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19 March 2022 (Saturday) | 12:30PM – 3:35 PM

Come and get an in-depth understanding of our Data Science Programmes at the CityU Virtual Undergraduate Open Day!  


13 March 2022 (Sunday) | 3:15PM – 4:45 PM

Members of the CityU community are welcome to join us! Apart from taking this opportunity to unite with fellow alumni, students, and faculty members, participants will receive updates on the latest progress of our School from our Dean and Programme Leaders. In the data science talk, we will share our research on using various data science approaches to confronting the COVID-19 pandemic.


11 November 2021 (Thursday) | 12:30 PM – 1:45 PM

Deep learning has resulted in breakthroughs in dealing with big data, in speech recognition, computer vision, natural language processing, and many other domains. It is based on deep neural networks with structures designed for various purposes. A mathematical foundation is needed to help understand modelling, and the approximation or generalization capability of deep learning models with network architectures and structures. In this talk, Professor Zhou will consider deep convolutional neural networks (CNNs) that are induced by convolutions. The convolutional architecture identifies essential differences between deep CNNs and classic neural networks. Professor Zhou will describe a mathematical theory for deep CNNs associated with rectified linear unit activation. In particular, Professor Zhou will discuss approximation and learning capability of deep CNNs dealing with functions of many variables.


23 October 2021 (Saturday) | 10:30am – 4:45pm

The CityU Virtual Information Day 2021 will be held on 23 October 2021 (Saturday). Join us online!  


15 September 2021 (Wednesday) | 3:00pm – 4:30pm

Professor Junhui Wang, Professor of the School of Data Science, is invited to give a lecture at an online seminar organised by the Hong Kong Institute for Advanced Study of CityU.  


26 August 2021 (Thursday) | 3:00pm – 4:15pm

數據科學是一門什麼樣的學科?數據科學解決什麼樣的問題?與大數據、人工智能、統計學的關係是什麼?這個報告將以個人以及香港城市大學數據科學學院的教學與科研實踐回答上述問題,簡介數據科學的三大支柱,闡述數據科學與傳統科學,工程,金融,管理等領域的關係,強調與傳統科學與工程第一原理結合的必要性,並展示其前所未有的可視化能力,與使用人密切互動,為使用人從錯綜複雜的大數據中提取新的內涵與知識。


18 March 2021 (Thursday) | 12:30 PM – 1:45 PM

High dimensional and big data relate to every science discipline and every facet of life. Data science tools allow the user to extract important features to decipher information and events behind big data. In this lecture, Professor Qin introduces some fascinating tools from others and from his work that are illuminating, fancy, and informative.