Skip to Content


Programme Specification

BSc Finance

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 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 Years
Total Credits for Programme 360
Exit Awards available No

Institute Information

Teaching Institution

Queen's University Belfast


Queen's Management 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)

No accreditations (PSRB) found.

Regulation Information

Does the Programme have any approved exemptions from the University General Regulations
(Please see 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

Stage 1
Students will be allowed to proceed from Stage 1 to Stage 2 only when they have passed all six Stage 1 modules.

Stage 2
Students will be allowed to proceed from Stage 2 to Stage 3 when they have passed at least 5 Stage 2 modules.

Students with protected characteristics


Are students subject to Fitness to Practise Regulations

(Please see General Regulations)


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 Skills

On the completion of this course successful students will be able to:

critically evaluate information
apply logic and reasoning
pursue independent enquiry

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 Skills

On the completion of this course successful students will be able to:

communicate ideas in both written and presentational forms
use ICT software effectively work both independently and in groups
manage their own time and workloads effectively
engage with employers and practitioners

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 & Understanding

On the completion of this course successful students will be able to:

appreciate the importance of internationalisation

engage with issues around ethics, responsibility and sustainability

understand the role, operation and functions of international financial institutions and markets which underpin the global financial industry, including an awareness of the broader economic, social, ethical, legal, political, regulatory and environmental issues which influence their operation.

critique and apply the theoretical concepts of finance.

understand the behaviour, financing, ethical considerations and regulations influencing the financial decisions of individuals, firms and governments.

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 Specific

On 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.
Theoretical content relating to this is assessed using a combination of class tests and examinations.

Module Information

Stages and Modules

Module Title Module Code Level/ stage Credits


Duration Pre-requisite


S1 S2 Core Option Coursework % Practical % Examination %
Economy, Society, and Public Policy 2 ECO1016 1 20 -- YES 12 weeks N YES -- 30% 0% 70%
Statistical Methods ECO1003 1 20 -- YES 12 weeks N YES -- 0% 20% 80%
Economy, Society, and Public Policy 1 ECO1015 1 20 YES -- 12 weeks N YES -- 30% 0% 70%
Instruments, Markets and Institutions FIN1004 1 20 -- YES 12 weeks N YES -- 25% 0% 75%
Mathematics for Finance FIN1002 1 20 YES -- 12 weeks N YES -- 13% 0% 87%
Financial Reporting and Analysis FIN1003 1 20 YES -- 12 weeks N YES -- 20% 0% 80%
Excel and VBA FIN2020 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%
Futures and Options FIN2022 2 20 YES -- 12 weeks N YES -- 25% 0% 75%
Behavioural Finance FIN2019 2 20 -- YES 12 weeks N YES -- 25% 0% 75%
Investment Analysis FIN2010 2 20 -- YES 12 weeks N YES -- 0% 0% 100%
Monetary Theory FIN2014 2 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%
FinTech FIN3030 3 20 -- YES 12 weeks N -- YES 25% 0% 75%
Fixed Income Instruments FIN3020 3 20 -- YES 12 weeks N -- YES 0% 0% 100%
Sustainable Finance FIN3029 3 20 YES -- 12 weeks N -- YES 100% 0% 0%
Financial Engineering FIN3017 3 20 YES -- 12 weeks N -- YES 0% 15% 85%
Equity Research FIN3013 3 20 -- YES 12 weeks N -- YES 30% 0% 70%
International Finance FIN3015 3 20 YES -- 12 weeks N -- YES 25% 0% 75%
Corporate Finance FIN3016 3 20 -- YES 12 weeks N -- YES 75% 0% 25%
Financial Econometrics and Data Science FIN3018 3 20 YES -- 12 weeks N -- YES 0% 30% 70%


No notes found.