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Financial Mathematics● OpenMastersPreview

MSc in Financial Mathematics

Gain a competitive edge in quantitative finance with advanced mathematical and statistical training.

Best for:Best for quantitative graduates in mathematics, statistics, or related disciplines seeking a career in financial engineering and analytics.

University College Dublin · Dublin, Ireland · R1 · First-stage researcher
More professors at University College Dublin
Financial MathematicsProbability TheoryStochastic ProcessesQuantitative FinanceStatistical Analysis
This is a masters position — not a PhD studentship.
Deadline
—
Funding
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1 year full-time or 2 years part-time
Start date
flexible
Location
Dublin
Ireland

Overview

The Master of Science in Financial Mathematics at University College Dublin is tailored for individuals holding a quantitative undergraduate degree who want to enter high-level financial sector roles. The programme equips students with rigorous mathematical, statistical, and computational tools required for modern quantitative finance. Through structured coursework, participants enhance their analytical capabilities to model financial markets and risk. Candidates are expected to engage actively with advanced mathematical concepts and successfully complete all 90 ECTS credits of the curriculum.

Financial MathematicsMScQuantitative FinanceStatisticsCalculusProbabilityRisk AnalysisMathematical Modelling

What you'll do

  • Complete rigorous graduate-level coursework in financial mathematics and statistics
  • Participate in lectures, tutorials, and practical quantitative problem-solving sessions
  • Master advanced mathematical techniques applicable to financial derivatives and market modelling
  • Undertake independent study and examinations demonstrating mastery of program learning outcomes

Requirements

Degree required: BSc in Financial Mathematics, Mathematics, Applied and Computational Mathematics, Statistics, Physics, Engineering, Computer Science, Economics, or Finance with a substantial quantitative component

Degree offered: MSc

Language: English; IELTS 6.5 with no band less than 6.0, or equivalent

Instruction: English

Required skills
  • Proficiency in undergraduate calculus and linear algebra
  • Strong foundation in probability and statistics
  • Analytical and quantitative problem-solving ability
  • Academic background meeting a minimum 2:1 grade equivalent or higher
Nice to have
Prior programming or computational experience in a quantitative contextCoursework in advanced financial economics or econometrics
Eligibility
  • Applicants must hold an approved undergraduate degree at 2:1 level or equivalent
  • Fulfillment of English language proficiency requirements or completion of UCD pathway programmes

Funding & terms

Type
Unknown
Amount
—
Duration
1 year full-time or 2 years part-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
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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants should submit their application through the official University College Dublin graduate admissions portal. Ensure all required academic transcripts and English language test scores are uploaded to support the evaluation process.

Documents required
  • CV
  • BSc transcripts
  • English language proficiency test scores
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.