Undergraduate Programme Specification
BSc Actuarial Science and Risk Management
Academic Year 2021/22
A programme specification is required for any programme on which a student may be registered. All programmes of the University are subject to the University's Quality Assurance processes. All degrees are awarded by Queen's University Belfast.
Programme Title | BSc Actuarial Science and Risk Management | Final Award (exit route if applicable for Postgraduate Taught Programmes) |
Bachelor of Science | |||||||||||
Programme Code | ACT-BSC-S | UCAS Code | N323 | HECoS Code |
100106 - Actuarial science - 100 |
ATAS Clearance Required | No | |||||||||||||
Mode of Study | Full Time | |||||||||||||
Type of Programme | Single Honours | Length of Programme | Full Time - 4 Academic Year(s) | Total Credits for Programme | 480 | |||||||||
Exit Awards available |
Institute Information
Teaching Institution |
Queen's University Belfast |
School/Department |
Queen's Business School |
Quality Code Higher Education Credit Framework for England |
Level 6 |
Subject Benchmark Statements The Frameworks for Higher Education Qualifications of UK Degree-Awarding Bodies |
Finance (2019) |
Accreditations (PSRB) |
|
Institute and Faculty of Actuaries |
Date of most recent Accreditation Visit 06-11-14 |
Regulation Information
Does the Programme have any approved exemptions from the University General Regulations None |
Programme Specific Regulations This programme requires students to undertake a work-based placement at Stage 3 of the programme. |
Students with protected characteristics
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Are students subject to Fitness to Practise Regulations (Please see General Regulations) No |
Educational Aims Of Programme
Within the context of the University’s mission statement the BSc in Actuarial Science and Risk Management aims to:
Foster a stimulating and supportive learning environment which promotes intellectual, professional and personal development.
Develop students' skills base, leadership capacity and connections with practice in ways which will enhance their ability to make valuable contributions to the economy and society.
Promote engagement with issues of ethics, responsibility and sustainability, and maintain respect for social and cultural differences, showing openness, fairness, and equality of opportunity in relation to selection, learning, assessment, and support.
Provide students with the opportunity to pursue appropriately demanding programmes of study focused on actuarial science, mathematics, statistics, probability, finance, and economics
Through the placement year provide students with a high quality work experience offering them the opportunity to bridge the gap between study at university and the actuarial work environment.
Learning Outcomes
Learning Outcomes: Cognitive SkillsOn the completion of this course successful students will be able to: |
|
critically evaluate information |
Teaching/Learning Methods and Strategies Cognitive skills are developed across modules and between stages. A combination of teaching methods are used to enhance these skills. Students are encouraged to evaluate information and think independently throughout their course, in lectures, small group tutorials, and interactive learning sessions Methods of Assessment A combination of assessment methods including assignments, presentations, class tests and examinations are used to evaluate cognitive skills. Students are awarded marks for their ability to demonstrate critical thinking and originality. |
Learning Outcomes: Transferable SkillsOn the completion of this course successful students will be able to: |
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communicate ideas in both written and presentational forms |
Teaching/Learning Methods and Strategies Transferable skills development permeates teaching and learning throughout the degree programme. The teaching and learning environment is supportive of the need to assist students in developing and enhancing their communication, IT, team working and employability skills Methods of Assessment Students are asked to prepare and deliver presentations, and structure and write assignments, which encourages them to improve their oral and written communication skills. These formats also give students experience of using a range of software, and allows them to advance their technical abilities. Some assessments are group based, which helps develop an awareness of how to work as a team, whilst others are individual based, which promotes time management skills. |
Learning Outcomes: Knowledge & UnderstandingOn the completion of this course successful students will be able to: |
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appreciate the importance of internationalisation |
Teaching/Learning Methods and Strategies The BSc in Actuarial Science and Risk Management follows a structured curriculum based upon modules in actuarial modelling, the work environment, mathematics, statistics, probability, finance and economics. Methods of Assessment End-of-term examinations, class tests, individual and group projects, take home tests and individual and group oral presentations are used to assess student learning. The placement component is assessed by way of tutor visits to the work place, a mentor report, student reflective reports, a ‘portfolio of evidence’ and student presentation. |
Learning Outcomes: Subject SpecificOn the completion of this course successful students will be able to: |
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use statistical, mathematical and demographic techniques to analyse actuarial problems |
Teaching/Learning Methods and Strategies Mathematical and statistical skills, through problem solving, constructing proofs and computer application, are at the core of all actuarial work and consequently these are core elements in each year of the degree and are built upon across modules and between levels of the programme. The economic and financial environment both influences and generates the work in which actuaries are involved and therefore in these areas problem solving, data analysis and computer application skills are developed throughout the programme. In addition, up-to-date finance and economic literature is integrated into the curriculum, with an important element being the ongoing development of the students’ ability to communicate, debate and critique this literature Methods of Assessment Both summative and formative assessment methods are used throughout all modules. |
Module Information
Stages and Modules
Module Title | Module Code | Level/ stage | Credits | Availability |
Duration | Pre-requisite | Assessment |
|||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
S1 | S2 | Core | Option | Coursework % | Practical % | Examination % | ||||||
Financial Reporting and Analysis | FIN1003 | 1 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Actuarial Mathematics 1 | FIN1013 | 1 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Introduction to Probability & Statistics | SOR1020 | 1 | 30 | YES | YES | 24 weeks | N | YES | 0% | 100% | 0% | |
Introduction to Statistical and Operational Research Methods | SOR1021 | 1 | 10 | YES | 12 weeks | N | YES | 0% | 100% | 0% | ||
Economy, Society, and Public Policy 1 | ECO1015 | 1 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Economy, Society, and Public Policy 2 | ECO1016 | 1 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Actuarial Placement Preparation | FIN1015 | 1 | 0 | YES | 12 weeks | N | YES | 0% | 10% | 90% | ||
Investment Analysis | FIN2010 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Principles of Actuarial Modelling | FIN2012 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Actuarial methods in General Insurance | FIN2017 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Actuarial Mathematics 2 | FIN2018 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Excel and VBA | FIN2020 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 75% | 0% | ||
Financial Risk Modelling | FIN2021 | 2 | 20 | YES | 12 weeks | N | YES | 40% | 60% | 0% | ||
Actuarial Placement Learning | FIN2023 | 2 | 0 | YES | YES | 24 weeks | N | YES | 0% | 100% | 0% | |
Queen's Management School Placement Year | FIN3333 | 3 | 120 | YES | YES | 40 weeks | N | YES | 70% | 30% | 0% | |
Equity Research | FIN3013 | 4 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Financial Engineering | FIN3017 | 4 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Actuarial Modelling | FIN3019 | 4 | 20 | YES | 12 weeks | N | YES | 10% | 0% | 90% | ||
Stochastic Processes for Finance | FIN3021 | 4 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Actuarial Applications | FIN3022 | 4 | 20 | YES | 12 weeks | N | YES | 100% | 0% | 0% | ||
Actuarial Econometrics and Data Science | FIN3026 | 4 | 20 | YES | 12 weeks | N | YES | 0% | 40% | 60% |
Notes