Financial Analytics

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, analytics, statistics and programming tools are used in the real world for the analysis and modelling of financial and economic data.



The programme will equip students with cutting-edge quantitative and computational techniques utilised by industry leading firms. 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.



It can lead to exciting careers in areas such as financial data science, trading, software development, portfolio management, consulting, data analytics, risk management, business analytics and academia.

Core Modules

Financial Data Analytics (15 credits)

Asset Pricing (15 credits)

Advanced Financial Data Analytics (15 credits)

Financial Modelling in Python (15 credits)

AI & Trading (15 credits)

Dissertation- MSc Financial Analytics (60 credits)

Applied Research Project (60 credits)

Data Management (15 credits)

Advanced Analytics & Machine Learning (15 credits)



Optional Modules

Corporate Finance (15 credits)

Financial Market Structure (15 credits)

Financial Mathematics (15 credits)

Entrance requirements

Graduate

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.



International Students

Our country/region pages include information on entry requirements, tuition fees, scholarships, student profiles, upcoming events and contacts for your country/region at https://www.qub.ac.uk/Study/international-students/your-country/



English Language Requirements

Evidence of an IELTS* score of 7.0, with not less than 6.0 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.



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.

Applicants are advised to apply as early as possible and ideally no later than 14th August 2026 for courses which commence in late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal prior to the deadline stated on course finder. Notifications to this effect will appear on the application portal against the programme application page.



Please note: international applicants will be required to pay a deposit to secure a place on this course.

1 year (Full Time)

Entry Year: Academic Year 2026/27

Career Prospects

Introduction

This programme will equip students with cutting-edge quantitative and computational techniques and strategies used by leading finance and financial technology (FinTech) firms. Today, all full-service finance and business consulting firms employ Financial Analytics professionals in their operations as do many boutique firms, such as asset managers and hedge funds. Furthermore, many IT software organisations are attracted to graduates from this programme due to their specialism at the interface between computing, data analytics and finance.



For further opportunities to enhance your studies and career prospects please see the school website.

https://www.qub.ac.uk/schools/queens-business-school/student-opportunities/



Employment after the Course

Graduate prospects from the MSc Financial Analytics are excellent; culminating in Queen’s being ranked first in the UK for Graduate Prospects in Accounting and Finance (Times and Sunday Times Good University Guide 2023). Graduates from this programme have secured roles with employers such as Citi, Deutsche Bank, Bank of China, Davy Group, Citco, Amazon, FD Technologies, Data Intellect and many others.



Typical roles include data scientists, financial engineers, software developers, equity analysts, consultants, portfolio analysts, data scientists, risk analysts, software developers, business analysts, and traders.

https://www.qub.ac.uk/directorates/sgc/careers/