Quantitative Finance
Master
In Belfast City
Description
-
Type
Master
-
Location
Belfast city (Northern Ireland)
-
Duration
1 Year
-
Start date
Different dates available
Overview: Missed the recent webinar? The recording is now available to watch: Speaker - Barry Quinn, Programme Director Click here to watch the recorded webinar. Why is this subject for you? You have an interest in quantitative financeYou want a career in areas such as trading, quantitative portfolio management, data analytics, risk management and academiaYou want to learn through doing 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 a quantitative finance, trading or more general finance environment. The course aims to bridge the gap between quantitative models and financial decision making. Many modules focus on learning through simulation based teaching. Why Queen's? Trading room 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 Matlab and R. The Trading Room allows for an interactive and exciting learning environment which brings textbook theory to life. Accreditation 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. Trading and Investment Club Students can join the Trading and Investment Club, a student run organisation which aims to educate its members on...
Facilities
Location
Start date
Start date
About this course
Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Finance, Mathematics, Economics or other relevant quantitative subject. Science and Engineering disciplines will be considered where there is a significant mathematical component. 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. Please note: a non-refundable deposit (which will be deducted from tuition fees) of...
Reviews
Subjects
- Trading
- Finance
- Financial Training
- Financial
- Quantitative Finance
- Investment
- Computational
- Programming
- Decision Making
- Simulation
- Teaching
- Market
Course programme
Course Details
Semester 1
- Asset Pricing
- Corporate Finance
- Market Microstructure
- Research Methods in Finance
Semester 2
- Computational Methods in Finance
- Derivatives
- Time-Series
- Financial Econometrics
- Trading Principles
Semester 3
- Dissertation
Modules are subject to change
Assessment & FeedbackEnd-of-semester exams, class tests, individual and group projects, oral presentations and case study investigations.
Learning and TeachingThe 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 a 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.
The top students at the end of the second semester can choose an industry-focused dissertation in partnership with a local employer. This is a unique opportunity to engage with a financial firm and work with them on a real world problem.
Additional information
Quantitative Finance