MSc Actuarial Science
September 2026
Full time
18 months
Suzhou
This programme leads to a University of Liverpool degree which is recognised by Ministry of Education, China.
Knowledge and skills
The modules offered in this programme will provide strong theoretical foundations and practical skills in mathematics, statistics, insurance, actuarial science, quantitative finance and business management. Those knowledge and skills can not only apply to traditional industries such as insurance, financial markets and emerging markets, but also involve with medical and health institutions, government management institutions, industry and engineering, education and agriculture, etc.
Through the study of these core modules, students will gain professional knowledge in following fields:
- Life and non-life insurance pricing and reserving
- Data analysis and predictive analytics for insurance and finance
- Probability and statistical models and methods in actuarial science and quantitative finance
- Asset and liability valuation models
- Insurance and financial risk measurement and management
- Corporate financial management
Upon graduation, students will be able to:
- Implement core mathematical, statistical and computational knowledge and skills in practical tasks related to the insurance, finance and risk management fields.
- Understand and fulfil the role of an actuary in a commercial or regulatory organisation.
- Apply relevant methodologies appropriately in the analysis and process of different data.
- Put into practice the programming skills learned with software such as R, MATLAB, Python and Excel for financial and actuarial modelling.
- Undertake projects using scientific research methodologies.
MSc Actuarial Science is a programme critical for gaining the skills and knowledge that will lead to professional actuarial success, and provides a sound education in mathematics, statistics and data analysis, finance, risk management and insurance.
Dr Ran Xu
Programme Director
Modules
*Programme modules listed are illustrative only and subject to change. XJTLU students are advised to log in to the e-Bridge Portal to view the effectuated module structure.
Semester 1
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Actuarial Mathematics
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Stochastic Modelling in Actuarial Science
Semester 2
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Actuarial Modelling
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Life Insurance Mathematics
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Advanced Statistical Learning Theory
Semester 3
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Dissertation Project
Semester 1
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Microeconomics
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Computational Methods in Finance I
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Introduction to Pricing and Hedging
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Mathematics And Statistics For Data Science
Semester 2
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Computational Methods in Finance II
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Neural Networks And Deep Learning
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Corporate Finance for Insurance
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Quantitative Risk Management
The study of actuarial science at XJTLU has helped me find the motivation and goal to pursue a life in academic research.
Yixin Sun
PhD candidate of insurance at CUFE, MSc. Actuarial Science 2023 class
The study of actuarial science at XJTLU enhances us statistics and finance knowledge and professional skills such as coding and mathematical modeling, which is valuable in both academic and career.
Dengfeng Pan
Game Designer (Combat & Balancing) at Netease(ThunderFire),? MSc. Actuarial Science 2023 class
Careers
Some of our graduates become actuarial trainees and study for professional examinations. Others embark on some of the following lucrative careers:
- Investment banking and investment management
- Accountancy
- Commercial banking
- Insurance
- Financial analysis
- Management
- Consulting
- Regulation
- Computing and programming
- Research and teaching.
Overview
Actuarial Science constitutes an interdisciplinary field integrating mathematics, probability theory, statistics, insurance studies, quantitative finance, and risk management. This program rigorously aligns with the Society of Actuaries (SOA) examination framework while incorporating contemporary data science methodologies, cultivating professionals with dual competencies in actuarial techniques and big data predictive analytics. The curriculum encompasses core SOA examination components—Probability Theory & Stochastic Processes, Financial Mathematics, Long-Term and Short-Term Actuarial Mathematics, Statistical Learning & Predictive Analytics supplemented by compulsory and elective courses in statistical (machine) learning.
This programme (jointly administered with XJTLU’s BSc Actuarial Science) holds the Society of Actuaries’ University and Colleges Actuarial Program – Advanced Curriculum (UCAP-AC) accreditation. VEE course exemptions are subject to current SOA policy (refer to official SOA guidelines).
Why study Actuarial Science at XJTLU?