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Actuarial Science and Financial Mathematics● OpenMastersPreview

MSc in Actuarial Science

Fast-track your actuarial career with a specialised master’s programme in quantitative risk assessment and financial modelling.

Best for:Best for quantitative graduates (mathematics, statistics, computer science, engineering) aiming to enter actuarial practice and fast-track professional certification.

University College Dublin · Dublin, Ireland
More professors at University College Dublin
actuarial modellingfinancial risk assessmentinsurance mathematicspension fund managementprobability theory in financestatistical analysis for risk
This is a masters position — not a PhD studentship.
Deadline
Apply online Who Should Apply? Full Time option suitable for: Domestic(EEA) applicants: Yes International (Non EU) applicants: Yes
Funding
—
1 year (full-time)
Start date
Flexible (typically aligned with academic year)
Full-time
Location
Dublin
Ireland

Overview

The MSc in Actuarial Science at University College Dublin is designed for graduates in quantitative disciplines such as mathematics, statistics, computer science, engineering, or economics. This programme accelerates your path to becoming a professional actuary by preparing you for the foundational examinations of the Institute and Faculty of Actuaries (UK). Through rigorous coursework in financial modelling, risk assessment, and actuarial theory, students gain the technical expertise needed to excel in insurance, pensions, and financial services. The programme blends theoretical knowledge with practical applications, ensuring graduates are industry-ready. It is ideal for those seeking a structured route into actuarial practice, leveraging quantitative skills to address real-world financial challenges.

actuarial sciencefinancial mathematicsquantitative financerisk modellinginsurance mathematicspension fundsprobability theorystatistical analysis

What you'll do

  • Develop advanced quantitative and analytical skills in actuarial science, including financial modelling and risk assessment.
  • Study core actuarial topics such as life contingencies, general insurance, investment analysis, and pension schemes.
  • Apply mathematical and statistical techniques to solve real-world financial and insurance problems.
  • Prepare for professional actuarial examinations, including those of the Institute and Faculty of Actuaries (UK).
  • Engage in practical case studies and projects to enhance understanding of actuarial practices in the industry.
  • Collaborate with peers and faculty to explore innovative solutions in financial risk management.

Requirements

Degree required: Upper second-class honours (2:1) degree or international equivalent in mathematics, statistics, computer science, engineering, or economics. Degrees in commerce or accounting are generally not sufficient due to insufficient quantitative content.

Degree offered: MSc in Actuarial Science

Language: English; IELTS 6.5 (no band less than 6.0 in each element) or equivalent proficiency test

Instruction: English

Required skills
  • Strong background in mathematics and statistics
  • Analytical and problem-solving skills
  • Proficiency in quantitative modelling and financial analysis
  • Ability to work with complex data sets and statistical software
Nice to have
Experience with programming languages such as Python or RPrior exposure to financial markets or insurance principlesFamiliarity with actuarial software tools
Eligibility
  • Open to domestic (EEA) and international (non-EU) applicants
  • No specific nationality restrictions
  • No residency requirements mentioned
  • No age restrictions
  • No prior work experience requirements

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
Not confirmed by the source
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: unknown

Applicants must apply online through the University College Dublin graduate admissions portal. The process involves submitting academic transcripts, proof of English proficiency (if applicable), and a statement of purpose. Additional criteria may be requested on a case-by-case basis. Recognition of Prior Learning (RPL) may be considered for admission or credit exemptions.

Documents required
  • CV or résumé
  • Academic transcripts (Bachelor’s degree)
  • Proof of English language proficiency (IELTS or equivalent)
  • Statement of purpose or personal statement
  • Two letters of recommendation (if required)
↗Check programme and admissions

Contact

Lab
School of Mathematics and Statistics
University College Dublin
Ireland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.