信息与决策系承担信息管理与信息系统本科专业的教学与发展任务。本系的信息管理与信息系统专业是全国首批设立的信管专业之一，并于1998年当年开始招收信管本科生，到目前为止已毕业20余届本科毕业生。2009年本专业获批为重庆市优势特色专业，目前已成为国家级一流本科专业建设点。本专业充分发挥交叉学科的优势，瞄准数据科学在经济管理领域的实践应用，坚持“以经济管理为背景、以信息管理理论为基础，以信息分析为中心、突出信息智能分析特色，依托现代信息技术和信息系统、注重信息化实践”的办学理念，培养具备现代经济管理理论基础，有较强信息收集及智能分析能力，具备大数据分析技能，能在国家各级管理部门、工商企业、金融机构、科研单位从事信息管理与智能分析、大数据与数据科学的高素质、创新型专门人才。
本系目前拥有十八名教师，其中包括一名国家级人才和一名国家级青年人才。本系教师主持了包括国家杰出青年科学基金在内的20余项国家自然/社会科学基金项目，并承担了多项来自企事业单位的研究课题。本系教师主要研究方向包括：信息系统经济分析、运作机制设计、大数据智能分析、智能预测与优化决策、金融科技与风险管理、复杂系统仿真、信息管理与知识管理、大数据与人工智能驱动的管理创新等。
The Department of Information and Decision-Making is responsible for the teaching and development of the undergraduate major of Information Management and Information Systems. It is one of the first nationally established Information Management undergraduate majors and began admitting students in 1998. Ever since then, more than 20 classes have graduated from this department. In 2009, this major was recognized as an advantageous and distinctive undergraduate specialty in Chongqing. In 2020, this major became a national first-class undergraduate program. Leveraging the advantages of interdisciplinary studies, this major focuses on the practical application of data science in the field of economic and management. Adhering to the educational philosophy of "set in the background of economic and management, based on the information management theory, focused on the information analysis, highlighting the characteristics of intelligent information analysis, relying on modern information technology and information systems, emphasizing information practice", the program aims to cultivate individuals with modern foundations in economic and management theory, strong capabilities in information collection and intelligent analysis, and skills in big data analysis. Our graduates are equipped to work in various levels of government departments, business enterprises, financial institutions, and research units as high-quality, innovative professionals that specialized in information management, intelligent analysis, big data, and data science.
The department currently has eighteen full-time faculty members, including one national-level distinguished scholar and one national-level outstanding scholar. The faculty has hosted more than 20 national natural science or social science fund projects, including the National Science Fund for Distinguished Young Scholars, and has undertaken numerous research projects from enterprises and institutions. The main research areas of the faculty include economic analysis of information systems, operation mechanism design, intelligent analysis of big data, intelligent forecasting and optimized decision-making, financial technology and risk management, complex system simulation, information management and knowledge management, and management innovation driven by big data and artificial intelligence.
