Program Overview

Data Science and Technology program is an English-taught, international graduate program aiming at the integration of science, engineering, business, and arts. Along with the rapid growth of data and information technology, this DS&IT program actively explores the interdisciplinary application of data science and information technology 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.

Data science and information technology program inherits the academic excellence of Tsinghua University and integrates the borderless pedagogy of top universities in the world, which 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 collaboration opportunities with the industry. The research directions are disruptive, forward-looking, innovative, and interdisciplinary, covering emerging topics such as artificial intelligence, operations research & statistics, management science, computational imaging, smart grids, robotics, 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, Big Data, Sensors and Microsystems, Nanodevices, IoT and Socio-Physical Information Systems, Future Internet, Computational Imaging and Display, Operations Research 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 international top universities, embracing science, engineering, business, and arts.

• Educational Approach

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

Contact

Ms. Wu

Tel: +86-755-26924345

E-mail: wu.chen@sz.tsinghua.edu.cn