Course summary
The MSc Financial Analytics is the programme for you if you have an interest in financial markets, or financial technology (FinTech), and enjoy working with data. It shows you how data science, statistics and programming tools are used in the real world for the analysis and modelling of financial data. It can lead to exciting careers in areas such as financial data science, trading, portfolio management, data analytics, risk management and academia. The programme will equip students with cutting-edge quantitative and computational techniques utilised by leading finance and FinTech firms. Given its strong industry focus it will open up excellent graduate opportunities in the financial markets, as well as in quantitative finance and trading environments. The course aims to bridge the gap between complex quantitative models and financial decision making, and does so by equipping students with dual skillsets in both finance and data analysis.
Modules
For more information please see http://www.qub.ac.uk/courses/postgraduate-taught/quantitative-finance-msc/
How to apply
International applicants
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 English language for visa purposes. For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.
Entry requirements
Normally a strong 2.2 Honours degree (with minimum of 55%) 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. Performance in relevant modules must be of the required standard. Applicants with a 2.2 Honours degree (scoring below 55%) or equivalent qualification acceptable to the University and sufficient relevant experience will be considered on a case-by-case basis.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
For tuition fee information relating to this course please see the University's Postgraduate Tuition Fee website - http://www.qub.ac.uk/Study/PostgraduateStudy/TuitionFees.
Sponsorship information
For more information on funding and scholarships for Postgraduate study, please see http://www.qub.ac.uk/Study/PostgraduateStudy/FundingandScholarships/
Provider information
Queen's University Belfast
University Road
Belfast
BT7 1NN