Actuarial Science and Risk Management
Belfast , United Kingdom
Visit Program Website
Tuition Fee
GBP 22,800
Per year
Start Date
2026-09-01
Medium of studying
On campus
Duration
48 months
Details
Program Details
Degree
Bachelors
Major
Risk Management | Actuarial Science
Area of study
Business and Administration | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 22,800
Intakes
| Program start date | Application deadline |
| 2026-09-01 | - |
| 2027-09-01 | - |
About Program
Program Overview
Queen's University Belfast
Overview
Queen's University Belfast is a public research university in Belfast, Northern Ireland. The university offers a wide range of undergraduate and postgraduate programs across various disciplines.
Study
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Actuarial Science and Risk Management
Overview
The BSc Actuarial Science and Risk Management programme has been designed by qualified actuaries to enable students to develop the theoretical and practical skills required to pursue a career as an actuary in the pensions and insurance sectors, or in the wider financial industry.
Course Structure
The programme is designed to provide students with a comprehensive understanding of actuarial science and risk management, including:
- Foundations of Economics 2: A module that builds on the material covered in Foundations of Economics 1, focusing on the application of economic theory to real-world problems.
- Employability Preparation Module: A module that prepares students for placement opportunities and helps them develop employability skills.
- Foundations of Economics 1: A module that introduces students to the principles of economics and the global economy.
- Introduction to Statistical and Operational Research Methods: A module that introduces students to statistical and operational research methods, including linear programming, decision theory, and random sampling.
- Actuarial Mathematics 1: A module that introduces students to actuarial mathematics, including the time value of money, interest rates, and force of interest.
- Introduction to Probability & Statistics: A module that introduces students to probability theory and statistical methods, including discrete and continuous random variables, standard distributions, and hypothesis testing.
Modules
- Foundations of Economics 2: A module that builds on the material covered in Foundations of Economics 1, focusing on the application of economic theory to real-world problems.
- Employability Preparation Module: A module that prepares students for placement opportunities and helps them develop employability skills.
- Foundations of Economics 1: A module that introduces students to the principles of economics and the global economy.
- Introduction to Statistical and Operational Research Methods: A module that introduces students to statistical and operational research methods, including linear programming, decision theory, and random sampling.
- Actuarial Mathematics 1: A module that introduces students to actuarial mathematics, including the time value of money, interest rates, and force of interest.
- Introduction to Probability & Statistics: A module that introduces students to probability theory and statistical methods, including discrete and continuous random variables, standard distributions, and hypothesis testing.
- Employability Module: A module that prepares students for placement opportunities and helps them develop employability skills.
- Excel Analysis: A module that introduces students to advanced spreadsheet analysis using Excel.
- Financial Risk Modelling: A module that introduces students to financial risk modelling, including model analysis and reporting.
- Actuarial Mathematics 2: A module that builds on the material covered in Actuarial Mathematics 1, focusing on the application of actuarial mathematics to real-world problems.
- Principles of Actuarial Modelling: A module that introduces students to the principles of actuarial modelling, including stochastic processes and survival models.
- Actuarial methods in General Insurance: A module that introduces students to actuarial methods in general insurance, including loss distributions and time series.
- Investment Analysis: A module that introduces students to investment analysis, including firm valuation, valuation techniques, and portfolio management.
- Employability Module: A module that prepares students for placement opportunities and helps them develop employability skills.
- Actuarial Applications: A module that introduces students to actuarial applications, including pension schemes, pension fund investment, and investment strategy.
- Actuarial Econometrics and Data Science: A module that introduces students to actuarial econometrics and data science, including statistical techniques and data analysis.
- Stochastic Processes for Finance: A module that introduces students to stochastic processes for finance, including Wiener processes, Markov processes, and martingales.
- Actuarial Modelling: A module that builds on the material covered in Principles of Actuarial Modelling, focusing on the application of actuarial modelling to real-world problems.
- Financial Engineering: A module that introduces students to financial engineering, including forwards, futures, options, and swaps.
- Equity Research: A module that introduces students to equity research, including firm valuation, valuation techniques, and portfolio management.
Learning Outcomes
Upon successful completion of the programme, students will be able to:
- Understand the principles of actuarial science and risk management
- Apply actuarial techniques to real-world problems
- Analyze and interpret data using statistical and operational research methods
- Develop employability skills, including communication, teamwork, and problem-solving
- Understand the principles of actuarial modelling, including stochastic processes and survival models
- Apply actuarial methods in general insurance, including loss distributions and time series
- Understand investment analysis, including firm valuation, valuation techniques, and portfolio management
- Develop skills in financial risk modelling, including model analysis and reporting
- Understand the principles of actuarial applications, including pension schemes, pension fund investment, and investment strategy
- Apply actuarial econometrics and data science, including statistical techniques and data analysis
- Understand stochastic processes for finance, including Wiener processes, Markov processes, and martingales
- Develop skills in actuarial modelling, including the application of actuarial techniques to real-world problems
- Understand financial engineering, including forwards, futures, options, and swaps
- Develop skills in equity research, including firm valuation, valuation techniques, and portfolio management
Skills
- Numerical and problem-solving skills: Students will develop numerical and problem-solving skills through the application of actuarial techniques to real-world problems.
- Communication and teamwork skills: Students will develop communication and teamwork skills through group work and presentations.
- Data analysis and interpretation skills: Students will develop data analysis and interpretation skills through the use of statistical and operational research methods.
- Employability skills: Students will develop employability skills, including communication, teamwork, and problem-solving.
- Actuarial modelling skills: Students will develop actuarial modelling skills, including the application of stochastic processes and survival models.
- Financial risk modelling skills: Students will develop financial risk modelling skills, including model analysis and reporting.
- Investment analysis skills: Students will develop investment analysis skills, including firm valuation, valuation techniques, and portfolio management.
- Actuarial applications skills: Students will develop skills in actuarial applications, including pension schemes, pension fund investment, and investment strategy.
- Actuarial econometrics and data science skills: Students will develop skills in actuarial econometrics and data science, including statistical techniques and data analysis.
- Stochastic processes for finance skills: Students will develop skills in stochastic processes for finance, including Wiener processes, Markov processes, and martingales.
- Financial engineering skills: Students will develop skills in financial engineering, including forwards, futures, options, and swaps.
- Equity research skills: Students will develop skills in equity research, including firm valuation, valuation techniques, and portfolio management.
Assessment
- Coursework: 30%
- Examination: 70%
- Practical: 0%
Facilities
- Bloomberg software: Students will have access to Bloomberg software, a market leader in financial news, data, and analytics.
- Trading Room: The Trading Room allows for an interactive and exciting learning environment, bringing textbook theory to life.
What our academics say
- "The Actuarial Science and Risk Management Degree exposes students to the key principles of Actuarial Science and facilitates the practical application of theory developed in lectures. With the opportunity to undertake a placement in industry, students are able to develop the softer skills, in addition to the academic skills, that employers look for in potential employees." - Neil McConville FIA, lecturer in Actuarial Science and Risk Management
Career Prospects
- Employment after the Course: Students can pursue careers in actuarial science, risk management, and finance, including roles in pensions, insurance, and investment.
- Employment Links: The university has links with employers in the actuarial and financial industries, including KPMG, Canada Life, Irish Life, and Aviva.
- Alumni Success: Alumni have gone on to work in a range of roles, including actuarial consultant, risk manager, and investment analyst.
- Professional Opportunities: Students can pursue professional qualifications, including the Institute and Faculty of Actuaries (IFoA) exams.
Prizes and Awards
- SCOR Global Life: A prize for the best student in Actuarial Science and Risk Management.
- Mercer: A prize for the best student in Actuarial Science and Risk Management.
- Spence and Partners: A prize for the best student in Actuarial Science and Risk Management.
- Acumen Resources: A prize for the best student in Actuarial Science and Risk Management.
- XPS: A prize for the best student in Actuarial Science and Risk Management.
Degree Plus/Future Ready Award
- Degree Plus: A award that recognizes students' extra-curricular activities and skills.
- Future Ready Award: A award that recognizes students' employability skills and readiness for the workforce.
Scholarships
- International Scholarships: Scholarships available for international students.
- Scholarships: Scholarships available for students, including the Queen's University Belfast Scholarship.
How to Apply
- Application: Students can apply through UCAS or directly to the university.
- Admissions: The university's admissions process, including entry requirements and deadlines.
- Fees and Funding: Information on tuition fees and funding opportunities.
Terms and Conditions
- Terms and Conditions: The university's terms and conditions, including policies on admissions, fees, and student conduct.
Additional Information for International (non-EU) Students
- Applying through UCAS: Information on applying through UCAS for international students.
- Applying direct: Information on applying directly to the university for international students.
- Applying through agents and partners: Information on applying through agents and partners for international students.
- English Language Requirements: Information on English language requirements for international students.
- International Scholarships: Scholarships available for international students.
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