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MSc Financial Analytics

A master’s programme blending data science, analytics, and programming for financial markets and FinTech applications.

Best for:Best for graduates with a strong quantitative background in finance, mathematics, economics, or related disciplines who seek to specialise in data-driven financial analysis and FinTech.

Queen's University Belfast · Belfast, Ireland
More professors at Queen's University Belfast
financial data analysiseconomic modellingdata science applications in financestatistical modellingprogramming for financial analyticsFinTech
This is a masters position — not a PhD studentship.
Deadline
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.
Funding
—
1 year (Full Time)
Start date
Late September 2026
Full-time
Location
Belfast
Ireland

Overview

The MSc Financial Analytics at Queen’s University Belfast is designed for graduates with a strong quantitative background in finance, mathematics, economics, or related fields. This programme equips students with practical skills in data science, statistical modelling, and programming to analyse and interpret financial and economic data. It bridges the gap between theoretical knowledge and real-world applications in financial markets and FinTech. The curriculum emphasises hands-on experience with data-driven decision-making tools, preparing graduates for careers in data-driven finance roles. Applicants should demonstrate a solid foundation in quantitative subjects and proficiency in English to fully engage with the programme’s rigorous content.

MSc Financial Analyticsdata science financequantitative financefinancial modellingFinTechstatistical analysisprogramming for analyticseconomic data analysis

What you'll do

  • Develop advanced skills in data science, analytics, and programming to analyse financial and economic data.
  • Apply statistical modelling techniques to interpret complex financial datasets.
  • Engage in hands-on projects that bridge theoretical knowledge with real-world financial market applications.
  • Utilise programming tools to build models for financial forecasting and risk assessment.
  • Collaborate on interdisciplinary projects that integrate quantitative methods with financial technology (FinTech).
  • Develop critical thinking and problem-solving skills to address challenges in financial analytics.
  • Participate in workshops and seminars focused on emerging trends in financial data analysis.

Requirements

Degree required: A strong 2.2 Honours degree (minimum 55%) or equivalent qualification in Finance, Mathematics, Economics, or a relevant quantitative subject. Science and Engineering disciplines with a significant mathematical component may also be considered.

Language: English; IELTS score of 7.0 with no component below 6.0 (or equivalent qualification)

Instruction: English

Required skills
  • Strong quantitative background in finance, mathematics, or economics
  • Proficiency in programming for data analysis
  • Experience with statistical modelling and data science tools
  • Analytical and problem-solving skills
  • Ability to interpret and model financial and economic data
Nice to have
Experience with financial data platforms or softwarePrior exposure to FinTech applications or toolsStrong computational and mathematical modelling skills
Eligibility
  • Applicants with a 2.2 Honours degree scoring below 55% may be considered on a case-by-case basis with sufficient relevant experience
  • International students must meet UKVI English language requirements for visa purposes

Funding & terms

Type
Unknown
Amount
—
Duration
1 year (Full Time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2026-08-14

Applicants are advised to apply as early as possible through the university’s official application portal. The programme typically closes on August 14, 2026, for courses starting in late September. International applicants are required to pay a deposit to secure their place. The application process involves submitting academic transcripts, proof of English proficiency, and other relevant documents through the university’s designated portal.

Documents required
  • CV or resume
  • Academic transcripts (Bachelor’s and Master’s if applicable)
  • Proof of English language proficiency (IELTS or equivalent)
  • Statement of purpose or personal statement
  • Two letters of recommendation
  • Deposit payment (for international applicants)
↗Check programme and admissions

Contact

https://www.qub.ac.uk/Study/PostgraduateStudy/How-to-apply/

Lab
School of Mathematics and Statistics
Queen's University Belfast
Ireland
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