Topic Selection, Mid-term Evaluation Report, Pre-defense, Thesis, and so forth.

Research Fields of Master Enrollment

Big Data and Artificial Intelligence

Computer Systems

Industrial Engineering and Operational Research

Intelligent Transportation and Logistics Systems

Smart Grid and Renewable Energy

Sensor, Measurement and Control

Photonics

Tuition Fee

33,000RMB/year

Program Duration

The standard study duration is 2 years. The maximum study duration shall comply with the Regulations on the Administration of Postgraduate Student Status of Tsinghua University.