BSc Actuarial Science and Risk Management
Academic Year 2018/19
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 |
Bachelor of Science in Actuarial Sci and Risk Mgt |
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Programme Code |
ACT-BSC-S |
UCAS Code |
N323 |
HECoS Code |
100106 |
ATAS Clearance Required |
No |
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Mode of Study |
Full Time |
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Type of Programme |
Single Honours |
Length of Programme |
4 Academic Year(s) |
Total Credits for Programme |
480 |
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Exit Awards available |
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INSTITUTE INFORMATION
Teaching Institution |
Queen's University Belfast |
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School/Department |
Queen's Management School |
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Framework for Higher Education Qualification Level |
Level 6 |
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QAA Benchmark Group |
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Accreditations (PSRB) |
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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:
(i) provide effective systems of learning, academic guidance and pastoral support to encourage the academic, intellectual and personal development of our students
(ii) provide students with the opportunity to pursue appropriately demanding programmes of study focused on actuarial science, mathematics, statistics, probability, finance, and economics
(iii) develop students' knowledge and skills base in ways which inter alia will enhance their employment opportunities
(iv) 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.
(v) maintain a supportive working environment in which there is respect for social and cultural differences and openness, fairness, and equality of opportunity in relation to selection, learning assessment and support
LEARNING OUTCOMES
Learning Outcomes: Cognitive SkillsOn the completion of this course successful students will be able to: |
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problem solving |
Teaching/Learning Methods and Strategies Cognitive skills are developed across modules and between degree levels. The numerical and statistical modules focus particularly on problem solving and logical reasoning. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements particularly in the economics, finance and institution based modules. Self assessment and reflection are developed particularly in the placement learning element of the programme. Methods of Assessment Assessment of cognitive skills occurs in the form of course homeworks, oral presentations, project work, in class tests, small group based assignments and examinations. |
logical reasoning |
Teaching/Learning Methods and Strategies Cognitive skills are developed across modules and between degree levels. The numerical and statistical modules focus particularly on problem solving and logical reasoning. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements particularly in the economics, finance and institution based modules. Self assessment and reflection are developed particularly in the placement learning element of the programme. Methods of Assessment Assessment of cognitive skills occurs in the form of course homeworks, oral presentations, project work, in class tests, small group based assignments and examinations. |
independent enquiry |
Teaching/Learning Methods and Strategies Cognitive skills are developed across modules and between degree levels. The numerical and statistical modules focus particularly on problem solving and logical reasoning. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements particularly in the economics, finance and institution based modules. Self assessment and reflection are developed particularly in the placement learning element of the programme. Methods of Assessment Assessment of cognitive skills occurs in the form of course homeworks, oral presentations, project work, in class tests, small group based assignments and examinations. |
critical evaluation and interpretation |
Teaching/Learning Methods and Strategies Cognitive skills are developed across modules and between degree levels. The numerical and statistical modules focus particularly on problem solving and logical reasoning. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements particularly in the economics, finance and institution based modules. Self assessment and reflection are developed particularly in the placement learning element of the programme. Methods of Assessment Assessment of cognitive skills occurs in the form of course homeworks, oral presentations, project work, in class tests, small group based assignments and examinations. |
self assessment and reflection |
Teaching/Learning Methods and Strategies Cognitive skills are developed across modules and between degree levels. The numerical and statistical modules focus particularly on problem solving and logical reasoning. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements particularly in the economics, finance and institution based modules. Self assessment and reflection are developed particularly in the placement learning element of the programme. Methods of Assessment Assessment of cognitive skills occurs in the form of course homeworks, oral presentations, project work, in class tests, small group based assignments and examinations. |
Learning Outcomes: Transferable SkillsOn the completion of this course successful students will be able to: |
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the ability to synthesise and evaluate information/data from a variety of sources including from databases, books, journal articles and the internet |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
the preparation and communication of mathematical, statistical, finance and actuarial ideas in both written and presentational forms |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
the ability to work both independently and in groups |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
organisation and time management |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
problem solving and critical analysis |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
interview technique and work-based skills |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
the application/ use of Information and Communication Technologies: word-processing, e-mail, internet and mathematical, statistical and econometric packages |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year |
the ability to communicate quantitative and qualitative information together with analysis, argument and commentary in a form appropriate to different intended audiences |
Teaching/Learning Methods and Strategies This is a four year degree programme with the third year spent in a salaried placement with a firm of actuaries. This learning environment allows the students to test their classroom acquired knowledge in a practice based environment and to develop and enhance the full range of transferable skills. Methods of Assessment The development and enhancement of transferable skills are assessed via a range of means; individual and group based presentations and problem solving sets; case study analysis, problem solving and work based activities during the placement year. |
Learning Outcomes: Knowledge & UnderstandingOn the completion of this course successful students will be able to: |
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theory and practice in statistics and actuarial modelling |
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. |
the fundamental principles of stochastic processes and risk analysis |
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. |
the actuarial work environment |
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. |
the theory and application of mathematics with emphasis on calculus, probability, linear programming and algebra |
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. |
the conceptual underpinnings of economics and finance |
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. |
the basic principles of financial reporting and financial statement analysis |
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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the ability to 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. |
the ability to use computer-based/mathematical/statistical/econometric packages to analyse and evaluate relevant data |
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. |
the ability to appreciate, construct and analyse mathematical, statistical, financial and economic models of practical situations |
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. |
the ability to connect business problems with actuarial practice |
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. |
the ability to understand and construct mathematical proofs |
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 | |||||
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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% | ||
Principles of Economics | ECO1001 | 1 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Price Theory | ECO1002 | 1 | 20 | YES | 12 weeks | N | YES | 40% | 0% | 60% | ||
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 | YES | 24 weeks | N | YES | 10% | 30% | 60% | |
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 | 15% | 0% | 85% | ||
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 | 60% | 40% | 0% | ||
Financial Risk Modelling | FIN2021 | 2 | 20 | YES | 12 weeks | N | YES | 40% | 60% | 0% | ||
Queen's Management School Placement Year | FIN3333 | 3 | 120 | YES | YES | 30 weeks | N | YES | 70% | 30% | 0% | |
Capital Markets | FIN3013 | 4 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Financial Engineering | FIN3017 | 4 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Financial Econometrics and Data Science | FIN3018 | 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% |
Notes