RISK MANAGEMENT AND BUSINESS INTELLIGENCE (RMBI) Program Overview Risk management and business intelligence form a vital part of a company's strategic planning and decision-making. The BSc in Risk Management and Business Intelligence (RMBI) program integrates training in both risk management and business intelligence to address market demands in one single undergraduate program. FinTech Option An academic option “Financial Technology” is also offered to students who wish to develop a deeper understanding of financial technology, its engineering foundations, emerging cryptoventures and the latest advancements in the field. Combining the strengths of HKUST’s School of Business and Management, School of Engineering, and School of Science, the cutting-edge BSc in RMBI program features a curriculum with a strong emphasis on quantitative techniques and business knowledge. RMBI graduates are equipped with: • Risk awareness across financial institutions and other organizations, including market, credit, operational and business risks • Proficiency in mathematical modeling and quantitative methods for assessing and minimizing various types of risk • Expertise in data and text mining techniques as well as in advanced technologies to analyze and manage the increasingly large volumes of business data essential for informed decision-making Student Sharing Studying Data Science at HKUST was an exhilarating journey. The cutting-edge curriculum and handson projects equipped me with valuable analytical and programming skills. I am excited to apply my knowledge to solve real-world challenges in the data-driven era. DATA SCIENCE AND TECHNOLOGY (DSCT) Program Overview The Data Science and Technology (DSCT) program is jointly offered by the School of Science and the School of Engineering. A wide range of business and industry sectors are experiencing a growing demand for data specialists to perform in-depth analyses of the valuable datasets generated throughout business operations. DSCT graduates are exceptionally well-positioned to seize emerging opportunities in today’s data driven job market. This program equips students with a robust set of mathematical tools, data analytical techniques and IT technologies to interpret and drive insights from data acquired from diverse sources. DSCT students apply a wide array of mathematical and IT tools to build basic expertise in data analysis and programming, enabling them to interpret and investigate realworld phenomena embedded in large-scale datasets from diverse information sources. Additionally, students gain hands-on experience and benefit from expert guidance to develop their practical data analysis skills - providing a strong foundation for their future career. The program covers a broad spectrum of expertise, including machine learning, classification, clustering, data mining, database management, cloud computing and data visualization. 20 21
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