The Professional Core in Decision Analytics aims to equip students with the skills and expertise in leveraging and managing big data in real time. With an emphasis on statistically guided AI techniques, it provides students with solid training in making digitised information a strategic part of critical decision-making and resource allocation at high levels of clarity and accuracy. Built upon a synergy between data science and statistical reasoning, the programme strives to enrich artificial intelligence with a strong touch of human intelligence.

Decision Analytics students are trained with both rigorous statistical concepts and computational skills in data analytics. They are educated with problem-solving skills to provide optimized solutions to real life problems with big data.

Graduates can go on a career path as a data scientist or pursue further studies in statistics or computer science. Their career prospects are not limited to the field of data analytics but also cover strategic planning, policy making and others.

The Professional Core in Decision Analytics aims to equip students with the skills and expertise in leveraging and managing big data in real time. With an emphasis on interpretable machine learning, it provides students with solid training in making digitized information a strategic part of critical decision-making and resource allocation at high levels of clarity and accuracy. Built upon a synergy between data science and statistical reasoning, the programme strives to enhance artificial intelligence with a strong touch of human intelligence. Core courses in the curriculum emphasize the fundamental concepts and methodologies of decision analytics which include but not limited to statistical analysis, machine learning and data visualization, programming, data structuring, mathematical and statistical modelling and implementation of database systems. Elective courses focus on diverse and applied techniques of decision analytics in multidisciplinary fields.

Candidates must complete the requirements of one of the professional cores: Statistics, Decision Analytics or Risk Management, as one of the graduation requirements. Professional cores shall be displayed on the transcript and Academic Attainment Profile upon candidates’ completion of the programme and fulfillment of the corresponding professional core requirements. Depending on the professional core, the BStat curriculum comprises 240 credits of courses with the following structures:

Please click here for the syllabuses.

There is no better training than obtaining solid hands-on experience in the real workplace. Our Internship Programme serves precisely this purpose. As an intern, the student will gain insight into the challenging world and daily activities of a data analyst, a risk manager and a statistician while strengthening his/her technical, analytical and communication skills.

Under the Internship Programme, students admitted to 6779 Statistical Decision Sciences or who declare Decision Analytics / Risk Management / Statistics as their First Major are eligible to use the School’s Internship / Job Online-application System, where related internships and other job openings including graduate positions will be posted. Our alumni may wish to know that normally they will still be eligible to use the System after graduation from our School.

The Internship Programme assists students by advertising part-time, summer, temporary and full-time internship positions, sending the CVs of interested students to employers, and arranging interviews for shortlisted students.

For details about our Internship Programme, please visit: https://saasweb.hku.hk/teaching/internship-details.php

The Professional Core in Risk Management aims to provide students with the skills and expertise in the theory and methodology behind the scientific process of risk management, with application to quantitative modelling, financial risk analysis, statistics and other related areas of interest. It is designed to provide solid training in the concepts of the risk management process, statistical models and methods of risk management, and good risk management practice.

Risk Management students are well equipped with quantitative analytical skills in statistical modelling and modern exposure in risk analysis. The curriculum is closely related to the content of various professional qualifications in investment, finance and risk management, allowing students to better prepare for these credentials before their graduation. They may also establish their start-up companies for risk consulting, financial services and related areas.

The Professional Core in Risk Management aims to provide students with the skills and expertise in the theory and methodology behind the scientific process of risk management, with application to quantitative modelling, financial risk analysis, statistics and other related areas of interest. It is designed to provide solid training in the concepts of the risk management process, statistical models and methods of risk management, and good risk management practice. Core courses in the curriculum emphasize fundamental concepts and nature of risk assessment, risk management and governance from different standpoints while elective courses provide either training in specific Risk Management disciplines or an extension of knowledge aiming to give students more modeling, technical and analytical skills in risk management, including data mining, stochastic calculus, and financial time series modeling. In addition, the School will be applying for Professional Risk Managers’ International Association (PRMIA) accreditation to further strengthen the programme’s comprehensiveness and competitiveness.

Candidates must complete the requirements of one of the professional cores: Statistics, Decision Analytics or Risk Management, as one of the graduation requirements. Professional cores shall be displayed on the transcript and Academic Attainment Profile upon candidates’ completion of the programme and fulfillment of the corresponding professional core requirements. Depending on the professional core, the BStat curriculum comprises 240 credits of courses with the following structures:

Please click here for the syllabuses.

There is no better training than obtaining solid hands-on experience in the real workplace. Our Internship Programme serves precisely this purpose. As an intern, the student will gain insight into the challenging world and daily activities of a data analyst, a risk manager and a statistician while strengthening his/her technical, analytical and communication skills.

Under the Internship Programme, students admitted to 6779 Statistical Decision Sciences or who declare Decision Analytics / Risk Management / Statistics as their First Major are eligible to use the School’s Internship / Job Online-application System, where related internships and other job openings including graduate positions will be posted. Our alumni may wish to know that normally they will still be eligible to use the System after graduation from our School.

The Internship Programme assists students by advertising part-time, summer, temporary and full-time internship positions, sending the CVs of interested students to employers, and arranging interviews for shortlisted students.

For details about our Internship Programme, please visit: https://saasweb.hku.hk/teaching/internship-details.php

The Professional Core in Statistics focuses on the study of statistics, a scientific discipline characterised by the development and applications of analytical and quantitative tools which involve logical thinking, problem formulation, probability reasoning and intensive data analyses. The programme aims to equip students with powerful mathematical, analytical and computational skills, which are in great demand in practical areas where data are obtained for the purpose of extracting information in support of decision making. It gives students a strong background in statistical concepts and provides broad and solid training in applied statistical methodologies.

The statistical skills acquired by our Statistics graduates empower them to play a crucial role in many important job positions requiring quantitative mindset and analytical ability. Some of our graduates had worked in government bodies as Statisticians, Research Managers, as well as in the commercial sectors as Statistical Analysts, Marketing Associates, and Associate Officer (Business Intelligence).

Alumni of our programme include professionals from institutions and organisations such as the Census and Statistics Department, Hospital Authority, various financial and education institutions, just to name a few.

The Professional Core in Statistics focuses on the study of statistics, a scientific discipline characterized by the development and applications of analytical and quantitative tools which involve logical thinking, problem formulation, probability reasoning and intensive data analyses. The programme aims to equip students with powerful mathematical, analytical and computational skills, which are in great demand in practical areas where data are obtained for the purpose of extracting information in support of decision making. It gives students a strong background in statistical concepts, and provides broad and solid training in applied statistical methodologies. The curriculum is constantly revised to meet a steadily rising demand for specialist statisticians or quantitative analysts in government, business, finance, industry, as well as in research and teaching in local and overseas institutions.

Candidates must complete the requirements of one of the professional cores: Statistics, Decision Analytics or Risk Management, as one of the graduation requirements. Professional cores shall be displayed on the transcript and Academic Attainment Profile upon candidates’ completion of the programme and fulfillment of the corresponding professional core requirements. Depending on the professional core, the BStat curriculum comprises 240 credits of courses with the following structures:

Please click here for the syllabuses.

There is no better training than obtaining solid hands-on experience in the real workplace. Our Internship Programme serves precisely this purpose. As an intern, the student will gain insight into the challenging world and daily activities of a data analyst, a risk manager and a statistician while strengthening his/her technical, analytical and communication skills.

Under the Internship Programme, students admitted to 6779 Statistical Decision Sciences or who declare Decision Analytics / Risk Management / Statistics as their First Major are eligible to use the School’s Internship / Job Online-application System, where related internships and other job openings including graduate positions will be posted. Our alumni may wish to know that normally they will still be eligible to use the System after graduation from our School.

The Internship Programme assists students by advertising part-time, summer, temporary and full-time internship positions, sending the CVs of interested students to employers, and arranging interviews for shortlisted students.

For details about our Internship Programme, please visit: https://saasweb.hku.hk/teaching/internship-details.php