本院簡介  Introduction

資訊時代演進，資料不斷產生與儲存，衍生大數據時代的來臨，相對地也對傳統產業與相關技術發展帶來衝擊與新契機。位處大數據時代，巨量資料分析以及其相關應用與日俱增，可預期的，不管對日常生活型態或產業發展將有大幅度的改變與影響。此外，面對龐大資料量，傳統資料處理工具已無法負荷，人工智慧新浪潮順勢而起。因應這新世代的發展與轉變，本校於 2021 年 6 月 1 日成立「數據與人工智慧專業學院」籌備處，由統計所教授沈宗荏擔任籌備處主任，並於 8 月 1 日正式成立。「數據與人工智慧專業學院」包含理學院轄下五個專業背景相近單位：應用數學系、統計學研究所、資料科學與資訊計算研究所、大數據產學研發博士學位學程、人工智慧與資料科學碩士在職學位學程。

「數據與人工智慧專業學院」首任院長由統計所教授沈宗荏出任。在二十一世紀，產業界對人工智慧、大數據分析、資訊計算等專長的人力需求倍增，而這樣的人才需要跨領域的兼具數學、統計、計算科學、資訊等專長。「數據與人工智慧專業學院」的優勢是跨領域的團隊師資與深廣兼具的課程內容，著重於全方位數據科學人才的培育、協助產業升級需求、呼應國家發展需要等任務。

As the information age evolves, data is continuously generated and stored, ushering in the era of big data, which brings both challenges and new opportunities to traditional industries and technological development. In this big data era, massive data analysis and its related applications are growing daily, and predictably, these will significantly change and influence both everyday lifestyles and industrial development. Furthermore, traditional data processing tools can no longer handle the enormous volume of data, leading to the rise of a new wave of artificial intelligence. In response to these new generational developments and transitions, NCHU established the "School of Informatics and Data Science" preparation office on June 1, 2021, with Professor  Tsung-Jen Shen from the Institute of Statistics serving as the director of the preparation office, and officially founded on August 1. "School of Informatics and Data Science" encompasses five units with similar professional backgrounds under the College of Science: Department of Applied Mathematics, Institute of Statistics, Institute of Data Science and Information Computing, Big Data Industry-Academic Research and Development Doctoral Program, and Executive Master's Program in Artificial Intelligence and Data Science.

Professor Tsung-Jen Shen from the Institute of Statistics serves as the first dean of the "School of Informatics and Data Science". In the twenty-first century, industry demand for professionals specialized in artificial intelligence, big data analysis, and information computing has doubled, and such talent requires interdisciplinary expertise in mathematics, statistics, computational science, and information technology. The advantage of the "School of Informatics and Data Science" lies in its interdisciplinary faculty team and comprehensive curriculum content, focusing on the cultivation of well-rounded data science talent, assisting with industrial upgrading needs, and responding to national development requirements.