You have an interest in quantitative finance. You want a career in areas such as trading, quantitative portfolio management, data analytics, risk management and academia.
Studying quantitative finance looks at how mathematical, programming and statistical tools are used in the real world for the analysis and modelling of financial data.
The programme will equip students with the cutting-edge quantitative and computational techniques and strategies utilised by leading financial firms and will prepare students for future careers in quantitative finance, trading or more general finance environment. The course aims to bridge the gap between quantitative models and financial decision making.
The programme has been accepted into the CFA Institute University Recognition Program. It aligns with the Candidate Body of Knowledge (CBOK) - the core knowledge, skills, and abilities that are generally accepted and applied by investment professionals throughout the world.
Many classes are held in the Trading Room. Students have access to Bloomberg software, a market leader in financial news, data and analytics, which is used by many financial institutions. Students also learn through using UpTick and Oxyor simulations and through programming and modelling using Python and R. The Trading Room allows for an interactive and exciting learning environment which brings textbook theory to life.
Students are expected to join the Student Managed Fund where they will have a unique opportunity to manage real money. Queen’s Management School is one of only a handful of universities in the UK and Ireland to offer this experience which is a game-changer when it comes to graduate employability.
Corporate Finance or Market Microstructure
Research Methods in Finance
Advanced Analytics and Machine Learning
Computational Methods in Finance
Time-Series Financial Econometrics
Academic Dissertation or
Applied Research Project
Modules are subject to change
This MSc will equip students with the cutting-edge quantitative and computational techniques and strategies used by leading financial firms. Today, all full-service institutional finance firms employ quantitative finance professionals in their operations as well as other boutique firms, such as hedge funds, ranging from 20 or fewer employees to several thousand, which specialise in quantitative trading alone.
Many IT software organisations also specialise in the interface between computing and finance and would be very attracted to graduates from this programme. After completion of this MSc, there is a wide variety of roles available for graduates, some of which will suit those with strong mathematical skills who wish to use cutting-edge quantitative modelling techniques and work in collaboration with traders to develop bespoke financial products.
Other roles will involve becoming part of a trading team to buy, sell and manage financial assets. The skills developed in this programme will also provide an excellent grounding for those wishing to pursue more general careers in finance, such as portfolio management.
Queen's postgraduates reap exceptional benefits. Unique initiatives, such as Degree Plus and Researcher Plus bolster our commitment to employability, while innovative leadership and executive programmes alongside sterling integration with business experts help our students gain key leadership positions both nationally and internationally.
Employment after the Course
Graduates have gone on to work at companies including First Derivatives, Citi, PwC, Fintru, ITG and ESB.
Learning and Teaching
Learning opportunities available with this course are outlined below:
The programme will equip you with leading-edge quantitative and computational techniques and strategies used by leading firms and will prepare you for future careers in quantitative finance, trading or the more general finance environment. The course bridges the gap between quantitative models and financial decision-making and many modules focus on learning through simulation.
Assessments associated with the course are outlined below:
Class tests, individual and group projects, oral presentations and case study investigations.
Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Finance, Mathematics, Economics or another relevant quantitative subject. Science and Engineering disciplines will be considered where there is a significant mathematical component. Performance in relevant modules must be of the required standard.
Applicants with a 2.2 Honours degree or equivalent qualification acceptable to the University and sufficient relevant experience will be considered on a case-by-case basis.
For information on international qualification equivalents, please check the specific information for your country.
English Language Requirements
Evidence of an IELTS* score of 6.5, with not less than 5.5 in any component, or an equivalent qualification acceptable to the University is required. *Taken within the last 2 years.
International students wishing to apply to Queen's University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for the English language for visa purposes.
For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.
If you need to improve your English language skills before you enter this degree programme, INTO Queen's University Belfast offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for admission to this degree.
As a result of the COVID-19 pandemic, we will be offering Academic English and Pre-sessional courses online only from June to September 2020.
Academic English: an intensive English language and study skills course for successful university study at degree level
Pre-sessional English: a short intensive academic English course for students starting a degree programme at Queen's University Belfast and who need to improve their English.
Northern Ireland (NI)
England, Scotland or Wales (GB)
Other (non-UK) EU
All tuition fees quoted are for the academic year 2020-21. Tuition fees will be subject to an annual inflationary increase unless explicitly stated otherwise.
Additional course costs
Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.
Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges.
Students undertaking a period of work placement or study abroad, as either a compulsory or optional part of their programme, should be aware that they will have to fund additional travel and living costs.
If a programme includes a major project or dissertation, there may be costs associated with transport, accommodation and/or materials. The amount will depend on the project chosen. There may also be additional costs for printing and binding.
Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen.
There are also additional charges for graduation ceremonies, examination resits and library fines.
Quantitative Finance costs
There are no specific additional course costs associated with this programme.
How do I fund my study?
The Department for the Economy will provide a tuition fee loan of up to £5,500 per NI / EU student for postgraduate study.
A postgraduate loans system in the UK offers government-backed student loans of up to £10,609 for taught and research Masters courses in all subject areas. Criteria, eligibility, repayment and application information are available on the UK government website.