Undergraduate Programme Specification
BSc Finance
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 Finance | Final Award (exit route if applicable for Postgraduate Taught Programmes) |
Bachelor of Science | |||||||||||
Programme Code | FIN-BSC-E | UCAS Code | HECoS Code |
100107 - Finance - 100 |
ATAS Clearance Required | No | |||||||||||||
Mode of Study | Full Time | |||||||||||||
Type of Programme | Single Honours | Length of Programme | Full Time - 3 Academic Year(s) | Total Credits for Programme | 360 | |||||||||
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 (2016) |
Accreditations (PSRB) |
Regulation Information
Does the Programme have any approved exemptions from the University General Regulations Degree classification weighting of 10% First Year, 30% Second Year, 60% Final Year. |
Programme Specific Regulations Awards, Credits and Progression of Learning Outcomes |
Students with protected characteristics N/A |
Are students subject to Fitness to Practise Regulations (Please see General Regulations) No |
Educational Aims Of Programme
Foster a stimulating and supportive learning environment which promotes intellectual, professional and personal development
Encourage critical thinking, independent enquiry, and an international outlook
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
Create an academically demanding programme that equips students to integrate theoretical concepts and practical applied problems using rigorous data analysis.
Develop students' ability to analyse, interpret and communicate complex financial ideas to different audiences utilising relevant technology.
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: |
|
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. |
Learning Outcomes: Knowledge & UnderstandingOn the completion of this course successful students will be able to: |
|
appreciate the importance of internationalisation |
Teaching/Learning Methods and Strategies Knowledge transfer in relation to financial institutions and markets primarily takes place in lecture format. Small group tutorials also provide the opportunity for students to discuss and debate these issues in more detail. Practical application of financial theories is typically developed in computer labs using statistical software or in the smaller group Trading Room. The international dimension to various issues are included in modules throughout the course, and concerns around ethics, responsibility and sustainability are embedded when discussing topics. Methods of Assessment Knowledge acquisition and practical application is assessed through a range of class tests, examinations, take home tests, multiple choice tests, projects and presentations. Relevant discussion of the international and ethical aspects to any subject is also regarded as a positive |
Learning Outcomes: Subject SpecificOn the completion of this course successful students will be able to: |
|
obtain, manipulate, empirically analyse and interpret financial data in the practical application of financial theory using relevant technology/statistical packages. |
Teaching/Learning Methods and Strategies Students are encouraged to become proficient using a range of industry relevant software/statistical packages. In Stage 1 students will have the opportunity to identify and extract relevant data using the sources such as Bloomberg or other financial databases. In Stage 2 students are introduced to data manipulation and analysis using applications such as Excel, VBA and the statistical package Stata. In Stage 3 students engage in data analysis using empirical techniques in the statistical package R. Students also have the option to develop technical programming skills relevant to the financial industry using the software Python. Methods of Assessment Practical collection and analysis of data is typically examined using applied research projects. |
Module Information
Stages and Modules
Module Title | Module Code | Level/ stage | Credits | Availability |
Duration | Pre-requisite | Assessment |
|||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
S1 | S2 | Core | Option | Coursework % | Practical % | Examination % | ||||||
Statistical Methods | ECO1003 | 1 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Mathematics for Finance | FIN1002 | 1 | 20 | YES | 12 weeks | N | YES | 100% | 0% | 0% | ||
Financial Reporting and Analysis | FIN1003 | 1 | 20 | YES | 12 weeks | N | YES | 20% | 10% | 70% | ||
Instruments, Markets and Institutions | FIN1004 | 1 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
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% | ||
Investment Analysis | FIN2010 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Monetary Theory | FIN2014 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 75% | 0% | ||
Behavioural Finance | FIN2019 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Excel and VBA | FIN2020 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 75% | 0% | ||
Futures and Options | FIN2022 | 2 | 20 | YES | 12 weeks | N | YES | 25% | 75% | 0% | ||
Introduction to Financial Econometrics | FIN2028 | 2 | 20 | YES | 12 weeks | N | YES | 40% | 0% | 60% | ||
Equity Research | FIN3013 | 3 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
International Finance | FIN3015 | 3 | 20 | YES | 12 weeks | N | YES | 0% | 100% | 0% | ||
Corporate Finance | FIN3016 | 3 | 20 | YES | 12 weeks | N | YES | 75% | 25% | 0% | ||
Financial Engineering | FIN3017 | 3 | 20 | YES | 12 weeks | N | YES | 30% | 0% | 70% | ||
Financial Econometrics and Data Science | FIN3018 | 3 | 20 | YES | 12 weeks | N | YES | 100% | 0% | 0% | ||
Fixed Income Instruments | FIN3020 | 3 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Financial Bubbles and Crises | FIN3025 | 3 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% | ||
Python for Finance | FIN3028 | 3 | 20 | YES | 12 weeks | N | YES | 100% | 0% | 0% | ||
Sustainable Finance | FIN3029 | 3 | 20 | YES | 12 weeks | N | YES | 100% | 0% | 0% | ||
FinTech | FIN3030 | 3 | 20 | YES | 12 weeks | N | YES | 25% | 0% | 75% |
Notes