I will interview for the hkust rmbi programme tmr, please give me an around 350 words introduction of the programme so I have some understanding on it

The curriculum places strong emphasis on quantitative techniques alongside business knowledge. Students are expected to build foundations in areas such as mathematics, statistics, probability, computing and data analysis, while also studying business disciplines relevant to decision-making and risk. This combination is valuable because modern firms increasingly rely on data-driven models, but still need people who understand the commercial context, assumptions, limitations and consequences behind those models.

A key feature of RMBI is its cross-school design. Rather than following a conventional single-discipline business degree, students develop a broader toolkit: they learn to interpret data, assess risk, communicate findings and connect analytical results with managerial decisions. The programme is designed around market demand for graduates who can work at the intersection of business, finance, technology and analytics.

Possible career directions include risk analyst, business or data analyst, quantitative analyst, consulting, insurance, banking, fintech, audit, compliance, operations and technology-related roles. The degree can also provide a foundation for postgraduate study in areas such as finance, financial engineering, data science, business analytics, statistics or risk management.

For the interview, it is useful to show that you understand RMBI is not simply “finance plus coding.” You could say: “I am attracted to RMBI because it develops both quantitative problem-solving and business judgement. I want to learn how to use data responsibly to identify risks, support decisions and create practical value for organisations.” This demonstrates alignment with the programme’s interdisciplinary and application-oriented nature.