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The Risk Management Science Programme has been the leading pioneer in nurturing well trained professionals in the risk management fields since its foundation in 2000. The Programme is suitable for students who have strong aspirations towards mathematical and scientific methodologies, and are interested to pursue a career in the financial industry and related areas.
The curriculum of the Risk Management Science Programme is designed to equip students with the knowledge and skills to understand risk management from both theoretical and application perspectives in insurance, finance and other related areas. As risk management is an interdisciplinary subject, in addition to statistics, our students will receive a solid training in other foundation subjects including finance, economics, accounting, mathematics and computer science.
To meet the financial industry’s increasing demand for data talents and experts in the epoch of Big Data, the Programme launches a new Risk Analytics study stream, for elite students who are interested in pursuing frontier knowledge in big data and a career in the finance industry. The Risk Analytics Stream places emphasis on statistical science and computer science, including but not limited to subjects such as statistical inference, actuarial science and financial mathematics. Upon graduation, students are well-equipped to become professional risk managers with a strong background in data science and data analytics.
Programme overview
Main Subject
Finance
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The Risk Management Science Programme has been the leading pioneer in nurturing well trained professionals in the risk management fields since its foundation in 2000. The Programme is suitable for students who have strong aspirations towards mathematical and scientific methodologies, and are interested to pursue a career in the financial industry and related areas.
The curriculum of the Risk Management Science Programme is designed to equip students with the knowledge and skills to understand risk management from both theoretical and application perspectives in insurance, finance and other related areas. As risk management is an interdisciplinary subject, in addition to statistics, our students will receive a solid training in other foundation subjects including finance, economics, accounting, mathematics and computer science.
To meet the financial industry’s increasing demand for data talents and experts in the epoch of Big Data, the Programme launches a new Risk Analytics study stream, for elite students who are interested in pursuing frontier knowledge in big data and a career in the finance industry. The Risk Analytics Stream places emphasis on statistical science and computer science, including but not limited to subjects such as statistical inference, actuarial science and financial mathematics. Upon graduation, students are well-equipped to become professional risk managers with a strong background in data science and data analytics.
Admission Requirements
1190+
30+
6+
24+
80+
80+
4 Years
Sep
Domestic
5,722 USD
International
22,891 USD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Risk Management Science
CUHK, Hong Kong, Hong Kong SAR
48 monthsProgramme duration
22,891 USDTuition Fee/year
FinanceMain Subject Area
Programme overview
Main Subject
Finance
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The Risk Management Science Programme has been the leading pioneer in nurturing well trained professionals in the risk management fields since its foundation in 2000. The Programme is suitable for students who have strong aspirations towards mathematical and scientific methodologies, and are interested to pursue a career in the financial industry and related areas.
The curriculum of the Risk Management Science Programme is designed to equip students with the knowledge and skills to understand risk management from both theoretical and application perspectives in insurance, finance and other related areas. As risk management is an interdisciplinary subject, in addition to statistics, our students will receive a solid training in other foundation subjects including finance, economics, accounting, mathematics and computer science.
To meet the financial industry’s increasing demand for data talents and experts in the epoch of Big Data, the Programme launches a new Risk Analytics study stream, for elite students who are interested in pursuing frontier knowledge in big data and a career in the finance industry. The Risk Analytics Stream places emphasis on statistical science and computer science, including but not limited to subjects such as statistical inference, actuarial science and financial mathematics. Upon graduation, students are well-equipped to become professional risk managers with a strong background in data science and data analytics.
Programme overview
Main Subject
Finance
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The Risk Management Science Programme has been the leading pioneer in nurturing well trained professionals in the risk management fields since its foundation in 2000. The Programme is suitable for students who have strong aspirations towards mathematical and scientific methodologies, and are interested to pursue a career in the financial industry and related areas.
The curriculum of the Risk Management Science Programme is designed to equip students with the knowledge and skills to understand risk management from both theoretical and application perspectives in insurance, finance and other related areas. As risk management is an interdisciplinary subject, in addition to statistics, our students will receive a solid training in other foundation subjects including finance, economics, accounting, mathematics and computer science.
To meet the financial industry’s increasing demand for data talents and experts in the epoch of Big Data, the Programme launches a new Risk Analytics study stream, for elite students who are interested in pursuing frontier knowledge in big data and a career in the finance industry. The Risk Analytics Stream places emphasis on statistical science and computer science, including but not limited to subjects such as statistical inference, actuarial science and financial mathematics. Upon graduation, students are well-equipped to become professional risk managers with a strong background in data science and data analytics.
Admission Requirements
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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