Postgraduate Programme Specification
MSc Risk and Investment Management
Academic Year 2022/23
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 | MSc Risk and Investment Management | Final Award (exit route if applicable for Postgraduate Taught Programmes) |
Master of Science | |||||||||||
Programme Code | MGT-MSC-IM | UCAS Code | HECoS Code |
100835 - Financial risk - 100 |
ATAS Clearance Required |
No |
Health Check Required |
No |
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Portfolio Required |
-- |
Interview Required |
-- |
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Mode of Study | Full Time | |||||||||||||
Type of Programme | Postgraduate | Length of Programme |
Full Time - 1 Academic Year |
Total Credits for Programme | 180 | |||||||||
Exit Awards available | No |
Institute Information
Teaching Institution |
Queen's University Belfast |
School/Department |
Queen's Business School |
Quality Code Higher Education Credit Framework for England |
Level 7 |
Subject Benchmark Statements The Frameworks for Higher Education Qualifications of UK Degree-Awarding Bodies |
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Accreditations (PSRB) |
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Professional Risk Managers |
Date of most recent Accreditation Visit 01-09-12 |
GARP |
Date of most recent Accreditation Visit 03-03-14 |
Regulation Information
Does the Programme have any approved exemptions from the University General Regulations No |
Programme Specific Regulations Programme Requirements |
Students with protected characteristics N/A |
Are students subject to Fitness to Practise Regulations (Please see General Regulations) No |
Educational Aims Of Programme
Within the context of striving towards the University’s mission statement, the MSc Risk and Investment Management aims to:
•foster a stimulating and supportive learning environment which promotes intellectual, professional and personal development
•encourage critical thinking, independent enquiry, and an international outlook
•develop the skills necessary to undertake independent research and continuing professional 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 and 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 asset pricing, research methods in finance, corporate finance, financial regulations and risk management, time series financial econometrics, the pricing of derivatives and credit risk management
Learning Outcomes
Learning Outcomes: Cognitive SkillsOn the completion of this course successful students will be able to: |
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Problem solve |
Teaching/Learning Methods and Strategies Cognitive skills are developed across the modules within the degree programme. The numerical and statistical components of the modules focus particularly on problem solving, logical reasoning and data management and analysis using statistical packages. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements in all modules. Self-assessment and reflection are developed by formative feedback particularly on tutorial presentations and within the group work assignments. Methods of Assessment Assessment of cognitive skills, both summative and formative, occurs in the form of course homework, oral presentations, project work and examinations. |
Reason logically |
Teaching/Learning Methods and Strategies Cognitive skills are developed across the modules within the degree programme. The numerical and statistical components of the modules focus particularly on problem solving, logical reasoning and data management and analysis using statistical packages. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements in all modules. Self-assessment and reflection are developed by formative feedback particularly on tutorial presentations and within the group work assignments. Methods of Assessment Assessment of cognitive skills, both summative and formative, occurs in the form of course homework, oral presentations, project work and examinations. |
Conduct independent enquiry |
Teaching/Learning Methods and Strategies Cognitive skills are developed across the modules within the degree programme. The numerical and statistical components of the modules focus particularly on problem solving, logical reasoning and data management and analysis using statistical packages. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements in all modules. Self-assessment and reflection are developed by formative feedback particularly on tutorial presentations and within the group work assignments. Methods of Assessment Assessment of cognitive skills, both summative and formative, occurs in the form of course homework, oral presentations, project work and examinations. |
Critically evaluate and interpret |
Teaching/Learning Methods and Strategies Cognitive skills are developed across the modules within the degree programme. The numerical and statistical components of the modules focus particularly on problem solving, logical reasoning and data management and analysis using statistical packages. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements in all modules. Self-assessment and reflection are developed by formative feedback particularly on tutorial presentations and within the group work assignments. Methods of Assessment Assessment of cognitive skills, both summative and formative, occurs in the form of course homework, oral presentations, project work and examinations. |
Self-assess and reflect |
Teaching/Learning Methods and Strategies Cognitive skills are developed across the modules within the degree programme. The numerical and statistical components of the modules focus particularly on problem solving, logical reasoning and data management and analysis using statistical packages. Independent enquiry, critical evaluation and interpretation, abstraction and assimilation are key elements in all modules. Self-assessment and reflection are developed by formative feedback particularly on tutorial presentations and within the group work assignments. Methods of Assessment Assessment of cognitive skills, both summative and formative, occurs in the form of course homework, oral presentations, project work and examinations. |
Learning Outcomes: Transferable SkillsOn the completion of this course successful students will be able to: |
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Organise and manage their time |
Teaching/Learning Methods and Strategies Transferable skills development will permeate the teaching and learning on the degree programme. Successful completion of coursework requires students to gather information from a range of sources, select and assimilate relevant information and to complete tasks within deadlines. Methods of Assessment Assessment of coursework requires students to use a range of media (e.g., worked solutions and proofs, essays, presentations, statistical based project work) to demonstrate their learning. Completion of the dissertation or applied research project develops skills in independent research enquiry, data analysis and presentation. |
Synthesise and evaluate information/data from a variety of sources including from databases, books, journal articles and the internet. |
Teaching/Learning Methods and Strategies Transferable skills development will permeate the teaching and learning on the degree programme. Successful completion of coursework requires students to gather information from a range of sources, select and assimilate relevant information and to complete tasks within deadlines. Methods of Assessment Assessment of coursework requires students to use a range of media (e.g., worked solutions and proofs, essays, presentations, statistical based project work) to demonstrate their learning. Completion of the dissertation or applied research project develops skills in independent research enquiry, data analysis and presentation. |
Work both independently and in groups |
Teaching/Learning Methods and Strategies Transferable skills development will permeate the teaching and learning on the degree programme. Successful completion of coursework requires students to gather information from a range of sources, select and assimilate relevant information and to complete tasks within deadlines. Methods of Assessment Assessment of coursework requires students to use a range of media (e.g., worked solutions and proofs, essays, presentations, statistical based project work) to demonstrate their learning. Completion of the dissertation or applied research project develops skills in independent research enquiry, data analysis and presentation. |
Make effective use of information technology including relevant subject-specific packages |
Teaching/Learning Methods and Strategies Transferable skills development will permeate the teaching and learning on the degree programme. Successful completion of coursework requires students to gather information from a range of sources, select and assimilate relevant information and to complete tasks within deadlines. Methods of Assessment Assessment of coursework requires students to use a range of media (e.g., worked solutions and proofs, essays, presentations, statistical based project work) to demonstrate their learning. Completion of the dissertation or applied research project develops skills in independent research enquiry, data analysis and presentation. |
Communicate ideas in both written and presentational forms |
Teaching/Learning Methods and Strategies Transferable skills development will permeate the teaching and learning on the degree programme. Successful completion of coursework requires students to gather information from a range of sources, select and assimilate relevant information and to complete tasks within deadlines. Methods of Assessment Assessment of coursework requires students to use a range of media (e.g., worked solutions and proofs, essays, presentations, statistical based project work) to demonstrate their learning. Completion of the dissertation or applied research project develops skills in independent research enquiry, data analysis and presentation. |
Confidently engage with the world of practice |
Teaching/Learning Methods and Strategies Transferable skills development will permeate the teaching and learning on the degree programme. Successful completion of coursework requires students to gather information from a range of sources, select and assimilate relevant information and to complete tasks within deadlines. Methods of Assessment Assessment of coursework requires students to use a range of media (e.g., worked solutions and proofs, essays, presentations, statistical based project work) to demonstrate their learning. Completion of the dissertation or applied research project develops skills in independent research enquiry, data analysis and presentation. |
Learning Outcomes: Knowledge & UnderstandingOn the completion of this course successful students will be able to: |
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Appreciate diversity and be capable of placing issues within their local and international contexts |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
Engage with issues around ethics, responsibility and sustainability |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
The theoretical and conceptual underpinnings of risk management and financial regulation. |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
The fundamental principles of stochastic processes and time series econometrics in financial regulations and risk analysis |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
The evaluation and assessment of different types of financial risk |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
The evaluation, assessment and use of financial instruments to mitigate financial risk |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
The principles of asset pricing and derivatives |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
The relevant computational, quantitative and statistical techniques |
Teaching/Learning Methods and Strategies The MSc Risk and Investment Management follows a structured curriculum based upon current thinking in asset pricing, research methods in finance, corporate finance, derivatives, time-series financial econometrics, financial regulation and risk management as well as credit risk management. Methods of Assessment Examinations, individual and group projects, oral presentations and case study investigations are used to assess student learning. |
Learning Outcomes: Subject SpecificOn the completion of this course successful students will be able to: |
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The ability to construct arguments and exercise problem solving skills in the context of theories of finance and risk management |
Teaching/Learning Methods and Strategies Mathematical skills, through problem solving, and computer application, are at the core of the work undertaken by specialists in financial regulation and risk management. Consequently, these are core elements in each semester of the degree and are built upon across modules and throughout the course of the programme. The economic and financial environment both influences and generates the work in which risk specialists are involved and therefore in these areas problem solving, data analysis and computer application skills are developed and built upon across modules. In addition, up-to-date finance, economic and risk related 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 modules. |
The ability to use computer-based mathematical / statistical / econometric packages to analyse and evaluate relevant data |
Teaching/Learning Methods and Strategies Mathematical skills, through problem solving, and computer application, are at the core of the work undertaken by specialists in financial regulation and risk management. Consequently, these are core elements in each semester of the degree and are built upon across modules and throughout the course of the programme. The economic and financial environment both influences and generates the work in which risk specialists are involved and therefore in these areas problem solving, data analysis and computer application skills are developed and built upon across modules. In addition, up-to-date finance, economic and risk related 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 modules. |
The ability to read and evaluate finance academic literature |
Teaching/Learning Methods and Strategies Mathematical skills, through problem solving, and computer application, are at the core of the work undertaken by specialists in financial regulation and risk management. Consequently, these are core elements in each semester of the degree and are built upon across modules and throughout the course of the programme. The economic and financial environment both influences and generates the work in which risk specialists are involved and therefore in these areas problem solving, data analysis and computer application skills are developed and built upon across modules. In addition, up-to-date finance, economic and risk related 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 modules. |
The ability to appreciate, construct and analyse mathematical, statistical, financial and economic models of finance and risk management |
Teaching/Learning Methods and Strategies Mathematical skills, through problem solving, and computer application, are at the core of the work undertaken by specialists in financial regulation and risk management. Consequently, these are core elements in each semester of the degree and are built upon across modules and throughout the course of the programme. The economic and financial environment both influences and generates the work in which risk specialists are involved and therefore in these areas problem solving, data analysis and computer application skills are developed and built upon across modules. In addition, up-to-date finance, economic and risk related 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 modules. |
The ability to use Excel and Visual Basic |
Teaching/Learning Methods and Strategies Mathematical skills, through problem solving, and computer application, are at the core of the work undertaken by specialists in financial regulation and risk management. Consequently, these are core elements in each semester of the degree and are built upon across modules and throughout the course of the programme. The economic and financial environment both influences and generates the work in which risk specialists are involved and therefore in these areas problem solving, data analysis and computer application skills are developed and built upon across modules. In addition, up-to-date finance, economic and risk related 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 modules. |
The ability to use the Trading Room and the Bloomberg platform |
Teaching/Learning Methods and Strategies Mathematical skills, through problem solving, and computer application, are at the core of the work undertaken by specialists in financial regulation and risk management. Consequently, these are core elements in each semester of the degree and are built upon across modules and throughout the course of the programme. The economic and financial environment both influences and generates the work in which risk specialists are involved and therefore in these areas problem solving, data analysis and computer application skills are developed and built upon across modules. In addition, up-to-date finance, economic and risk related 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 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 % | ||||||
Asset Pricing | FIN7026 | 7 | 15 | YES | -- | 15 weeks | N | YES | -- | 40% | 0% | 60% |
Times-Series Financial Econometrics | FIN7028 | 7 | 15 | -- | YES | 15 weeks | N | YES | -- | 100% | 0% | 0% |
Enterprise Risk Management & Risk Analytics | FIN7031 | 7 | 15 | -- | YES | 15 weeks | N | YES | -- | 40% | 0% | 60% |
Applied Research Project | FIN9100 | 7 | 60 | -- | YES | 15 weeks | N | YES | -- | 70% | 30% | 0% |
MSc Risk Management and Financial Valuation Dissertation | FIN7025 | 7 | 60 | -- | YES | 15 weeks | N | YES | -- | 100% | 0% | 0% |
Credit Risk Management | FIN7022 | 7 | 15 | -- | YES | 15 weeks | N | YES | -- | 40% | 0% | 60% |
Corporate Finance | FIN9005 | 7 | 15 | YES | -- | 15 weeks | N | YES | -- | 40% | 0% | 60% |
Research Methods in Finance | FIN9008 | 7 | 15 | YES | -- | 15 weeks | N | YES | -- | 30% | 0% | 70% |
Financial Regulation and Risk Management | FIN7021 | 7 | 15 | YES | -- | 15 weeks | N | YES | -- | 40% | 0% | 60% |
Derivatives | FIN9007 | 7 | 15 | -- | YES | 15 weeks | N | YES | -- | 40% | 0% | 60% |
Notes
Students must normally have successfully completed all taught courses of at least 105 CATS before progressing to the applied research project/ dissertation stage of the programme.